senior backend engineer, genai

לפני 4 שעות

senior backend engineer, genai

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

anyone can ship an ai agent. shipping one thats right ~98% of the time, with no human checking its work, takes different engineering. thats what this team builds.
we're looking for a senior backend engineer to help push our ai customer-service agents closer to fully autonomous insurance service. you'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and sms - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. this isn't a demo or a copilot. real customers, real money, real stakes, every day.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work.
our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role you'll
design, build, and own production llm agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely
work on our Real-Time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast
shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows
ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production
track cost per conversation across millions of llm calls and find the wins that cut spend without cutting quality
own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense
build and operate scalable backend services in typescript/node on kubernetes/aws with deep observability - if you ship it, you own it
what you'll need
6+ years building production-grade backend systems that real users depend on
hands-on experience shipping llm-powered features to production, including honest reckoning with non-determinism, hallucination, and cost
an evaluation mindset - you don't call a change "better" without a measurement, and you're comfortable with the statistics that back that claim
a track record of debugging distributed systems in production, and the discipline to find root cause across service boundaries
fluency with agentic coding tools like claude code or cursor, including the habit of treating ai-generated code with a senior reviewer's skepticism
the ability to pull your own numbers, design your own experiments, and measure your own impact
ready to work in an office environment most days of the week

This position is open to all candidates.

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לפני 4 שעות

senior backend engineer - ml platform

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we're looking for a senior backend engineer to help build and scale the Machine Learning platform that powers how the company uses ai across the business. you'll be part of the ml platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work. our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role you'll
design and build the foundational ml platform and ai agents to accelerate data science model delivery across all business units
architect cloud-native microservices running on kubernetes, using infrastructure-as-code to automate model deployment and management
own the end-to-end ml lifecycle, covering training, testing, deployment, and Real-Time monitoring
evaluate and choose the right tools and technologies based on workload demands and performance requirements
collaborate with engineering, data science, and product teams to keep ml projects aligned with business goals
identify and fix reliability, scalability, and performance gaps before they become problems.

Requirements:
what you'll need
6+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems
strong proficiency in Python
hands-on experience with relational and nosql databases, and at least one major cloud platform (aws, azure, or gcp)
experience with training, testing, deploying, and monitoring Real-Time or near Real-Time ml models in production
fluent with ai-powered development tools like cursor and claude code, and genuinely curious about what's next in genai, llms, and ai agents
familiarity with ai concepts like rag, embeddings, mixture-of-experts, prompt crafting, and llm context engineering - an advantage
sharp problem-solving instincts and the ability to move fast without cutting corners
bachelor's or master's degree in Computer Science, engineering, statistics, or a related field
ready to work in an office environment most days of the week.

This position is open to all candidates.

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לפני 4 שעות

backend engineer - ml platform

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we're looking for a backend engineer to help build and scale the Machine Learning platform that powers how the company uses ai across the business. you'll be part of the ml platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work. our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role you'll:
design and build the foundational ml platform and ai agents to accelerate data science model delivery across all business units
architect cloud-native microservices running on kubernetes, using infrastructure-as-code to automate model deployment and management
own the end-to-end ml lifecycle, covering training, testing, deployment, and Real-Time monitoring
evaluate and choose the right tools and technologies based on workload demands and performance requirements
collaborate with engineering, data science, and product teams to keep ml projects aligned with business goals
identify and fix reliability, scalability, and performance gaps before they become problems.

Requirements:
what you'll need
3+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems
strong proficiency in Python
hands-on experience with relational and nosql databases, and at least one major cloud platform (aws, azure, or gcp)
experience with training, testing, deploying, and monitoring Real-Time or near Real-Time ml models in production
fluent with ai-powered development tools like cursor and claude code, and genuinely curious about what's next in genai, llms, and ai agents
familiarity with ai concepts like rag, embeddings, mixture-of-experts, prompt crafting, and llm context engineering - an advantage
sharp problem-solving instincts and the ability to move fast without cutting corners
bachelor's or master's degree in Computer Science, engineering, statistics, or a related field
ready to work in an office environment most days of the week

This position is open to all candidates.

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8895307

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לפני 4 שעות

senior backend engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

were looking for a senior-level backend engineer to join our growing engineering team in tlv.
this role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the product, QA, data, and Machine Learning teams-all with the goal of delivering a seamless, joyful experience for our customers.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work.
our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role youll:
help build our products using microservices written in typescript (using nestjs).
leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
collaborate closely with the product team, in a self-sufficient squad to achieve the squads okrs
be the owner of your domain to ensure code quality, performance, and scalability of our products
coach and mentor other developers and help them elevate their skills.

Requirements:
what youll need:
6+ years working as a backend engineer
bsc in Computer Science or mathematics (or equivalent experience)
passionate about technology
broad knowledge of modern backend frameworks, tools, and architecture
experience working on high scale, production-grade projects
past contributions to open source projects are a plus
ready to work in an office environment most days of the week.

This position is open to all candidates.

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04/10/2026

AI Transformation Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a AI Transformation Engineer.
You'll join the AI Platform team, the group building the AI infrastructure, agentic workflows, and tooling that power R&D organization. Our mandate is to make the entire software development lifecycle faster and smarter with AI, and we're a small, hands-on team that ships real systems, not pilots
This isn't a role where work arrives as tickets, and it isn't a prompt-engineering role. You'll own a set of KPIs the team is driving, and it's on you to turn a fuzzy goal into something measurable: figure out what actually needs to be built, define how you'll know it's working, and build it. That means talking to engineers, understanding where the SDLC breaks down, and turning that into agentic workflows and platform capability that ship and hold up over time.

Requirements:
6-8+ years of hands-on experience in senior software engineering positions.
Hands-on experience building and shipping agentic workflows or LLM-powered systems in production, not just prototypes.
Real experience working across agent harnesses (e.g., Claude Code and similar), and hands-on understanding of agent context: how it's built, scaffolded, and kept effective at scale.
Practical understanding of the actual building blocks: LLMs, RAG, tool use, evaluations, and human-in-the-loop patterns, not just theoretical familiarity.
Strong software engineering fundamentals: you can design, build, and operate a system end to end.
A demonstrated ability to work without a pre-defined spec: given a goal or a KPI, you can find the problem, scope the solution, and build it.
Product judgment: you can separate what's worth building from what isn't, and you know how to tell whether it actually worked.
Strong discovery skills: you can sit with engineers, map how work actually happens today, and identify where automation genuinely helps versus where it doesn't.
Strong communication skills: you can translate between technical tradeoffs and the people who need to understand the impact.
Advantages
A cost-aware mindset: you treat tokens like a resource to be managed, not an afterthought.
Experience building on top of Kubernetes, containers, or CI/CD infrastructure in production.
Experience with MCP-based tooling, agent orchestration frameworks, or LLM gateways.
Familiarity with observability tooling (e.g., Datadog) for monitoring agent or platform health.
Background in a fast-paced, high-growth B2B SaaS environment.
Exposure to health tech, healthcare institutions, or behavioral health.

This position is open to all candidates.

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13/10/2026

Senior AI Builder

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Senior AI Builder to take AI from a "promising demo" to real production systems that customers rely on - and that continue to work well over time.

Our R&D group is a team of 12 engineers and one architect, spanning backend to mobile, building the accounting platform businesses actually run on every day.

What you'll do

Build and ship LLM-powered AI capabilities to production- agentic flows, retrieval over our data, extraction from real-world documents, and more. Solutions need to be accurate, measurable, cost-efficient, and rollback-ready.
Build and lead the evaluation process - continuously measure the quality of models and solutions, and be able to answer clearly: is the new version actually better than last week's?
Own whatever it takes to get the solution into production- from AWS Lambda to Vue and PHP. You don't need to be an expert in every technology, but you should be comfortable getting into the code and solving problems wherever the work actually lives.

Requirements:
5+ years of experience building and operating production systems - real hands-on experience building software, shipping it to production, and operating it over time.
Significant hands-on experience building with LLMs- including dealing with challenges like retrieval quality degrading, agent loops running out of control, token costs spiking, and reliability and accuracy issues.
Strong TypeScript or Python skills and comfort with AWS serverless.
The engineering judgment to tell a stakeholder: "This isn't an AI problem."

This position is open to all candidates.

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לפני 4 שעות

senior backend engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical and good people.
we are looking for a senior backend engineer to build the distributed services, data access layers, and agent orchestration behind our ai-powered products - systems that serve analytics over billions of rows and run long-lived, llm-driven workflows in production.
what you'll do:
this role combines deep backend and distributed systems expertise with product thinking and the ability to leverage ai tools effectively across the development lifecycle. you will work closely with product, design, frontend, and data /ai teams to build reliable, performant services, while driving engineering excellence and modern development practices. your contributions will shape the technical foundation of an ai-first product and directly influence what end users can ask of it.
what does the day to day of a senior backend engineer at the company look like:
your daily work will span service architecture, data access at scale, workflow orchestration, and ai-augmented development, engaging directly with the systems that power our product.
your role will include:
design and build scalable, maintainable backend services in Python (fastapi, pydantic, asyncio) and typescript (nestjs / Node.js )
own api design, contracts, and versioning across services - including the tool surfaces (mcp) our ai agents call directly
design and optimize data models, schemas, migrations, and query performance across transactional (postgresql) and large-scale analytical stores (firebolt, athena, duckdb)
build and operate asynchronous, long-running execution: durable workflow orchestration (temporal), queues, scheduled jobs, and event-driven processing
integrate llm and agent runtimes (langgraph, mcp, model apis) into production services behind deterministic, testable boundaries
implement authentication, authorization, and secure service-to-service integration patterns across an internal service mesh
build resilient upstream data -fetching layers: timeouts, retries with backoff, caching strategies, and graceful degradation when a source is slow or down
lead backend technical decisions, code quality standards, and system architecture
ensure system scalability, fault tolerance, and observability - structured logging, metrics, distributed tracing, and alerting that makes production debuggable
own services end to end in production: ci/cd pipelines, containerized deployments to kubernetes, and the debugging that follows
partner with frontend engineers on api contracts, data shapes, performance budgets, and UX constraints - designing for the consumer without owning the UI
translate product requirements into robust, scalable technical solutions, working closely with product and design
conduct high-quality code reviews and drive architectural discussions and best practices
improve testing across the pyramid - unit, integration, and end-to-end against real service stacks - alongside observability and reliability
use ai coding tools effectively in daily development work (claude code, cursor, copilot, etc.), critically evaluating and refining ai-generated code, especially for backend logic and data integrity
design efficient personal/team workflows for ai-assisted development and contribute to engineering productivity through ai tooling and automation

דרישות:
what does the ideal candidate look like:
5+ years of backend engineering experience, building and operating production services at scale#ENGLIS המשרה מיועדת לנשים ולגברים כאחד.

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18/10/2026

Staff Engineer - Office of the CTO

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Staff Engineer - Office of the CTO
As a member of the Office of the CTO, your mission is to make every engineer 10x more effective. You will be a central driver in reimagining our Software Development Lifecycle (SDLC), building the intelligent platforms, automated golden paths, and AI-powered tools that will fundamentally change how we build software. This is a rare opportunity to have a massive, force-multiplying impact on our entire R&D & Product organizations, building the systems that enable hundreds of engineers to innovate faster and deliver with exceptional quality. The role is based in our Tel Aviv office.
Key Responsibilities:
Shape the Software Factory: Act as a key thought leader in shaping our Software Factory - the agentic workflows and loops that carry work from idea to production. You will research, prototype, and build the agents, harnesses, and tools behind them, and define the governance, controls, and standards that keep the factory predictable and safe at scale.
Build the Platform Beneath It: The factory only runs on solid foundations, and the Office of the CTO owns them. You will take a hands-on role in building and scaling the shared infrastructure every agentic workflow depends on - our AI gateway, shared memory and context graphs, guardrails, and the golden paths that abstract this complexity away from the teams using it.
Make Quality Automatic: Turn those standards into enforcement - automated gates in our CI/CD pipelines, evaluations and guardrails for agent-generated work, and the telemetry that tells us whether the factory is actually producing better outcomes. Quality, testing, security, and reliability become the default, not the exception.
Drive Adoption & Foster Community: Champion the tools you build. You will create documentation, lead workshops, and act as an internal advocate for your users, turning their feedback into the next iteration. You will also mentor and guide builders across R&D and product - in Tel Aviv and across our global sites - helping to foster our AI-native culture.

Requirements:
We are looking for a Swiss Army knife - a passionate, high-impact engineer who thrives on solving complex challenges and building leveraged solutions.
Your Mindset & How You Work:
You Have a Builders Mentality & Deep Ownership: You have a deep-seated need to build and fix things. You dont just identify problems; you roll up your sleeves, take full ownership of the outcome, and follow through until you see a measurable impact.
You are Customer-Obsessed: You are driven to understand the developers workflow, identify their friction points, and build tools they love. A sloppy process or a broken tool genuinely bothers you because you know it impacts your customer.
You are a Collaborative, Low-Ego Influencer: You thrive on partnership. You know how to influence decisions and bring people along with you, working across teams to drive change with humility and a focus on the shared goal.
You are a Self-Starter Who Drives Change: You dont wait to be asked. You proactively identify opportunities, start initiatives, and drive them end-to-end. You see change as an opportunity and push forward despite ambiguity.
Your Experience & Qualifications
Experience & Leadership: 10+ years of software engineering experience, with a proven track record in a Staff, Principal, or architectural leadership role. You have strong architectural depth and experience shaping the technical direction of complex, cross-team projects.
Agentic Engineering & AI Workflows: You have hands-on experience researching, architecting, and building agentic workflows, autonomous systems, and AI-driven development loops. You are fluent in leveraging modern agentic platforms and developer tooling to drive full-stack engineering automation.
Systems Architecture & Design: Deep expertise in designing distributed, composable, and extensible systems. You have a strong understanding of modern development stacks

This position is open to all candidates.

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8861162

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11/10/2026

Backend Engineer - Agentic AI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Backend Engineer to help build the core infrastructure behind our company's agentic AI system.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

Requirements:
5+ years of professional backend engineering experience.
Strong expertise in Python and production service development.
Experience building complex, production-grade backend systems such as APIs, data pipelines, distributed systems, or workflow engines.
Hands-on experience or strong practical familiarity with LLMs, agentic AI, tool calling, RAG, workflow orchestration, or AI infrastructure.
Ability to design systems that use AI safely: validation, guardrails, evaluation, observability, and controlled execution.
Solid understanding of databases, data modeling, and API design.
Comfort working with ambiguous product requirements and turning them into robust technical designs.
Excitement about building a new category and solving problems that do not have off-the-shelf answers.
Nice to Have:
Experience with identity, security, governance, permissions, or enterprise SaaS integrations.
Experience with LLM evaluation, tracing, observability, or production AI systems.
Experience building systems that automate complex operational workflows end-to-end.

This position is open to all candidates.

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8851775

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18/10/2026

Lead AI Transformation Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

A security company, is building an internal AI capability across the organization: agents that perform real tasks as the organization, with ROI and security assessed at every step. We are looking for a senior engineer who owns this end to end - a hands-on builder who also carries the senior function: setting the technical strategy, making the architecture calls, and being the person leadership trusts on internal AI.
This is not a pure IC build role and not a pure strategy role. You will personally build the flagship systems - production agents, the context layer, the evaluation and safety stack - while also deciding what gets built, in what order, and to what standard. You will work across R&D, IT, Security, BizOps, Customer, Sales, Marketing, People, and Finance, with the AI Transformation Officer owning the business portfolio.
What you'll do - strategy and senior function:
Own the technical strategy for our internal AI transformation: target architecture, model and vendor choices, build-vs-buy calls.
Shape the AI portfolio: which workflows to automate, in what sequence, with what success metrics - and push back when the wrong thing is being built.
Set and enforce the bar on ROI and security for every AI system: cost, adoption, cycle-time impact, access control, and auditability are reviewed per project, not after launch.
Act as the senior technical voice for internal AI: advise leadership, review AI initiatives across the org.
Turn one-off builds into a real internal platform: reusable patterns, shared services, and standards that AI Champions and teams adopt.
Mentor AI Champions; raise the org's practical AI level.
Manage our AI- Champions Community.
Continuously evaluate models, vendors, and frameworks, and keep us agile.
What you'll do - hands-on build:
Personally design, build, deploy, and own the flagship internal agents and AI workflows, from prototype through production.
Build and evolve our AI context layer: connectors, APIs, retrieval services, metadata, identity and authorization, controls, and tool interfaces.
Create safe action tools for agents and infrastructure for agents to work.
Build RAG, tool-calling, structured-output, and multi-step agentic workflows using the right model and architecture for each problem.
Own the production quality bar for what you ship: evaluation datasets and automated checks (accuracy, groundedness, task completion, safety, cost etc.)
Work directly with business owners to map processes, test with users, and drive each pilot to a clear scale-or-stop decision.

Requirements:
4+ years of production software engineering, including strong Python, APIs, testing, CI/CD, data contracts, and cloud services. Applied and agentic AI is a new field - nobody has a decade of it - so we weight demonstrated ownership and depth over years: what you shipped, what you owned end to end, how deep you went.
Evidence of operating at senior scope, wherever you earned it: you have set technical direction, made architecture calls that others built on, and carried systems end to end - as a staff/lead engineer, a first AI hire, or similar.
Executive fluency: you turn ambiguous business needs into a technical plan, explain trade-offs simply to non-engineers, and say no with reasoning when needed.
Ownership mindset: you measure whether the system changed the business process, not whether the demo ran.
Advantages:
Experience as a first or early AI hire, or standing up an internal AI platform or function.
Product management experience.
Experience building internal platforms or company-wide data products.

This position is open to all candidates.

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8860910

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13/10/2026

Senior AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

Requirements:
Engineering Foundations:
- Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply.
- Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically.
- Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job.
- Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution.
- Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments.
- Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI.
- Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM).
AI / LLM Expertise:
- Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design.

This position is open to all candidates.

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8855067

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