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We are looking for a Senior AI Software Engineer to build the agents that sit on top of our search platform: systems that take a user's intent, break it into steps, gather and verify information from the web, and return answers an agent can act on. You will work across applied research and engineering, designing how agents plan, call tools, retrieve, and reason so they accomplish open-ended tasks reliably and at scale.

This is a high-ownership role at the intersection of agent systems, retrieval, and product. You will turn frontier-model capabilities into dependable, production-grade agent behavior, and you will own that behavior end to end, from the prompts and tools to the evaluation that proves it works.

In this position, your responsibility will be to

Design and build AI agents that plan, retrieve, and reason over real-world information to complete open-ended tasks

Build the tool interfaces and context engineering that let frontier models use our search and other tools effectively

Mine and analyze usage data to build agents that learn and improve continually from how they are used

Turn new model capabilities into reliable product features, and own them from prototype to production

Define the evaluations, metrics, and guardrails that prove an agent is accurate, grounded, and safe

Improve agent quality across reasoning, planning, tool use, and grounding against real user tasks

Build the backend and infrastructure that run agents reliably under high volume

Collaborate with the search, ML, and product teams to make agent and platform capabilities reinforce each other

Were looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

Were looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes - youll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
Build and evolve platform-level capabilities: platform architecture and operating model-multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.
Example projects
Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10-100x cluster growth.
Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.
Tech stack
Core: modern C++ (C++20, async + multithreaded primitives)
Services & tooling: Go and Python (microservices, utilities, integration tests)

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include:

Designing and developing LLM training platform.
Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
Improving job scheduling strategies to minimize resource fragmentation.

As a Senior Software Engineer on a search vertical, you'll help build systems that capture what is true about a domain. You'll work on extracting, connecting, retrieving, and reasoning over knowledge from the web and beyond, turning messy, real-world data into structured, trustworthy knowledge so AI agents can answer questions with precision and completeness.

You will optimize the retrieval and knowledge layer for a vertical: how a domain's content is indexed, linked into entities, ranked, and continuously refreshed, then measured and improved against rigorous IR metrics. This is an information-retrieval and systems role spanning indexing internals, hybrid retrieval, and entity resolution, with the goal of making each vertical the best place in the world to search its domain.

In this position, your responsibility will be to

Design, implement, and operate the retrieval system for a search vertical

Connect and tune the data pipeline, from ingestion to relevance tuning

Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar)

Develop structured-extraction pipelines over messy, unstructured domain data

Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it

Define evaluation and quality metrics for relevance and drive measurable improvements

Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met

Enable safe experimentation with retrieval, ranking, and extraction strategies

We are looking for a strong technical leader to lead our Runtime team - one of the most critical backend teams. The Runtime team owns the execution layer of all our automations, the core of our product. The team operates at a significant scale, processing hundreds of millions of steps and millions of security events every day in systems that simply cannot break.

You will lead a strong team of five senior engineers and take ownership of both the people and the technology. This role combines team management with deep technical leadership: developing engineers, setting the technical vision, leading design and architecture decisions, and staying close enough to the code to step in when needed.

What Will You Do?
Lead, mentor, and develop a team of five experienced backend engineers.
Own the teams technical vision, priorities, execution, and long-term direction.
Lead the design and implementation of architectural changes that keep our platform reliable at massive scale.
Drive complex, cross-team projects and influence technical decisions beyond your immediate team.
Lead production incidents and post-mortems, and continuously raise the bar for reliability and operational excellence.
Identify risks and problems before they impact production, and build the processes and infrastructure needed to prevent them.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Use data to understand how customers interact with the platform and turn emerging use cases into new product capabilities.
Help lead significant technical initiatives, including the evolution from GCP toward a Multi-Cloud architecture.
Work with modern AI tools such as Cursor and Claude Code as a core part of the development workflow, while maintaining deep technical understanding and high-quality standards.

We are looking for a strong technical leader to lead one of our product-focused R&D teams at Torq.

This team owns meaningful product capabilities used across the Torq platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.

You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.

What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, youll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. Youll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.Youll play a key role in scaling our global infrastructure footprint across the EU markets.

Travel: This position may require on-site presence at data centers during key deployment phases.

Your responsibilities will include:

Lead end-to-end delivery of new data center programs, from design through handover to operations.
Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
Translate business and technical requirements into actionable project plans and measurable deliverables.
Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
Provide structured program reporting, including dashboards, documentation, and executive updates.

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

Youre welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include:

Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We're hiring a Technical Support Engineer to provide excellent customer support for highly technical users, from AI engineers to infrastructure architects. You'll be monitoring incoming tickets, fielding requests, helping teams debug production LLM applications and agents, and ensuring critical issues get resolved quickly. You'll be a key part of delivering world-class technical support for modern AI platforms.

Your responsibilities will include:

Monitor incoming support tickets and provide timely responses to technical support inquiries-diagnosing issues across customer setup, Tavily products, and deployment issues
Escalate queries to Engineering and Customer Success if required depending on scope and impact
Field requests as part of our follow-the-sun support coverage to ensure customers get help when they need it
Collaborate with engineering, operations, documentation, and product teams to escalate and resolve bugs, and communicate customer needs
Use and help improve internal tooling, diagnostics, and runbooks for issue triage
Participate in post-mortems for critical incidents and help document learnings
Track KPIs for support health (CSAT, bug recurrence) and contribute to continuous improvement efforts
Help improve documentation and knowledge articles to enhance self-service resources

we are looking for a Senior QA Lead to act as a Quality Owner, driving scalable, consistent, and measurable quality across multiple development teams.
quality is owned by development teams. The QA Lead ensures this ownership is effective, aligned, and continuously improving - by defining standards, enabling teams, and providing system-level visibility and risk assessment.
The QA Lead engages at key points in the development lifecycle, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones.
This role focuses on strategy, enablement, and system thinking, rather than hands-on execution of tests.
In this role, you will be responsible for:
Leading quality strategy across teams, including defining testing approaches across different testing layers
Defining and driving quality standards, including Definition of Done and CI expectations
Prioritizing involvement based on impact and risk, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones
Establishing and monitoring quality metrics, and providing clear visibility into quality health
Leading cross-team quality efforts, especially around integrations, shared flows, and areas with unclear ownership
Building and maintaining a system-level understanding that enables early identification of gaps beyond individual team boundaries
Guiding development teams in test design and coverage decisions, promoting strong quality ownership within teams
Promoting effective and responsible use of AI in testing and quality processes
Driving continuous improvement in quality practices, while acting as a knowledge center for quality and system behavior within your domain

We're looking for a Senior Software Engineer to join our Accounts Payable (AP) group and own mission-critical domains powering high-scale financial workflows. You'll work inside an AI-native feature factory, real infrastructure, real tooling, and a team that treats AI as a core part of how software gets designed, built, tested, and shipped.
You'll design and evolve scalable systems for invoice processing and bill lifecycle management, applying spec-driven design, SOLID principles, proven design patterns, and strong automated-testing standards, and you'll help set the bar for what AI-augmented engineering looks like at scale.
We're looking for a collaborative team player with strong ownership and a proactive, innovative mindset, someone who challenges the status quo, drives work to a complete and deterministic finish, and is genuinely excited about what AI-augmented engineering unlocks.
In this role, you will:
Design and build scalable, high-performance microservices in a complex, high-volume financial production environment
Own critical components end-to-end and architect systems that perform under load and support future scale
Lead technical design discussions and influence architectural decisions
Drive spec-driven development with SOLID principles and proven design patterns
Write clean, maintainable, testable code with strong emphasis on unit and integration testing
Improve production quality, observability, and reliability standards
Collaborate closely with Product, Architects, DevOps, and cross-functional teams
Lead and mentor engineers, setting high engineering standards
Push the frontier of AI-assisted development - using AI tools hands-on across design, coding, testing, and review to raise the bar on both speed and quality

Were looking for a Technical Program Manager who thrives in the middle of the action - someone who gets energized by complexity and turns it into clarity.
In this role, youll take complex, cross-functional engineering projects from messy beginnings to clean finishes, and drive every stage: scoping, planning, execution, delivery, and retrospective. You see AI not as a shortcut, but as a core part of how great program management gets done, and you actively design your workflows around it.
This is an AI-native environment - models ship fast, priorities shift, and what's possible changes week to week. You'll thrive here if ambiguity is fuel, not friction.
In this role, you will be responsible for:
Drive end-to-end ownership of complex, cross-functional engineering projects - from the first brainstorming session to post-launch retro
Design and supervise agentic workflows that automate status collection, risk surfacing, dependency tracking, and comms - so you operate at a higher level, not just faster
Build and manage AI-assisted program workflows that reduce coordination overhead and improve program visibility at scale
Spot bottlenecks before they become fires, and personally drive them to resolution
Map and manage cross-team dependencies so nothing blindsides anyone
Build and track key metrics that give real visibility into how engineering is performing
Apply sound judgment on escalations, stakeholder reads, and cross-team trust - the things AI surfaces but cant resolve
Identify opportunities for collaboration and innovation across teams - connecting dots others miss
Constantly communicate progress and status to stakeholders and management

We're hiring a Technical Enablement Specialist to own the rollout and adoption of AI and engineering, product and design enablement across our Product-Technology org. This is a sole-function, high-impact role - you will be the person who takes approved strategy and turns it into real execution, visible adoption, and measurable outcomes. This role reports directly to the Director of Product-Engineering Operations.
If you are a get-it-done person who loves working with people, knows how to drive change without heavy process, and is excited about where AI is taking software development - this role was written for you.
About the Role:
Lead AI adoption across Product-Technology - own the rollout of AI tools, agents, and AI-first practices; identify blockers and drive follow-up actions to move toward higher AI-generated code
Drive Agentic SDLC adoption - translate approved solutions and guidelines from Leadership into practical, consistent rollouts, including the POC framework and experimentation guidelines
Build scalable enablement programs - use AI to design and produce learning assets, workshops, and self-serve resources that keep pace with a fast-moving engineering org
Own knowledge management - maintain Confluence as the single source of truth for AI and engineering enablement; close content gaps with documentation, playbooks, and best practices
Foster a culture of continuous learning - coordinate the Engineering Forum, Engineering Guild, Product Guild, and AI community channels; identify opportunities for growth and keep the org current on AI tooling and industry trends
Partner with leadership and measure impact - collaborate with Product-Technology leadership to anticipate needs, define success metrics, and continuously improve programs based on data and feedback

Were looking for an experienced Full Stack Team Leader to lead the engineering team behind our Customer Portal-the central platform used by every customer across all of our products. This role reports directly to the VP R&D and combines technical leadership with product ownership, cross-functional collaboration, and execution.

As the engineering leader of the Customer Portal, youll shape one of the companys most strategic products, ensuring customers enjoy a seamless experience throughout their entire journey with us. Youll lead a talented team, drive technical excellence, champion AI adoption, and collaborate closely with stakeholders across Product, Marketing, Customer Success, Support, Sales, and Design to deliver customer-facing capabilities with direct business impact.

Were looking for someone who doesnt wait for direction. You naturally identify opportunities, challenge the status quo, and drive initiatives from idea to execution. You inspire your team through technical leadership, raise the engineering bar, and continuously look for better ways to build products and develop people.

What Youll Do
Lead, mentor, and grow a team of Full Stack Engineers, fostering a culture of ownership, accountability, innovation, and continuous improvement.
Own the technical execution and delivery of the Customer Portal roadmap, serving customers across all our products.
Partner closely with Product Management and business stakeholders to translate strategic objectives into scalable technical solutions.
Collaborate daily with Product, Marketing, Customer Success, Support, Sales, and Design to deliver an outstanding customer experience.
Lead architectural decisions, ensuring the platform remains scalable, secure, maintainable, and ready for future growth.
Drive engineering excellence by establishing high standards for code quality, testing, observability, performance, reliability, and operational excellence.
Champion AI-first engineering practices by driving adoption of AI tools and workflows that improve developer productivity, code quality, and delivery velocity.
Proactively identify opportunities to improve the product, engineering processes, and team effectiveness. Bring ideas, challenge existing approaches, and lead meaningful technical and organizational improvements.
Lead planning, prioritization, estimation, and execution while balancing business priorities with technical investments.
Remove blockers, manage technical risks, and create an environment where the team can consistently deliver high-quality outcomes.
Stay hands-on when needed, contributing to architecture, design, code reviews, and implementation of complex features.