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As a Research Engineer, you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:
Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications.
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions.
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically.
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas.
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development.

Forward Deployed Engineering sits at the frontier of that work. We embed with our most strategic enterprise customers, running on-prem, air-gapped, and heavily regulated environments, and own the technical arc from discovery through production.

Your day might include designing a solution architecture for a high-impact agentic use case, debugging a production routing issue deep in our codebase, deploying a new MCP server with a customer team, or aligning with a CTO on a rollout plan; all in service of outstanding outcomes and rapid time to value for the organizations we work with.

This is a founding function. The first FDEs will define how we conducts field engineering: the standards, playbooks, and technical bar. The work is hands-on, commercially scoped, and high-leverage: youll partner closely with Product, Research, Platform, Security, and GTM, and what you learn in production directly shapes what the core team ships next. If you thrive under ambiguity, make fast and sound decisions when the stakes are high, and get energy from closing the gap between what customers hit in production and what we build next, this role is for you.

In This Role You Will
Own technical delivery across multiple deployments from first prototype to stable production, including core engineering work that unblocks strategic accounts.
Lead deep technical diagnosis and remediation in our codebase and production environments, model routing and gateway behavior, large-PR scaling, multi-pass behavior, performance and reliability issues.
Build customer-specific extensions (MCP servers, agent skills, platform integrations) that deliver immediate value and become durable product capability; upstream them into the main roadmap where appropriate.
Embed closely with customer engineering teams: serve as their senior technical counterpart for hands-on debugging, architecture reviews, and joint implementation.
Scope work, sequence delivery, and remove blockers early; make deliberate trade-offs between scope, speed, and quality to protect delivery timelines.
Partner with Product, Research, and Platform to convert account learnings and eval-driven feedback into roadmap items, specs, and prioritized engineering work.
Codify working patterns into tools, playbooks, runbooks, and reproducible benchmarks that Support and account teams can operate independently and help scale the field engineering function across the organization.

Our Applied Science group builds the intelligence behind the marketplace. We turn large volumes of unstructured data into structured understanding, and use it to connect the right people with the right work. We are a small team with an unusually large surface. We own the full path from raw data to production AI systems, and we are actively expanding what that platform can do. In this role, you will design, build and operate AI systems that run continuously in production: large volumes of unstructured data in, models and pipelines in the middle, structured signal that teams across us build on back out. The scope runs from data pipelines and retrieval infrastructure through to model quality, evaluation and cost. This is a hands on senior role, and you will help define how these systems get built here rather than inherit someone else's answer.
What am I going to do?
* Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
* Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
* Build the retrieval and serving layers that make our data usable in real time.
* Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
* Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
* Build agentic workflows that makes the whole team faster, and help set the standards others work to.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

we are looking for a Senior Full-Stack Engineer.
As a Senior FullStack Engineer, youll join our engineering team and help build the next generation of products as they evolve into intuitive, polished, and powerful experiences for some of the most sophisticated AI organizations in the world.
This is a highly impactful role for an engineer with strong frontend expertise who cares deeply about product quality and user experience, and can both build scalable systems and help lead the technical direction of the frontend. Youll work closely with exceptional engineers, researchers, and founders to turn deeply technical capabilities into user-facing products that are clear, elegant, and highly effective.
Representative Responsibilities:
Build and own full-stack product features end-to-end
Help shape the next generation of the companys products
Lead the technical direction of the frontend architecture, development standards, and engineering culture
Build polished, high-quality user experiences for highly technical users
Collaborate closely with engineers, founders, and product stakeholders on product and technical decisions
Take ownership of projects from idea to production with high autonomy and impact

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.

we are looking for a Senior DevOps Engineer.
As Senior DevOps Engineer, you will play a critical role in shaping our infrastructure, deployment pipelines, and operational foundations. This is a hands-on, high-ownership role with real influence over how the company builds, deploys, and operates its systems in production.
Youll be building infrastructure that supports work with frontier AI labs such as Google, Anthropic, and OpenAI, and meets the scale, security, and reliability standards this ecosystem requires. This includes architecting ephemeral, on-demand environments, and spinning up and tearing down multi-service deployments (VPCs, compute, serverless components, and more) as needed.
You will work closely with research, engineering, security, and leadership to design and maintain scalable infrastructure, improve system reliability, and enable fast, safe, and secure product delivery.
Key Responsibilities:
Own and evolve cloud infrastructure, with a strong focus on scalability, security, and reliability
Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows
Lead and continuously improve containerized environments (Docker, Kubernetes)
Build and maintain Infrastructure as Code and automation frameworks (e.g., Terraform)
Own production readiness: availability, monitoring, logging, alerting, and incident response
Work closely with engineering and research teams to support development, testing, and production needs
Drive improvements in system performance, reliability, and security posture
Take part in - and often lead architectural decisions and long-term infrastructure planning
Act as a key operational owner in a fast-growing startup, setting best practices and standards

We are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts.

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.

Drive excellence, code quality, and best development practices.

Provide technical direction and hands-on guidance for complex AI systems.

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.

Ensure AI solutions are safe, scalable, observable, and continuously improving.

Lead initiatives around product data analysis and experimentation.

Analyze user interactions with product features to improve accuracy, UX, and business impact.

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.

Design system architectures for AI-enabled applications at scale.

Evaluate and select technologies for AI platforms and data pipelines.

Guide the development of prompt engineering frameworks and centralized prompt management.

Ensure robust monitoring, evaluation, and feedback loops for AI outputs.

Translate product and business goals into technical roadmaps and execution plans.

Drive alignment between AI capabilities and measurable product outcomes.

We are looking for a brilliant, curious and creative Senior Full-Stack Engineer with a passion for data thats ready to take on a huge opportunity to solve tax, and save people time and money. If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.

Key responsibilities

Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people.

Work closely with the product & UX to define product requirements and execute the development plans.

Design system architectures, select/ evaluate tools.

Build cloud-native microservices.

Mentor, and grow the team, our practices, and our technology stack.

We are looking for an exceptional, driven, and technically visionary Staff Full-Stack Engineer to help shape the future of our platform and accelerate our mission to simplify taxes for everyone. Youll play a central role in designing and building scalable systems and tools that enable our teams to deliver exceptional user experiences with speed and confidence. If you're passionate about technical leadership, enjoy solving complex architectural challenges, and want to make a meaningful impact on millions of users, wed love to have you join us.

Responsibilities

Critical, cross-functional engineering initiatives from design to development and deployment, ensuring quality and scalability.

Participate in technical decision-making and knowledge sharing across multiple teams.

Collaborate with Product, UX, and other stakeholders to deliver seamless and data-driven experiences.

Evaluate and introduce new tools, technologies, and practices that raise the bar for engineering excellence.

Guide by example - service ownership, observability, and operational best practices across the engineering organization.

Promote a culture of high standards, clean code, testing, and continuous improvement.

We are looking for a team leader to lead the Data Pipeline engineering team. Our team is made up of strong, all-around players, well-experienced, highly motivated, independent, innovative, fast learners, great problem solvers, and great people to work with.

Our engineering challenges involve big data and stream processing in super high-scale environments, which keeps on increasing as the customers increase their usage and new customers join. Furthermore, we are seeking better ways to accurately analyze traffic patterns, identify attackers and attack vectors, and provide customers with improved visibility into their security posture.

You will join the R&D innovation team responsible for the Exposures product, focusing on advanced features like custom security findings, CVE scoring, and prioritization. As a Principal Full Stack Engineer, you will serve as the technical focal point, driving complex end-to-end feature development in a high-growth environment. This role involves collaborating closely with Research, Integration and Product teams to define the future of exposure management.
Responsibilities:
Lead the end-to-end technical lifecycle of new features within the Exposures product using Python, Vue.js, React, MongoDB, ClickHouse, Redis, Celery, and Docker.
Act as the technical focal point and mentor full-stack teams, conducting design reviews and providing hands-on guidance for complex engineering tasks.
Collaborate directly with Product, Integration, and Research teams to translate product requirements into scalable, high-performance code.
Drive engineering excellence and productivity by integrating advanced AI tools (Claude, Augment and more) into the development workflow and product features.

we are looking for a Senior DevEx/DevOps Engineer.
As a Senior DevEx Engineer , you will join a core team dedicated to empowering our engineering organization by streamlining the entire software development lifecycle. Operating at the intersection of DevOps and Developer Experience, you will collaborate with R&D, Product, and Security to eliminate bottlenecks, designing and delivering robust CI/CD and infrastructure solutions that directly optimize developer productivity and velocity.
Responsibilities:
Project Leadership: Lead complex infrastructure projects from initial design through implementation and delivery.
CI/CD Optimization: Design and build high-performance pipelines using GitHub Actions and TeamCity.
Infrastructure Management: Scale cloud environments using Terraform, Ansible, and IaC best practices.

we are looking for a Senior Full-Stack Engineer (Internal Apps).
The Internal Apps team supports Axonius's growth by building high-leverage platforms and tools for over 300 internal stakeholders, including developers, security, sales engineering, and post-sales teams. Functioning as an agile startup within the company, the team moves fast to eliminate fragile operational tasks and standardize how employees work across the organization. You will take complete ownership of end-to-end products built from scratch using Python, React, PostgreSQL, Redis, Kubernetes, and AWS.
Responsibilities:
Implement and own end-to-end internal platforms and features in short, agile sprints using Python, React, and cloud-native architecture.
Build automated tooling to support the entire customer lifecycle, ranging from initial POV processes to post-sales single-tenant environment management.
Write maintainable, well-tested code following test-driven development (TDD) principles to reduce operational friction and human error.
Architect and integrate AI harnesses, AI-driven automation, or agentic workflows directly into internal business platforms.

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.

Responsibilities
Lead development processes from ideation to production
Develop, maintain, and imperialize the products application layer (front end & back end)
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry