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# full stack engineer

- **Company:** Atlas
- **Location:** United States
- **Experience:** Expert
- **Salary:** $180,000 - $220,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Computer Vision, Code Review, Data Structures, Data Stores, Distributed Systems, Python (Programming Language), PostgreSQL, Software Architecture, Redis, Software Engineering, TypeScript, Web Application Frameworks, Data Logging, ReactJS, Claude Code, Prompt Engineering, Model Validation, Backend, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://startup.jobs/senior-staff-ml-engineer-atlas-agents-team-boston-dynamics-inc-10571706

## About the Role

* 5+ years of professional software engineering experience with a strong full stack background spanning backend and LLM integrations.
 * Demonstrated ability to design and integrate APIs and third-party services in complex distributed system environments.
 * Strong fundamentals in data structures, algorithms, distributed systems, and software architecture.
 * Proficiency in modern backend technologies (e.g., TypeScript, Python) and data stores (e.g. Postgres, Redis).
 * Demonstrated ability to ship reliable, maintainable, and well-tested software while utilizing agentic coding tools like Claude Code.
 * Comfort working in fast-moving, ambiguous environments where you're expected to own problems end to end.

Preferred

 * Experience with vision language models (VLMs) backed agentic systems, including context engineering, tool-use, and model selection or fine-tuning. For example, building a coding agent.
 * Experience building model and harness benchmarks (gym environments, datasets, tooling, leaderboards) for VLMs and/or agents.
 * Experience working with robotics systems, computer vision models, and real-time data pipelines.
 * Proficiency in modern frontend frameworks (e.g., React).
 * Familiarity with observability platforms (e.g. OpenTelemetry).

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position.

## Description

In this role, you will work on every layer of the agentic system that powers Atlas - from harness design to context engineering and agent benchmarking. You will partner closely with ML engineers, product teams, and interaction designers to develop Atlas' planning and reasoning system, and to integrate this system with the right tools, data, and prompts., * Work directly on Atlas' agentic capabilities, utilizing VLMs, tool calls, context engineering, and memory to support multiple real-world applications.

 * Design and implement observability, logging, and tracing infrastructure to provide visibility into system behavior and performance.
 * Develop and utilize evaluation and benchmarks to measure reasoning quality, safety, reliability, and generalization across tasks and environments.
 * Develop the operator dashboards, task configuration UIs, and diagnostic interfaces to help users build and deploy Atlas applications.
 * Collaborate cross-functionally with behavior, controls and product experts to ship end-to-end capabilities.
 * Engage with customers and internal stakeholders to understand real-world use cases and ensure solutions are practical, reliable, and impactful.
 * Contribute to a strong engineering culture through code reviews, testing, documentation, and thoughtful system design.