About the Role
What if your software engineering expertise could define how the next generation of AI writes, debugs, and ships code on its own? We're looking for Senior Software Engineers to work at the frontier of agentic AI — building, evaluating, and improving autonomous coding systems that can reason through complex problems, execute multi-step plans, and produce production-quality software with minimal human intervention.
This is where deep engineering skill meets the most transformative technology of our time. You'll work on real problems that push the boundaries of what AI agents can do — and your code, judgment, and architectural thinking will directly shape how these systems evolve.
This is a fully remote, flexible contract role. If you're a senior engineer who's excited about agentic AI and wants to work on problems that genuinely matter, we want to hear from you.
What You'll Do
- Design, build, and refine agentic coding workflows — systems where AI autonomously plans, writes, tests, and iterates on code
- Evaluate AI-generated code for correctness, efficiency, security, and adherence to best practices
- Create complex, real-world coding challenges and benchmarks to stress-test agentic AI capabilities
- Provide expert-level feedback on AI reasoning chains, tool usage, and code output quality
- Identify failure modes, edge cases, and areas where autonomous agents break down
- Develop and improve evaluation frameworks, rubrics, and testing harnesses for agentic systems
- Collaborate asynchronously with researchers and engineers working on large language models and AI agents
- Work independently on task-based assignments at your own pace and on your own schedule
Who You Are
- 5+ years of professional software engineering experience — you've built, shipped, and maintained real systems
- Proficient in one or more major languages: Python, JavaScript/TypeScript, Java, C++, Go, or Rust
- Strong understanding of software architecture, design patterns, and system design principles
- Comfortable reading, reviewing, and debugging code you didn't write — across diverse codebases and styles
- Deep familiarity with modern development workflows: version control, CI/CD, testing frameworks, and code review
- Excellent problem-solving and analytical thinking — you can reason through ambiguous, multi-step technical challenges
- Clear, precise technical communicator who can articulate why code is good, bad, or broken
- Self-directed and reliable when working independently without close supervision
- Genuinely curious about AI, LLMs, and the future of autonomous software development
Nice to Have
- Experience with AI/ML systems, prompt engineering, or LLM-based tooling
- Familiarity with agentic frameworks (e.g., LangChain, AutoGPT, CrewAI, OpenAI function calling)
- Background in developer tools, compilers, static analysis, or code generation
- Experience evaluating or training AI models — RLHF, preference labeling, or similar workflows
- Contributions to open-source projects or a strong public engineering portfolio
- Knowledge of multiple programming paradigms and languages
Why Join
- Work at the absolute frontier of agentic AI — one of the most exciting areas in technology today
- Collaborate on cutting-edge projects alongside leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the depth and challenge of meaningful, high-impact engineering work
- Your expertise directly shapes how AI agents write software — influencing tools used by millions of developers
- Ongoing learning exposure to state-of-the-art large language models and autonomous systems
- Potential for long-term engagement and contract extension as projects scale
How to Pass the AI Interview
Interviews for roles like these are commonly run by an AI interviewer, so you will likely be talking to software rather than a person. An AI interviewer does not react the way a human does: it takes your answers literally, gives few cues, and follows up on anything vague. Clear, specific, well-paced answers win. Name the concrete thing you built, the numbers, the trade-off you made and what you would do differently.
For this role, expect to review code you did not write, to explain how you would break an autonomous coding agent, and to reason aloud through ambiguous, multi-step problems.
Read the invitation instructions carefully and follow them during the interview: the format, timing, tools you may use and any rules on what is allowed.
The best preparation is rehearsing out loud before the real thing. InterviewAce, our interview-prep product, runs mock interviews with an AI interviewer, lets you practise follow-up questions about your own projects and gives you feedback before the real one.
InterviewAce guides to read first
- What to expect from an AI interviewer How an AI interviewer asks questions, follows up and scores answers.
- Technical interview prep for software engineers A practical plan for coding, system design and technical questions.
- Using AI tools to practise job interviews How to rehearse with AI mock interviews and get useful feedback.
- Remote interview tips for video calls Camera, audio, lighting and pacing for interviews over video.
- Top 5 mistakes in technical interviews The most common slip-ups and how to avoid them.
- How large language models work Tokens, attention and how models like ChatGPT work, useful for AI roles.
- Behavioral questions and the STAR method Structure your stories so they land with any interviewer.
Free tools for your application
Polish your application with these free tools from InterviewAce.
- All free tools
- Resume builder Build a clean, ATS-friendly resume.
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From Autonix Lab
- InterviewAce by Autonix Lab Our interview-prep product, plus where it is featured.
- What Are AI Agents? A plain-English primer on AI agents.
- AI Agent Loops Explained How autonomous, goal-driven coding loops work.
- Multi-Agent Systems Agents that work as a team.
- Open-Source AI Agent Projects Tools worth knowing for agentic work.
This is general preparation. We do not run these interviews and cannot say exactly how they will be conducted.
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