Lead Research Engineer in AI and Code Technology
4 days ago
A rapidly evolving and highly technical AI company is seeking a Lead Research Engineer to join an innovative and high-performing team focused on developing the next generation of agentic LLM systems specifically for software engineering. This is your chance to be at the cutting edge of AI, contributing to the design and evaluation of models that comprehend, generate, and reason about intricate codebases.
We're looking for an individual with a strong passion for AI in coding, a relentless curiosity about LLM behavior, and a drive to advance the capabilities of autonomous software engineering.
What You'll Contribute
- Design and implement extensive LLM evaluations, benchmarks, and experiments tailored to code comprehension and generation tasks.
- Create tools, datasets, and research frameworks that assess LLM reasoning, reliability, grounding, and reducing hallucinations.
- Work hand-in-hand with product and engineering teams to enhance model performance in real-world developer workflows.
- Engage with leading LLM models from various providers to analyze performance, provide organized feedback, and influence improvements in accuracy and reliability.
- Prototype innovative features for autonomous systems, focusing on retrieval, planning, debugging, and automated coding tasks.
- Participate in model fine-tuning and alignment efforts, including pipelines for SFT, LoRA, DPO, or RLHF.
- Develop production-grade research tools and evaluation pipelines scalable to actual engineering environments.
Your Qualifications
- 3+ years of experience in AI/ML engineering, research engineering, or related fields.
- Solid coding skills, with proficiency in production settings (Python preferred).
- Direct experience with LLMs, whether through training, fine-tuning, benchmarking, or evaluation.
- Familiarity with transformer architectures, retrieval-augmented generation (RAG), or reasoning-focused LLM workflows.
- A deep passion for code generation, AI developer tools, or program synthesis through professional or personal projects.
- Strong analytical skills to assess model behavior, identify failure points, and ensure reliability.
- A collaborative spirit thriving in a fast-paced environment with a perspective of end-to-end ownership.
Additional Skills (Bonus Points)
- Experience with AI systems related to code, including program synthesis, automated debugging, static analysis, or code search.
- Previous experience with agentic or multi-step reasoning systems.
- Contributions to evaluation frameworks, benchmarks, or open-source model software.
- Knowledge in compilers, programming languages, distributed systems, or developer tools.
- Research experience at prestigious universities, research labs, or advanced ML teams.
Why This Role Stands Out
- Work directly with cutting-edge LLMs and agentic technologies.
- Shape the future of an emerging AI product with genuine real-world implications.
- Address some of the most challenging issues in AI today: evaluation, grounding, reasoning, and autonomous coding.
- Join an elite team with profound expertise in LLMs, distributed systems, and developer productivity tools.
- Experience significant opportunities for ownership, impact, and career advancement.
If you're passionate about AI in software development, enjoy tackling complex technical challenges, and seek a role at the forefront of LLM research, we would be thrilled to hear from you.
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