Senior AI Engineer (Engineering Productivity)

We're looking for a Senior AI Engineer to join our Engineering Productivity team, focused on leveraging AI/LLM technologies to fundamentally improve how our engineers build, test, deploy, and operate software. You'll design and implement AI-powered tools and systems that measurably accelerate development velocity across the organization. What You'll Do: • Design and build AI-powered developer tools (code generation, automated review, intelligent testing) that improve engineering efficiency across the company • Develop and deploy LLM-based applications (RAG, AI Agents, code understanding) to streamline internal workflows - from coding to deployment to incident response • Build and optimize AI-assisted CI/CD pipelines, including intelligent test selection, build failure prediction, and deployment risk assessment • Create internal knowledge retrieval systems (RAG-based) enabling engineers to quickly search and understand codebases, documentation, and architectural decisions • Evaluate, fine-tune, and integrate state-of-the-art LLMs (open-source and commercial) for engineering use cases • Define metrics and conduct A/B tests to measure the impact of AI tools on developer productivity • Collaborate closely with engineering teams across the organization to identify high-impact automation opportunities What We're Looking For: • 5+ years of software engineering experience, with at least 2 years focused on AI/ML engineering • Strong hands-on experience with LLMs - including prompt engineering, RAG, fine-tuning (SFT/RLHF), and AI Agent frameworks (LangChain, LangGraph, CrewAI, or similar) • Solid programming skills in Python; experience with Go, Java, or TypeScript is a plus • Experience building production-grade AI applications - not just prototypes • Familiarity with code analysis tools and techniques (AST parsing, static analysis, LSP) is highly preferred • Understanding of modern CI/CD systems and DevOps practices • Strong system design skills - ability to architect scalable, reliable services • Excellent problem-solving skills with a pragmatic, results-oriented mindset Nice to Have: • Experience building AI coding assistants or developer productivity tools • Experience with code embedding models and code search systems • Contributions to open-source AI/ML projects • Publications in relevant areas (NLP, code intelligence, SE + AI) • Experience in the Web3/crypto industry Originally posted on Himalayas