Senior AI Lead Engineer

About the Role

Regilient AI is building the world's first agentic regulatory compliance platform — software that autonomously monitors regulations, engages suppliers, processes compliance data, and generates declarations without manual intervention. As our Senior AI Lead Engineer, you will architect and own the AI engineering layer of this platform. You will lead a team of 1 junior AI engineer and 4 AI interns, reporting directly to the Director of Engineering and working closely with the CTO on the agentic product roadmap. This is a founding AI role — you will set the architecture, standards, and culture for everything AI at Regilient.What You'll Own:Architect the agentic AI layer of the Regilient platform — multi-agent orchestration, LLM pipelines, and retrieval-augmented generation (RAG) for regulatory contentDesign and ship the supplier engagement agent — automated outreach, data collection, and response parsing at scale across 30,000+ suppliersBuild the regulatory change monitoring agent — ingesting, classifying, and alerting on regulatory updates across 20+ global frameworksOwn AI model selection, evaluation, fine-tuning strategy, and cost optimisation across the platformDefine AI engineering standards — prompt engineering, evals framework, model versioning, and safety guardrailsLead, mentor, and grow the AI engineering team (1 junior AI engineer + 4 AI interns) — set project scopes, review work, and build their craftCollaborate with the Product Manager and CTO to translate the agentic roadmap into engineering milestonesEstablish observability for AI systems — latency, accuracy, hallucination rates, and cost per inference

Requirements

Must Have:5+ years of software engineering; 2+ years in applied AI/ML in productionHands-on LLM engineering — OpenAI, Anthropic, Gemini, or open-source models in productionAgentic AI frameworks — LangChain, LlamaIndex, AutoGen, CrewAI, or equivalentRAG pipeline design and implementation at scalePython proficiency (FastAPI or similar); comfort with async and distributed systemsPrompt engineering and LLM evaluation methodologyExperience leading or mentoring engineersNice to Have:Domain experience in compliance, legal tech, or regulatory dataFine-tuning experience (LoRA, RLHF, or instruction tuning)Vector database expertise (Pinecone, Weaviate, pgvector)Multi-modal AI (document parsing, OCR, structured extraction)AI safety and guardrails engineeringMLOps — model versioning, A/B testing, deployment pipelinesPrior founding-team or 0-to-1 AI product experienceWhat Success Looks Like (First 90 Days):AI engineering architecture document published and reviewed with CTO and Director of EngineeringEvals framework defined and running on at least one production AI featureIntern sprint scopes defined — each intern has a clear agentic AI prototype to shipFirst agentic supplier engagement feature shipped to stagingLLM cost tracking dashboard live — inference cost per feature visible to the team

What We Offer

Founding AI role — you set the architecture, culture, and standards for AI at RegilientDirect collaboration with the CTO and Director of Engineering on product strategyA genuinely novel technical problem — agentic compliance AI is an unsolved spaceCompetitive salary, ESOPs, and flexible working arrangementsA team and mission that will look very compelling on your career story