Jobs → Engineering → AI Engineering Lead

About the Role We are looking for an AI Engineering Lead to join Coditude. This role involves architecting, building, and leading production-grade AI solutions for client-specific needs. Key Responsibilities • Lead fine-tuning (LoRA, QLoRA, domain adaptation) and evaluation of open-weights and proprietary models • Design multi-agent architectures using Model Context Protocol, LangGraph, AutoGen, n8n, and custom frameworks • Build high-throughput pipelines for structured and unstructured data, vector indexing, and training/inference datasets • Implement automated evaluation, QA guardrails, benchmarking, and ModelOps telemetry • Translate business requirements into clear technical scope and business-aligned AI architectures • Evaluate and integrate emerging AI frameworks, vector databases, and infrastructure • Guide junior and mid-level engineers, run rigorous code reviews, and drive engineering best practices • Own the safety, performance, reliability, privacy, and compliance of every deliverable Requirements • 5+ years of software engineering experience, with 2–3+ years hands-on building, fine-tuning, and deploying production AI/LLM solutions • Must-have: Proven experience in fine-tuning, dataset preparation, hyperparameter tuning, and evaluating local open-weights vs. API-based models • Experience building multi-agent systems, agentic tool-use pipelines, and MCP integrations, plus low-code orchestration tools like n8n • Solid background in ETL design, data preprocessing, vector database ingestion, and RAG data flows • CI/CD for AI workflows, automated LLM evaluation suites, regression testing, and observability tools like Langfuse • Deep knowledge of the modern AI stack: Python, PyTorch, Hugging Face, LangChain/LlamaIndex, FastAPI, vector databases, Docker, Ollama/local inference • Strong client-facing communication and a track record of mentoring engineering pods to delivery