GoDigit - Technical Lead - AI Engineering

Technical Lead - AI Engineering Company : Go Digit General Insurance Limited Location : Bengaluru Work Mode : On-site, five days a week Role Overview : We are seeking a hands-on Technical Lead to guide AI engineers and deliver production-grade AI solutions. The role combines technical leadership, active involvement in development, code reviews, deployment, mentoring, and production support. Key Responsibilities : - Lead AI initiatives from requirement analysis through production deployment. - Build scalable AI applications, APIs, microservices, and reusable components. - Develop solutions using GenAI, LLMs, RAG, Agentic AI, MCP, Computer Vision, Voice AI, and Document Intelligence. - Plan and track engineering activities, resolve technical blockers, and ensure timely delivery. - Conduct technical and code reviews while maintaining engineering standards. - Mentor engineers and support sprint planning, testing, releases, and production issues. - Ensure solutions are secure, reliable, maintainable, observable, and scalable. - Drive the adoption of reusable frameworks, tools, and development practices. Required Experience : - 6+ years of experience in software engineering, AI/ML engineering, GenAI, or platform development. - Proven experience delivering production-grade AI applications. - Strong knowledge of LLMs, RAG, Agentic AI, MCP, and AI orchestration frameworks. - Proficiency in Python, APIs, microservices, distributed systems, and SQL. - Experience with FastAPI, LangChain, LangGraph, Semantic Kernel, or similar frameworks. - Familiarity with Docker, Kubernetes, CI/CD, MLflow, and observability tools. - Experience leading engineers, reviewing code, and mentoring team members. - Strong problem-solving, technical communication, and stakeholder-management skills. Preferred Experience : - Experience leading end-to-end delivery of enterprise AI solutions. - Understanding of LLM evaluation, prompt engineering, guardrails, and responsible AI practices. - Experience with MLOps/LLMOps, model monitoring, versioning, and automated deployment. - Knowledge of AI security, data privacy, governance, and regulatory compliance. - Experience optimizing AI solutions for accuracy, latency, scalability, and cost. - Ability to evaluate emerging AI technologies and guide their practical adoption. - Experience establishing reusable engineering standards and best practices.