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Job details:
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.
(ref:hirist.tech)
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