NxtWave - AI Technical Lead - Generative AI in Bangalore, भारत

Role : Technical Lead - AI EngineeringCompany : NxtWaveLocation : BengaluruWork Mode : On-site, five days a weekRole 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 https://jobeax.com/link/nyvIPyp1073tShWe 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 https://jobeax.com/link/wJIgo45kO3tINlTo 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 https://jobeax.com/link/Cexs453KRiH2S1rJ 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)