Ai Technical Lead (genai / Llm / Rag)Job Title: AI Technical Lead (GenAI / LLM / RAG)
Location: Hyderabad (Hybrid)
Experience: 712 Years
Role Type: Individual Contributor (Hands-on)
Reporting To: CTOAbout the Role
We are building next-generation AI capabilities for a global, data-driven B2B SaaS platform used by large enterprise customers. We are looking for a hands-on AI Technical Lead who will work closely with the CTO to architect, build, and deploy production-grade GenAI systems.
This is a deep technical role, not a people management position. You will own AI architecture, implementation, and delivery of real-world AI features used at scale.Key Responsibilities
AI Architecture & GenAI Systems
Architect, build, and deploy LLM and RAG-based systems for enterprise SaaS products
Design end-to-end RAG pipelines (document chunking, embeddings, vector databases, ranking, evaluation)
Develop agentic AI workflows for multi-step automation and intelligent decision-making
Optimize AI systems for scalability, latency, cost, and accuracy
Engineering & Collaboration
Partner with AI Engineers, Product Managers, and the CTO to translate business requirements into robust AI solutions
Define best practices for LLM orchestration, evaluation, monitoring, and debugging
Ensure production-quality code and system reliability
MLOps & Production Readiness
Implement observability, monitoring, and evaluation for AI systems
Work with DevOps and Data Engineering teams to deploy scalable AI pipelines
Contribute to governance, documentation, and reproducibility standards
Security & Compliance
Ensure AI implementations follow best practices for data security, PII handling, and prompt safety
Support enterprise compliance requirements such as SOC 2 and GDPRRequired Skills & Experience
Must Have
7+ years of experience in AI/ML engineering
3+ years of hands-on experience building LLM / NLP / RAG systems in production
Proven experience delivering AI features used by real users in a SaaS or enterprise environment
Strong proficiency in Python and ML frameworks (PyTorch / TensorFlow / scikit-learn)
Experience with vector databases: Pinecone, Chroma, FAISS, Weaviate
Hands-on experience with LangChain, LlamaIndex, or similar GenAI frameworks
Experience deploying AI systems on AWS, GCP, or Azure
Solid understanding of MLOps, model evaluation, and continuous delivery
Good to Have
Experience with agentic AI frameworks (CrewAI, AutoGen, tool-based agents)
Experience integrating external APIs (Search, Crawlers, OCR, third-party data sources)
Background in enterprise SaaS or data-intensive platforms

Keyskills: ai Aiml rag Vector Database Natural Language Processing Retrieval Augmented Generation llm Ml Python
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