AIFA Labs - Lead Agentic AI Developer

Role: Senior/ Lead AI/ML Engineer Agentic AI & RAG SystemsExperience Required: 5+ YearsLocation: Hyderabad (On-Site) (Hybrid after 3 Months / 3 Days WFO - 2 Days WFH)Type: Full-timeMust-Have Skills:- Agentic AI Systems & Multi-Agent Architectures- Generative AI (LLMs, Prompt Engineering, Agents)- LangChain, LangGraph- Retrieval-Augmented Generation (RAG)- Graph RAG / Knowledge Graph-based Retrieval- Strong Advanced Python Development- FastAPI for AI service deployment- AI/LLM Platforms and Modern AI ToolingJob Description:We are seeking highly experienced Senior AI/ML Engineers (6+ years) to design, build, and deploy next-generation Agentic AI and Generative AI solutions. The ideal candidate will have strong hands-on expertise in LLM application development, particularly using LangChain, LangGraph, RAG, and Graph RAG frameworks, along with advanced Python engineering skills. This role is suited for professionals who have built real-world AI products and can drive innovation in fast-paced enterprise environments.Key Responsibilities:- Design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous AI systems.- Build and optimize RAG pipelines, including advanced implementations such as Graph RAG for enterprise knowledge retrieval.- Develop LLM-powered applications using: LangChain / LangGraph / Vector databases and retrieval frameworks.- Rapidly prototype and deploy AI services using FastAPI and modern Python frameworks.- Work with cutting-edge AI ecosystems including: OpenAI APIs / Hugging Face Transformers / PyTorch.- Collaborate with cross-functional teams to translate business needs into AI-driven technical solutions.- Lead solution development for client-facing AI transformation initiatives.- Mentor junior engineers and contribute to building a strong AI innovation culture.- Stay current with the latest advancements in Agentic AI, LLM orchestration, and retrieval architectures.Key Skills & Qualifications:- 5+ years of professional experience in AI/ML engineering (candidates below this experience level will not be considered).- Strong proficiency in Python (advanced level required).Proven expertise in:- LangChain- LangGraph- RAG implementations- Graph RAG / Knowledge Graph-based AI systems- Solid foundation in Machine Learning, Deep Learning, and NLP.- Experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.- Strong product-building mindset with the ability to deliver production-grade AI systems.- Comfortable working in environments requiring fast execution, experimentation, and continuous learning.- Client-facing experience and technical leadership are strong pluses.Why This Role?:- Work on cutting-edge Agentic AI + Enterprise GenAI systems.- Opportunity to build scalable, real-world AI products using LangGraph + Graph RAG.- High-impact role with strong ownership and innovation culture. (ref:hirist.tech)