Senior AI Tech Lead
RBM Software · Pune · onsite · Posted 61d ago
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About this role
Job Title: Senior AI Engineer / AI Tech Lead (GenAI /
Agentic AI Focus)
Location: Pune (WFO)
Experience: 5+ Years
Employment Type: Full-Time
Role Overview
We are looking for a highly skilled AI Engineer / Tech Lead with 5+ years of experience and
strong expertise in Generative AI and Agentic AI systems.
This is a hands-on, AI-first role focused on building LLM-powered applications, intelligent
agents, and enterprise AI solutions. You will contribute to architecture, development, and
deployment of cutting-edge AI systems while collaborating with cross-functional teams.
Key Responsibilities
AI/GenAI Development
• Design and develop LLM-based applications using modern AI frameworks
• Implement:
o Prompt engineering
o RAG (Retrieval-Augmented Generation)
o Context-aware AI systems
• Work with tools like:
o LangChain / LlamaIndex
o OpenAI / open-source LLMs
Agentic AI Systems
• Build and manage AI agents and multi-agent workflows
• Develop autonomous systems for:
o Conversational AI
o AI copilots
o Workflow automation
• Work on frameworks like:
o AutoGen / CrewAI / Semantic Kernel
AI Engineering & Deployment
• Deploy AI solutions into production environments
• Build pipelines with:
o CI/CD for AI applications
o LLMOps / MLOps practices
• Ensure scalability using:
o Docker & Kubernetes
o API-based model integration
Cloud & Data Integration
• Work with cloud platforms:
o AWS / GCP / Azure
• Integrate AI with:
o Vector databases (FAISS, Pinecone, Weaviate)
o Enterprise data systems
Collaboration & Ownership
• Work closely with product, business, and engineering teams
• Take ownership of end-to-end AI solution delivery
• Mentor junior engineers (if applicable).
Mandatory Skills
• 5+ years of experience in AI/ML with strong hands-on coding
• Proven experience in:
o Generative AI / LLMs
o RAG architectures
o Agentic AI frameworks
• Strong programming skills in Python
• Hands-on with:
o LangChain / LlamaIndex or similar
o Vector databases & embeddings
• Experience in deploying AI applications in production
• Exposure to cloud platforms (AWS/GCP/Azure)
Good to Have
• Experience in LLM fine-tuning (LoRA, PEFT)
• Knowledge of deep learning frameworks (PyTorch/TensorFlow)
• Exposure to real-time AI systems
• Understanding of knowledge graphs
Who Can Fit This Role
• Senior AI Engineers ready to step into a Tech Lead role
• Candidates with strong hands-on GenAI + system design experience
• Profiles with product-based or enterprise AI implementation exposure
Why Join
• Work on next-gen AI (GenAI + Agentic AI)
• Opportunity to own and build AI systems end-to-end
• Fast-paced, innovation-driven environment
• Strong growth into Tech Lead / AI Architect roles
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