Role: Technical Architect – Agentic AI & Software Development
Experience Level: 8 - 15 Years
Work Location: Bangalore
What You'll Do
You will be working as a Solution Lead designing and delivering Agentic AI platforms and applications that are running across multiple geographies, helping organizations achieve their business goals with the use of full stack technologies, cloud services, DevOps, and cutting-edge AI/ML capabilities. We are building scalable Agentic AI platforms, powering 50+ enterprise grade agent use cases. This role requires end-to-end ownership across the entire Agent Development Lifecycle (ADLC) - from requirements gathering to production deployment and beyond.
Role & Responsibilities
Design and architect advanced RAG pipelines, Vector Databases, and multi-agent orchestration systems with upstream/downstream integrations
Lead end-to-end development of scalable full-stack applications including backend services, APIs, and intuitive UI components for agent configuration
Support and Drive robust DevOps practices ensuring production-grade deployments with comprehensive monitoring, auto-scaling, and fault tolerance
Own end-to-end delivery from PoC to production, mentor engineers, and collaborate with cross-functional teams while maintaining high-quality documentation
Skill Requirements - Must Have
Agentic AI & LLM Technologies (Primary Skills)
Agentic Frameworks & Orchestration: Expert in building autonomous systems and multi-agent workflows using frameworks like LangChain, CrewAI, or AutoGen, including custom tool-calling and event-driven architectures.
Advanced RAG & Vector Data: Proficiency in architecting end-to-end RAG pipelines and managing Vector Databases (Pinecone, Milvus) through optimized chunking, embedding, and semantic search indexing.
LLM Integration & Governance: Proven experience deploying enterprise-grade models (OpenAI, Vertex AI) combined with rigorous prompt engineering and evaluation frameworks for safety and hallucination detec