Agentic AI Architecture & Development

Location: Bangalore (KA) | Employment Type: Full Time - 40 hours per week | Job Level: T4 | Work Preference: Onsite at work location address | Job Code: 241829

Job Description:

About the Role:

We are seeking an Agentic AI Architecture & Development with 6+ years of proven software engineering experience with significant hands-on AI/ML work in enterprise environments.

Requirements:

Strong proficiency in Python with hands-on experience building production AI applications
Demonstrated experience with LangGraph or similar agentic AI frameworks (LangChain, CrewAI, AutoGen) for production systems
Hands-on experience with LLM API integration (OpenAI, Azure OpenAI, Anthropic) and prompt engineering
Experience designing and implementing RAG systems including embedding models, vector databases, and retrieval strategies
Solid understanding of multi-agent system design, agent orchestration, persistent state management, and memory patterns
Experience with Python web frameworks (FastAPI) and distributed task processing (Celery) for production APIs
Experience with event-driven microservices and real-time streaming patterns
Proficiency with AI-powered development tools (Cursor AI, GitHub Copilot, or similar) for AI-augmented software development across the SDLC
Proficiency with Git, CI/CD pipelines, and cloud platforms (preferably Azure)

Preferred Qualifications:

Experience with vector databases (Qdrant, Pinecone, Weaviate, ChromaDB)
Expertise with Databricks Genie or similar natural language to data query platforms
Experience with AWS Bedrock AgentCore for managed agent runtime and multi-cloud agent deployment
Knowledge of model fine-tuning, quantization, and serving optimization
Experience with multi-tenant architecture patterns and enterprise-scale AI systems
Familarity with containerization (Docker, Kubernetes) and event-driven autoscaling (KEDA)
Understanding of AI safety, responsible AI principles, and enterprise governance requirements

Technical Skills:

Primary Framework: LangGraph (multi-agent orchestration with persistent state)
Additional Frameworks: LangChain, CrewAI, AutoGen
LLM Providers: OpenAI (GPT-5.X), Azure OpenAI, Anthropic (Claude), enterprise LLM services
Techniques: RAG, prompt engineering, chain-of-thought, function calling, structured outputs
Data Intelligence: Databricks Genie (natural language to SQL)
Vector Databases: Qdrant, Pinecone, Weaviate, ChromaDB
Multi-Cloud: AWS Bedrock AgentCore (managed agent runtime)
Patterns: Multi-agent orchestration, tool use, persistent state, memory management, agent evaluation
Bachelor’s degree in computer science, Engineering, AI/ML, or a related technical field, or equivalent professional experience
Strong communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders
Strong knowledge of Agile methodologies and principles
Demonstrated passion for staying current with the rapidly evolving AI landscape