Senior AI Engineer Generative & Agentic AI
Location: India (Remote/Hybrid)
Experience: 8+ years
About the Company
Bay6.ai is an enterprise AI solutions company that builds purpose-driven software for automation, insights, and customer engagement. We combine AI/ML, APIs, cloud-native architectures, and intelligent automation to deliver scalable enterprise solutions across Financial Services, Insurance, Healthcare, Retail & E-commerce, Education, and Travel & Hospitality.
At Bay6.ai, you will join a visionary team operating in a mature technology environment with high expectations, rapid iteration cycles, and impactful customer-facing systems. Our teams focus on building production-grade AI platforms and next-generation intelligent applications powered by Generative AI and autonomous agents.
Role Overview
We are looking for a Senior AI Engineer with deep expertise in Generative AI and Agentic AI systems to design and build intelligent enterprise applications.
In this role, you will architect AI-driven workflows, autonomous agents, and LLM-powered systems that can reason, plan, and execute complex tasks. You will work on cutting-edge frameworks such as LangChain and LangGraph to build multi-agent architectures and scalable AI orchestration pipelines.
This role requires strong engineering capability to move beyond prototypes and build production-grade AI systems that integrate with enterprise platforms.
Key Responsibilities
- Design and build Generative AI and Agentic AI solutions for enterprise automation and decision intelligence.
- Architect and implement multi-agent systems using LangGraph for complex workflow orchestration.
- Develop LLM-powered applications including copilots, AI assistants, knowledge agents, and automation agents.
- Implement RAG (Retrieval Augmented Generation) pipelines using vector databases and enterprise data sources.
- Build intelligent AI workflows integrating APIs, enterprise systems, and external services.
- Develop scalable AI services using Python, microservices architecture, and cloud-native technologies.
- Optimize AI agents for reasoning, planning, memory management, and tool usage.
- Deploy and manage models using MLOps and LLMOps best practices including monitoring, evaluation, and guardrails.
- Work closely with product managers and solution architects to translate business use cases into AI-driven solutions.
- Work closely with product managers and solution architects to translate business use cases into AI-driven solutions.
- Contribute to the design of enterprise AI platforms and reusable AI components.
Required Skills & Experience
- 510 years of software engineering or AI/ML engineering experience.
- Strong programming expertise in Python and modern backend frameworks.
- Hands-on experience building Generative AI applications using LLMs (OpenAI, Claude, Llama, etc.).
- Experience designing agent-based architectures and autonomous AI systems.
- Strong hands-on experience with LangChain and LangGraph.
- Experience implementing RAG pipelines, embeddings, and vector search (Pinecone, Weaviate, FAISS, etc.).
- Experience integrating LLM agents with external tools, APIs, and enterprise workflows.
- Experience deploying AI systems on cloud platforms (AWS, Azure, or GCP).
- Knowledge of Docker, Kubernetes, and microservices architectures.
- Experience implementing evaluation frameworks, guardrails, and monitoring for LLM applications.
