Senior AI Engineer – LLM Frameworks, Vector Databases & Automation
Location : Chennai
Experience : 5+ years overall, 3+ years in AI / LLM-driven systems
Job Summary :
We are seeking a Senior AI Engineer to design, build, and scale LLM-powered applications using modern orchestration frameworks, vector databases, and automation platforms. This role focuses on agentic workflows, Retrieval-Augmented Generation (RAG), and end-to-end AI automation across business and product use cases.
Key Responsibilities :
- Design and develop LLM-powered systems using frameworks such as LangChain, AutoGen, and ReAct-style orchestration
- Build and optimize agent-based workflows for multi-step reasoning, tool use, and decision-making
- Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
- Integrate and manage vector databases such as Pinecone, Weaviate, and Qdrant
- Develop and maintain AI-driven automations using platforms like n8n, Zapier, and Make.com
- Connect LLMs with APIs, databases, SaaS tools, and internal systems
- Optimize prompts, embeddings, latency, and cost across LLM workflows
- Ensure reliability, scalability, observability, and security of AI systems
- Collaborate with product, engineering, and business teams to deliver AI-first solutions
- Mentor junior engineers and contribute to AI architecture decisions
Required Skills & Qualifications :
LLM & AI Frameworks
Strong hands-on experience with LangChainExperience with AutoGen and multi-agent systemsFamiliarity with ReAct-style orchestration and tool-augmented reasoningExperience working with OpenAI, Anthropic, or similar LLM providersVector Databases
Hands-on experience with Pinecone , Weaviate , or QdrantStrong understanding of embeddings , similarity search, and indexing strategiesExperience designing and tuning RAG pipelinesAutomation & Integration
Experience building workflows using n8n, Zapier, and / or Make.comAbility to automate business processes using AI agentsExperience integrating LLMs with CRMs, ERPs, ticketing tools, and SaaS APIsProgramming & Backend
Strong proficiency in Python (primary) or TypeScriptExperience building APIs and backend servicesFamiliarity with cloud environments (AWS, GCP, or Azure)Good to Have (Nice to Have) :
Experience with function calling, tools, and agentsKnowledge of prompt engineering and evaluation frameworksExperience with fine-tuning or adapters (LoRA)Familiarity with monitoring, logging, and observability for AI systemsExposure to LLMOps / MLOps toolsSoft Skills :
Strong problem-solving and analytical skillsAbility to translate business problems into AI solutionsClear communication and stakeholder collaborationOwnership mindset and ability to work independently