Senior AI Engineer – LLM Frameworks, Vector Databases & Automation

Senior AI Engineer – LLM Frameworks, Vector Databases & Automation

Location:

Chennai / Hybrid / Remote (as applicable)

Experience:

6+ years overall, 3+ years in AI / LLM-driven systems

Job Summary:

Senior AI Engineer

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

  LangChain

• Experience with

  AutoGen

  and

  multi-agent systems

• Familiarity with

  ReAct-style orchestration

  and tool-augmented reasoning
• Experience working with OpenAI, Anthropic, or similar LLM providers

Vector Databases

• Hands-on experience with

  Pinecone

  ,

  Weaviate

  , or

  Qdrant

• Strong understanding of

  embeddings

  , similarity search, and indexing strategies
• Experience designing and tuning

  RAG pipelines

Automation & Integration

• Experience building workflows using

  n8n, Zapier, and/or Make.com

• Ability to automate business processes using AI agents
• Experience integrating LLMs with CRMs, ERPs, ticketing tools, and SaaS APIs

Programming & Backend

• Strong proficiency in

  Python

  (primary) or

  TypeScript

• Experience building APIs and backend services
• Familiarity with cloud environments (AWS, GCP, or Azure)

Good to Have (Nice to Have):

• Experience with

  function calling, tools, and agents

• Knowledge of

  prompt engineering

  and evaluation frameworks
• Experience with

  fine-tuning

  or adapters (LoRA)
• Familiarity with

  monitoring, logging, and observability

  for AI systems
• Exposure to

  LLMOps / MLOps

  tools

Soft Skills:

• Strong problem-solving and analytical skills
• Ability to translate business problems into AI solutions
• Clear communication and stakeholder collaboration
• Ownership mindset and ability to work independently