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:

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 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