Job Description
AI Lead Engineer – Generative AI & LLM Applications
Location: Bangalore, India
Employment Type: Full-time
Experience: 8–12 Years
Company: L&T Technology Services (LTTS)
Role Overview
We are seeking an AI Lead Engineer to design, build, and operate production-grade Generative AI solutions for enterprise-scale scenarios. This role focuses on LLM-powered applications, robust RAG pipelines, and multi-agent systems deployed across major cloud AI platforms.
Key Responsibilities
- Lead design and implementation of enterprise-grade Gen AI solutions using LLMs (GPT, Claude, Llama, etc.).
- Build and optimize RAG pipelines (chunking, embeddings, retrieval tuning, query rewriting, prompt optimization).
- Develop multi-agent systems with Lang Chain, Lang Graph, Llama Index, and similar frameworks.
- Architect scalable Python + Fast API/Flask or MCP microservices integrated with enterprise APIs.
- Fine-tune and evaluate LLMs for domain-specific use cases.
- Deploy and manage AI solutions on Azure (Open AI, AI Studio, Copilot Studio), AWS (Bedrock, Sage Maker), and GCP (Vertex AI).
- Implement observability, logging, and telemetry for AI systems.
- Ensure scalability, reliability, security, and cost-efficiency of production AI applications.
- Drive innovation by evaluating new LLMs, orchestration frameworks, and cloud AI capabilities.
Required Skills & Experience
- 8–15 years in AI/ML development, with 3+ years in Generative AI & LLM applications.
- Expert-level Python with production-quality coding, testing, and performance tuning.
- Hands-on experience with Lang Chain, Lang Graph, Llama Index and agentic orchestration libraries.
- Practical integration of Open AI, Anthropic Claude, Azure Open AI, AWS Bedrock, Vertex AI.
- Deep expertise in RAG workflows and vector databases (Open Search, Pinecone, Qdrant, Weaviate, pgvector, FAISS).
- Strong consulting, communication, and stakeholder management skills.
Preferred Qualifications
- Master’s degree in Computer Science, AI/ML, Data Science, or related field.
- Experience with multi-agent systems, Agent-to-Agent (A2 A) communication, and MCP ecosystems.
- Familiarity with LLMOps / observability platforms (Lang Smith, Opik, Azure AI Foundry).
- Knowledge of graph databases and knowledge graphs for enhanced retrieval and reasoning.
✨ Join LTTS to lead cutting-edge Generative AI initiatives and shape enterprise AI transformation.
Location: Bangalore, India
Employment Type: Full-time
Experience: 8–12 Years
Company: L&T Technology Services (LTTS)
Role Overview
We are seeking an AI Lead Engineer to design, build, and operate production-grade Generative AI solutions for enterprise-scale scenarios. This role focuses on LLM-powered applications, robust RAG pipelines, and multi-agent systems deployed across major cloud AI platforms.
Key Responsibilities
- Lead design and implementation of enterprise-grade Gen AI solutions using LLMs (GPT, Claude, Llama, etc.).
- Build and optimize RAG pipelines (chunking, embeddings, retrieval tuning, query rewriting, prompt optimization).
- Develop multi-agent systems with Lang Chain, Lang Graph, Llama Index, and similar frameworks.
- Architect scalable Python + Fast API/Flask or MCP microservices integrated with enterprise APIs.
- Fine-tune and evaluate LLMs for domain-specific use cases.
- Deploy and manage AI solutions on Azure (Open AI, AI Studio, Copilot Studio), AWS (Bedrock, Sage Maker), and GCP (Vertex AI).
- Implement observability, logging, and telemetry for AI systems.
- Ensure scalability, reliability, security, and cost-efficiency of production AI applications.
- Drive innovation by evaluating new LLMs, orchestration frameworks, and cloud AI capabilities.
Required Skills & Experience
- 8–15 years in AI/ML development, with 3+ years in Generative AI & LLM applications.
- Expert-level Python with production-quality coding, testing, and performance tuning.
- Hands-on experience with Lang Chain, Lang Graph, Llama Index and agentic orchestration libraries.
- Practical integration of Open AI, Anthropic Claude, Azure Open AI, AWS Bedrock, Vertex AI.
- Deep expertise in RAG workflows and vector databases (Open Search, Pinecone, Qdrant, Weaviate, pgvector, FAISS).
- Strong consulting, communication, and stakeholder management skills.
Preferred Qualifications
- Master’s degree in Computer Science, AI/ML, Data Science, or related field.
- Experience with multi-agent systems, Agent-to-Agent (A2 A) communication, and MCP ecosystems.
- Familiarity with LLMOps / observability platforms (Lang Smith, Opik, Azure AI Foundry).
- Knowledge of graph databases and knowledge graphs for enhanced retrieval and reasoning.
✨ Join LTTS to lead cutting-edge Generative AI initiatives and shape enterprise AI transformation.
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