Job Title: AI – Agentic Developer

Organization: L&T; Finance (LTF)
Department: AI Scaling Platform
Experience: 3–5 Years
Location: Santacruz (Kalina), Mumbai / Mahape, Navi Mumbai
Employment Type: Full-Time

Job Summary

L&T; Finance is looking for an experienced Agentic AI Developer with strong expertise in Python, Java, React.js, Large Language Models (LLMs), and AI agent development.

The ideal candidate should have hands-on experience designing, developing, and deploying production-ready Generative AI applications, intelligent chatbots, voicebots, RAG pipelines, and multi-agent systems.

The role involves working with modern AI frameworks, LLM APIs, vector databases, microservices, and cloud infrastructure to build scalable AI-powered solutions for financial services.

Key Responsibilities1. Agentic AI & GenAI Development

- Design, develop, and deploy LLM-powered applications, chatbots, voicebots, and AI copilots.
- Build intelligent AI agents and multi-agent workflows using LangGraph, LangChain, ADK, and Pydantic AI.
- Develop RAG-based applications using vector databases and knowledge graphs.
- Integrate enterprise LLMs such as OpenAI GPT, Google Gemini, Claude, and LLaMA.
- Implement prompt engineering, tool calling, context management, and memory-based workflows.
- Work with MCP servers and A2A protocols for agent integration.

2. Backend & Full-Stack Development

- Develop scalable backend services and asynchronous microservices using Python and FastAPI.
- Build and integrate REST APIs, gRPC services, and WebSocket-based applications.
- Develop responsive user interfaces using React.js.




- Work with Java for backend services and API development.
- Use SQLAlchemy, Redis, BigQuery, and SQL/NoSQL databases.
- Follow modular coding practices, dependency injection, and application security standards.

3. Cloud & Deployment

- Deploy AI applications on Google Cloud Platform (GCP), including Cloud Run and GKE.
- Work with Docker, Artifact Registry, and CI/CD pipelines.
- Build scalable and event-driven application architectures.
- Implement application monitoring, logging, tracing, and performance optimization.
- Support production deployment, troubleshooting, and maintenance of AI applications.

4. LLM Optimization & Multi-Agent Systems

- Develop multi-agent architectures using supervisor, hierarchical, and network-based orchestration patterns.
- Implement stateful workflows, conditional branching, retries, and asynchronous execution.
- Optimize LLM performance, inference latency, and response quality.
- Work with open-source LLM fine-tuning techniques such as SFT and LoRA.
- Ensure security, reliability, scalability, and observability of AI-powered applications.

Required Technical Skills

- 3–5 years of experience in AI Development, GenAI, Agentic AI, or Full-Stack Development.
- Robust programming experience in Python and FastAPI.




- Hands-on experience with Java and React.js.
- Practical experience working with LLMs such as GPT, Gemini, Claude, and LLaMA.
- Solid knowledge of RAG architecture and vector databases.
- Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Knowledge of multi-agent systems and agent orchestration.
- Experience with REST APIs, gRPC, WebSockets, and microservices.
- Working knowledge of databases such as Redis, BigQuery, FAISS, Pinecone, Weaviate, or Chroma.
- Experience with Docker, GCP, Cloud Run, GKE, and CI/CD pipelines.
- Knowledge of MCP, A2A protocols, and prompt engineering.

Good to Have

- Experience with Google ADK, Pydantic AI, and n8n.
- Exposure to voicebots, SIP media gateways, and real-time streaming applications.
- Experience with LLM fine-tuning, SFT, and LoRA.
- Knowledge of multi-GPU inference optimization.
- Exposure to Hugging Face, Azure AI Foundry, and GCP AI services.
- Certifications in Agentic AI, LLM, GCP, or Azure AI.

Educational Qualification

Bachelor’s or Master's degree in Computer Science, MCA, Software Engineering, Data Science, or a related field.

Why Join L&T; Finance?

- Work on enterprise-level Agentic AI and Generative AI projects.
- Build production-ready AI applications for banking and financial services.
- Gain exposure to LLMs, RAG, multi-agent systems, and modern AI platforms.
- Collaborate with experienced AI, Data Engineering, and Digital teams.
- Be part of L&T; Finance's AI-driven digital transformation journey.

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Work Location: In person

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