Forward Deployed Engineer (Generative AI)

Nisource Technologies; Hyderabad, Bengaluru; Hybrid; INR 2,000,000 - 3,500,000; Full time

Job summary

Nisource Technologies is seeking a Forward Deployed Engineer focused on Generative AI. Hyderbad/Bangalore preferred with 4–10 years experience in GenAI and LLM-driven solutions.

You will design and deploy enterprise GenAI apps, build RAG pipelines, and integrate AI models via APIs while collaborating with clients and stakeholders. Minimum hands-on GenAI experience, strong Python development, and AWS exposure are essential.

Qualifications

• Hands-on GenAI experience across real projects.
• Proven LLM-based project implementation.
• Strong Python development skills and AWS exposure.
• Excellent communication with stakeholders and clients.

Responsibilities

• Design and develop GenAI-powered enterprise apps.
• Build LLM-based solutions and multi-agent workflows.
• Develop RAG pipelines using embeddings and vector databases.
• Integrate AI models with enterprise apps via APIs.
• Optimize prompts, context management and agent workflows.
• Deploy and support AI solutions on AWS.
• Collaborate with clients and business users to translate requirements.

Skills

GenAI

LLMs

Python

API Integrations

Stakeholder communication

Client interaction

Tools

Python

AWS Cloud

LangChain

LangGraph

RAG

Vector Databases

Embeddings

APIs

LLMs

GenAI

Prompt Engineering

Agentic AI / Multi-Agent Systems

Job description

Forward Deployed Engineer Generative AI

Experience: 4–10 Years
Location: Hyderabad / Bangalore preferred

Mandatory Skills:

• Generative AI / GenAI
• LLMs
• Python
• AWS Cloud
• LangChain
• LangGraph
• Agentic AI / Multi-Agent Systems
• RAG
• Prompt Engineering
• Vector Search
• Embeddings
• API Integrations

Preferred Skills:

• Healthcare / Insurance domain
• Hospital / Provider / Payer domain
• OpenAI / Claude / Anthropic
• MCP
• ChromaDB / Pinecone / Vector Databases

Key Responsibilities:

• Design and develop GenAI-powered enterprise applications.
• Build LLM-based solutions and Agentic AI/Multi-Agent workflows.
• Develop RAG pipelines using embeddings and vector databases.
• Integrate AI models with enterprise applications through APIs.
• Optimize prompts, context management and agent workflows.
• Deploy and support AI solutions on AWS.
• Work directly with clients, business stakeholders and users.
• Translate business requirements into production-ready AI solutions.

Candidate Must Have:

• Minimum 6 months–1 year hands-on GenAI experience.
• Proven LLM-based project implementation.
• Strong Python development.
• Hands-on AWS experience.
• Strong communication and stakeholder management.
• Ability to work directly with clients/business users.