Artificial Intelligence/Machine Learning Engineer

Forward Eye Technologies; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Forward Eye Technologies in Bengaluru (MBRDI Office) seeks a GenAI Engineer with Python development and LLM integration to design, build, and deploy AI-powered solutions that automate workflows and enhance decision-making.

You will work with LLMs via APIs, data pipelines, and cloud platforms to deliver production-grade applications, applying prompt engineering, RAG, vector search, and Databricks-related workflows.

Qualifications

• 6-8 years of experience in AI/ML development.
• Design, build and deploy AI-powered solutions.
• Experience with LLMs via APIs and integration with enterprise systems.
• Proficiency with prompt engineering, RAG, and vector search.
• Experience deploying AI services on cloud platforms such as Azure/AWS/GCP.
• Familiarity with LangChain and LangGraph in Databricks contexts.

Responsibilities

• Design and develop AI/ML solutions using LLMs (OpenAI, Azure OpenAI, or similar).
• Build AI-driven applications like chatbots, copilots, agents, and automation tools.
• Integrate AI models with enterprise systems (APIs, databases, workflows).
• Implement prompt engineering, RAG and vector search techniques.
• Develop and deploy AI services using cloud platforms (Azure / AWS / GCP).
• Work with LangChain, LangGraph and Databricks development.

Skills

Python

LLM integration

API development

LangChain

LangGraph

Databricks

Cloud platforms

Data pipelines

Tools

OpenAI API

Azure OpenAI

Vector search

LangChain

Job description

Description :

Job Title : GenAI Engineer with Python development and LLM integration (API-based)

Experience : 6 - 8 Years

Location : MBRDI Office

Role Summary : We are looking for an AI Developer to design, build, and deploy AI‑powered solutions that automate workflows, enhance decision‑making, and integrate seamlessly with enterprise systems. The role involves working with Large Language Models (LLMs), APIs, data pipelines, and cloud platforms to deliver production‑grade AI applications.

Key Responsibilities

• Design and develop AI/ML solutions using LLMs (OpenAI, Azure OpenAI, or similar)
• Build AI‑driven applications such as chatbots, copilots, agents, and automation tools
• Integrate AI models with enterprise systems (APIs, databases, workflows)
• Implement prompt engineering, RAG (Retrieval Augmented Generation), and vector search
• Develop and deploy AI services using cloud platforms (Azure / AWS / GCP)
• Expertise with dealing with langchain, langgraph with Databricks development