AI Developer (Generative AI & Agentic AI)

Clinevo Technologies; Electronic City; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Clinevo Technologies seeks an AI Developer to build Generative AI and Agentic AI solutions for enterprise applications. You will work with LLMs, AI agents, RAG, and prompt engineering, developing backend AI services in Python and integrating with enterprise systems.

The role requires hands-on experience with LLMs, agent frameworks like LangChain and friends, REST APIs, and relational databases, aiming for scalable, production-ready AI products.

Qualifications

• Hands-on experience with Generative AI and Agentic AI solutions.
• Hands-on experience with LLMs, AI agents, RAG and prompt engineering.
• Experience integrating AI models with enterprise systems via REST APIs and with relational databases.

Responsibilities

• Design and develop AI-powered applications using LLMs.
• Build AI agents, multi-agent workflows, and Agentic AI solutions.
• Develop RAG-based applications, document processing, and conversational AI.
• Integrate AI models with enterprise applications through REST APIs.
• Develop backend AI services using Python.
• Work with relational databases to manage data.
• Optimize prompts, workflows, and model performance.
• Collaborate with cross-functional teams to deliver scalable AI solutions.

Skills

Python

LLMs

Prompt engineering

Function calling

Structured outputs

LangChain

LangGraph

CrewAI

LlamaIndex

AutoGen

Agentic AI

RAG

Semantic search

Vector databases

REST APIs

JSON

OAuth/JWT

SQL

Oracle

PostgreSQL

SQL Server

MySQL

FastAPI

Flask

Git

Docker

AWS

Vertex AI

Azure AI

Tools

FastAPI

Flask

Git

Docker

AWS

Vertex AI

Azure AI

Job description

Job Title

AI Developer (Generative AI & Agentic AI)

Job Summary

We are looking for an AI Developer with experience in building Generative AI and Agentic AI solutions for enterprise applications. The ideal candidate should have hands-on experience with LLMs, AI agents, RAG, prompt engineering, Python, REST API integrations, and relational databases. The role involves developing intelligent AI applications, integrating AI services with enterprise systems, and delivering scalable, secure, and production-ready AI solutions.

Key Responsibilities

• Design and develop AI-powered applications using LLMs (Gemini, OpenAI, Claude, etc.).
• Build AI agents, multi-agent workflows, and Agentic AI solutions.
• Develop RAG-based applications, intelligent document processing, and conversational AI.
• Integrate AI models with enterprise applications through REST APIs.
• Develop backend AI services using Python.
• Work with relational databases to retrieve, process, and manage application data.
• Optimize AI prompts, workflows, and model performance for accuracy and consistency.
• Collaborate with cross-functional teams to deliver scalable AI solutions.

Required Skills

• Strong proficiency in Python.
• Experience with LLMs, Prompt Engineering, Function Calling, and Structured Outputs.
• Hands-on experience with AI Agent frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or AutoGen.
• Experience building Agentic AI, RAG, semantic search, and vector database solutions.
• Strong knowledge of REST APIs, JSON, OAuth/JWT, and third-party API integrations.
• Good SQL skills with experience in Oracle, PostgreSQL, SQL Server, or MySQL.
• Familiarity with FastAPI/Flask, Git, Docker, and cloud AI platforms (AWS, Google Vertex AI, or Azure AI).
• Strong analytical, problem-solving, and communication skills.