Python Gen AI Engineer

Futops Technologies India Private Limited; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Futops Technologies India Private Limited is seeking a skilled Python Developer to join their team in Gurugram, Haryana. This 100% onsite position is focused on developing AI-powered applications and requires expertise in RAG workflows and working with LLMs. The ideal candidate should have at least 5 years of experience in Python development, familiarity with Docker, Kubernetes, and strong collaboration skills to ensure seamless integration in enterprise environments. Competitive benefits are offered.

Qualifications

• 5+ years of development experience in Python.
• Experience building AI-based applications using modern frameworks.
• Prior work with LLMs such as Llama or Granite.

Responsibilities

• Develop AI-powered applications leveraging LlamaIndex or LangChain.
• Implement RAG workflows with pre- and post-processing techniques.
• Build and optimize APIs using Fast API.

Skills

Python Development

AI Application Development

Embedding Models

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Fast API

Docker

Kubernetes

Kafka

Collaboration Skills

Tools

LlamaIndex

LangChain

Azure Cosmos DB

OpenShift

FAISS

Chroma

Job description

Job Summary

We are seeking a highly skilled Python Developer with a minimum of 5 years of development experience and hands‑on experience building AI‑based applications. The ideal candidate should have strong expertise in AI application development, Retrieval‑Augmented Generation (RAG) workflows, and embedding models. Prior experience working with Large Language Models (LLMs) such as Llama or Granite is essential, along with proficiency in pre‑ and post‑processing of RAG workflows. This is a 100% onsite opportunity as the developer will be required to collaborate closely with key application developers and architects, ensuring seamless integration and deployment of AI‑powered applications within enterprise environments.

Key Responsibilities

• Develop AI‑powered applications leveraging LlamaIndex or LangChain.
• Implement RAG (Retrieval‑Augmented Generation) workflows, including pre‑ and post‑processing techniques.
• Work with embedding models to optimize document retrieval and ranking.
• Build and optimize APIs using Fast API.
• Develop prompt engineering techniques for both text and images to optimize LLM outputs.
• Deploy and manage containerized applications using Docker, OpenShift, or Kubernetes.
• Work with vector databases on Azure for AI‑driven search and retrieval.
• Integrate and manage OIDC‑based authentication for secure application access.
• Optimize application performance, scalability, and security in cloud environments.
• Understand Kafka and event‑driven programming for real‑time data processing.
• Collaborate with key application developers and architects to align AI development with enterprise system requirements.

Requirements

• 3-5 years of development experience in Python and software engineering.
• Hands‑on experience building AI‑based applications using modern frameworks.
• Prior experience working with LLMs such as Llama or Granite.
• Hands‑on experience with LlamaIndex or LangChain for AI‑driven workflows.
• Deep understanding of RAG (Retrieval‑Augmented Generation) workflows, including pre‑ and post‑processing techniques.
• Proficiency in embedding models for search and ranking.
• Strong prompt engineering experience for text and images.
• Experience in Fast API for building high‑performance APIs.
• Good understanding of Docker, OpenShift, or Kubernetes for container orchestration.
• Familiarity with vector databases on Azure (e.g., Azure Cosmos DB, FAISS, Chroma).
• Experience with OIDC authentication frameworks and security best practices.
• Understanding of Kafka and event‑driven programming.
• Working knowledge of NoSQL databases and MS SQL.
• Basic understanding of Kotlin and React to collaborate effectively with frontend and mobile teams.
• Strong problem‑solving skills and ability to work in a collaborative, onsite environment.

Nice to Have (Red Hat‑Based Products & AI Model Serving)

• Experience with Red Hat OpenShift Service Mesh.
• Knowledge of Red Hat Quay for container registry management.
• Experience with model serving using OpenShift AI and vLLM.
• Knowledge of pipeline automation using KubeFlow Pipelines and Elyra.