Python+ Gen AI Engineer

Persistent Systems Limited

Bengaluru, Hyderabad

Hybrid

INR 2,500,000 - 4,000,000

Full time

14 days+

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Job summary

Persistent Systems Limited in Bengaluru is seeking a Python Generative AI Engineer to design and deploy AI-powered applications using LLMs, LangChain, and LangGraph. You will build RAG-based solutions, integrate OpenAI, Azure OpenAI, and other platforms, and work with structured and unstructured data.

The role emphasizes hands-on Python development, model tuning, performance optimization, and collaboration with cloud teams on Azure, AWS, or GCP.

Qualifications

  • Hands-on experience designing and deploying Generative AI solutions.
  • Experience with LLMs, LangChain, and LangGraph.
  • Experience building AI agents and multi-agent workflows.
  • Familiarity with RAG architectures and vector databases.

Responsibilities

  • Design and develop Generative AI applications leveraging LLMs.
  • Create and optimize prompts to improve model quality and performance.
  • Implement Retrieval-Augmented Generation (RAG) using vector DBs.
  • Integrate OpenAI, Azure OpenAI, Anthropic, or other LLM platforms.
  • Work with structured and unstructured data for AI model consumption.
  • Monitor, evaluate, and fine-tune AI applications for reliability.

Skills

Generative AI
LLMs
LangChain
LangGraph
AI agents
Prompt engineering
Vector DBs
Cloud platforms
CI/CD
Git

Tools

Pinecone
ChromaDB
Weaviate
FAISS

Job description

Overview

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. We are looking for a highly skilled Python Generative AI Engineer with hands-on experience in building and deploying AI-powered applications using LLMs, LangChain, LangGraph, and Prompt Engineering. The ideal candidate should have strong Python development expertise and practical experience in designing, developing, and optimizing Generative AI solutions for enterprise use cases.

Responsibilities
  • Design and develop Generative AI applications leveraging Large Language Models (LLMs).
  • Create and optimize prompts to improve model accuracy, response quality, and performance.
  • Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
  • Integrate OpenAI, Azure OpenAI, Anthropic, or other LLM platforms into enterprise applications.
  • Work with structured and unstructured data for AI model consumption.
  • Monitor, evaluate, and fine-tune Generative AI applications for performance and reliability.
Expertise You\'ll Bring
  • Strong knowledge of Generative AI concepts and Large Language Models (LLMs).
  • Hands-on experience with LangChain and LangGraph.
  • Experience building AI agents, Multi-Agent Systems, and workflow orchestration.
  • Knowledge of RAG (Retrieval Augmented Generation) architecture.
  • Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
  • Experience with Git, CI/CD pipelines, and cloud platforms (Azure, AWS, or GCP).
  • Culture-focused talent development with quarterly growth opportunities and company-sponsored higher education and certifications.
  • Opportunity to work with cutting-edge technologies.
Inclusion and Workplace Accessibility

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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