Senior Python AI Engineer

Persistent Systems

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

5 hours ago
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Benefits offered by this job

Company-sponsored education
Flexible work hours
Long Service awards
Insurance coverage: group term life,个人

Job summary

Persistent Systems in Bengaluru is seeking a Senior Python AI Engineer focused on Generative AI, LLMs, and RAG. You will design, build, and deploy enterprise-grade GenAI solutions and intelligent agents.

You will collaborate with product owners, data scientists, and engineering teams, implement prompts, integrate with OpenAI and other platforms, and ensure performance, security, and governance. The role requires 6–8 years of software development with Python and hands-on GenAI experience, with a

Qualifications

  • 6–8 years of software development experience with Python.
  • Strong hands-on Generative AI and LLM development.
  • Expertise in Prompt Engineering and optimization techniques.
  • Strong development experience with LangChain and LangGraph.
  • Experience building enterprise-grade RAG (Retrieval-Augmented Generation) solutions.
  • Hands-on experience with Large Language Models (LLMs) and AI Agent architectures.
  • Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or similar models.
  • Strong knowledge of vector databases, embeddings, semantic search, and retrieval systems.
  • Experience designing and developing REST APIs using FastAPI.
  • Understanding of microservices architecture and scalable backend development.
  • Experience working with structured and unstructured data sources for AI applications.
  • Knowledge of model evaluation, prompt testing, and AI performance optimization.
  • Familiarity with cloud environments such as Azure, AWS, or Google Cloud Platform.
  • Strong analytical, problem-solving, and debugging skills.
  • Experience working in Agile/Scrum environments.
  • Excellent communication and collaboration skills.

Responsibilities

  • Design, develop, and deploy AI-powered applications using Python.
  • Build RAG solutions utilizing enterprise knowledge and vector databases.
  • Develop multi-agent AI workflows with LangChain and LangGraph.
  • Design and optimize prompts for LLM-based applications.
  • Integrate with OpenAI, Azure OpenAI, Claude, Gemini, and similar providers.
  • Create scalable APIs and microservices using FastAPI.
  • Develop conversational AI assistants and copilots.
  • Work with embeddings, vector stores, and semantic search.
  • Implement AI governance, security, and responsible AI practices.
  • Optimize model performance, latency, cost, and response quality for production environments.
  • Collaborate with product owners, architects, data scientists, and engineering teams; perform testing and debugging.
  • Contribute to architecture reviews and technical design discussions.
  • Create implementation guides and deployment procedures.
  • Stay updated with emerging GenAI advancements.

Skills

Python
Generative AI
LLMs
Prompt Engineering
LangChain
LangGraph
RAG
REST APIs
FastAPI
Agile/Scrum
API design

Tools

LangChain
LangGraph
OpenAI API

Job description

We are seeking a highly skilled Senior Python AI Engineer with expertise in Generative AI, Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI-powered applications, intelligent agents, and scalable GenAI solutions.

  • Role: Senior Python AI Engineer Generative AI & LLM Solutions
  • Experience: 6 to 8 Years
  • Job Type: Full-Time Employment
What You'll Do:
  • Design, develop, and deploy AI-powered applications using Python and modern Generative AI frameworks.
  • Build and implement Retrieval-Augmented Generation (RAG) solutions utilizing enterprise knowledge repositories and vector databases.
  • Develop Agentic AI workflows and multi-agent systems using LangChain and LangGraph.
  • Design, optimize, and evaluate prompts for Large Language Model-based applications.
  • Integrate enterprise applications with LLM providers such as OpenAI, Azure OpenAI, Claude, Gemini, and other AI platforms.
  • Build scalable APIs and microservices using FastAPI and REST-based architectures.
  • Develop conversational AI assistants, copilots, chatbots, and intelligent automation solutions.
  • Work with embedding models, vector stores, semantic search, and retrieval pipelines.
  • Implement AI governance, security, and responsible AI best practices.
  • Optimize model performance, latency, cost, and response quality for production environments.
  • Collaborate with product owners, architects, data scientists, and engineering teams to deliver AI-driven solutions.
  • Conduct testing, debugging, monitoring, and troubleshooting of AI applications.
  • Participate in architecture reviews, code reviews, and technical design discussions.
  • Create technical documentation, implementation guides, and deployment procedures.
  • Stay updated with emerging advancements in Generative AI, LLMs, agent frameworks, and AI engineering best practices.
Expertise You'll Bring:
  • 6-8 years of software development experience with strong proficiency in Python.
  • Strong hands-on experience in Generative AI application development.
  • Expertise in Prompt Engineering and prompt optimization techniques.
  • Strong development experience with LangChain and LangGraph.
  • Experience building enterprise-grade RAG (Retrieval-Augmented Generation) solutions.
  • Hands-on experience with Large Language Models (LLMs) and AI Agent architectures.
  • Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or similar models.
  • Strong knowledge of vector databases, embeddings, semantic search, and retrieval systems.
  • Experience designing and developing REST APIs using FastAPI.
  • Understanding of microservices architecture and scalable backend development.
  • Experience working with structured and unstructured data sources for AI applications.
  • Knowledge of model evaluation, prompt testing, and AI performance optimization.
  • Familiarity with cloud environments such as Azure, AWS, or Google Cloud Platform.
  • Strong analytical, problem-solving, and debugging skills.
  • Experience working in Agile/Scrum environments.
  • Excellent communication and collaboration skills.
  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:

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.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

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