Python Developer

About Company :

• They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

About Client:

• Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.
• Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.
• Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

• Job Title:

  Python Developer

• Experience:

  8+ Years

• Job Type : Contract to hire.
• Notice Period:- Immediate joiners.
• Location :

  PAN INDIA

Job Summary

• We are seeking a hands-on

  Python Developer

  to design, build, and deploy scalable enterprise-grade AI solutions. The role focuses on

  Generative AI, Large Language Models (LLMs), and Agentic AI systems

  , with strong emphasis on prompt engineering, model fine-tuning, and production-grade deployment using modern MLOps practices.

Key Responsibilities

• Design, develop, and deploy

  end-to-end scalable AI solutions

  for enterprise use cases.
• Perform

  prompt engineering, prompt fine-tuning, and optimization

  for LLM-based applications.
• Fine-tune and optimize

  Transformer-based deep learning models

  using techniques such as transfer learning and parameter-efficient tuning.
• Build and manage

  Agentic AI and multi-agent systems

  for autonomous and semi-autonomous workflows.
• Develop and expose AI services using

  FastAPI

  or

  Flask

  for production-ready APIs.
• Integrate

  LLMs (OpenAI / similar)

  with Python applications to process structured and unstructured data (PDF, PPTX, text).
• Containerize AI applications using

  Docker

  and deploy ML workloads on

  Kubernetes

  clusters.
• Work with

  SQL, NoSQL, and vector databases

  to support AI-driven retrieval and reasoning systems.
• Apply

  statistical methods and experimental design

  to evaluate model performance and optimize outcomes.
• Implement

  MLOps practices

  , including CI/CD pipelines for model training, validation, and deployment.
• Monitor and optimize application performance, including

  Python memory profiling and optimization

  .

• Seniority Level

• Mid-Senior level

• Industry

• IT Services and IT Consulting

• Employment Type

• Contract

• Job Functions

• Business Development
• Consulting

• Skills

• Python

• Fast Api

• Generative Ai

• LLM Evaluation

• Prompt Engineering

• SQL

• Agentic Ai