Python Developer with Gen AI

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 with Generative AI

· Location: Pan India.

· Experience: 8+ years

· Job Type : Contract to hire.

· Notice Period:- Immediate joiners.

JD:

Key Responsibilities:

• Develop end-to-end scalable, optimized enterprise AI solutions.
• Engage in prompt engineering and fine-tuning of AI/ML models, including Generative AI (GenAI) and Large Language Models (LLMs), as well as building and managing multi-agent systems.
• Implement practical hands-on fine-tuning, transfer learning, and optimization of Transformer architecture-based deep learning models.

Technical Skills:

• Proficient in Agentic AI, GenAI, and LLM technologies, with experience in NLP tools such as Word2Vec, NLTK, SpaCy, BERT, GloVe, Autogen, Semantic Kernel, Lang chain, and Langraph.
• Hands on development experience with development of AI agents.
• Familiarity with either of cloud platforms like Azure, AWS or Google Cloud
• Strong programming skills in Python, with experience in frameworks such as Flask for lightweight applications and FastAPI for API development.
• Proficient in using Docker for container deployment and deploying ML models on Kubernetes clusters.
• Experience with NoSQL, SQL, and vector databases.
• Strong understanding of statistical methods and experimental design.
• Familiarity with MLOps practices for continuous integration and continuous deployment (CI/CD) in machine learning.
• Experience in prompt fine tuning and performance optimization
• Experience using Python Memory management tools like Scalene or Filprofiler or similar
• Experience in any of the Frameworks like Langchain, Langraph etc.
• Familiarity of having worked on packages such as Python-pptx, pymupdf to read PPTX or pdf documents. This has to be complimented with hands-on experience integrating OpenAI's GPT models with such Python applications.