Python Developer

Job Description

Must Have Technical/Functional Skills

We are seeking a highly skilled Python Developer with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI technologies. The ideal candidate will be responsible for designing, developing, and deploying scalable AI-powered applications, backend services, and intelligent automation solutions. This role requires strong Python development expertise combined with knowledge of LLMs, AI frameworks, APIs, and cloud-native architectures.

Key Responsibilities

· Design, develop, and maintain scalable Python applications and microservices.

· Build and integrate AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications.

· Develop REST APIs and backend services using FastAPI, Flask, or Django.

· Design and implement Retrieval-Augmented Generation (RAG) solutions and AI-assisted workflows.

· Work with vector databases and embedding models to support semantic search and knowledge management applications.

· Integrate AI services such as OpenAI, Azure OpenAI, Gemini, Claude, or similar platforms.

· Develop data pipelines for model training, inference, and AI-driven automation.

· Collaborate with Product Owners, Architects, Data Engineers, and Business Stakeholders to deliver enterprise-grade solutions.

· Optimize application performance, scalability, security, and reliability.

· Participate in Agile development processes, code reviews, testing, and CI/CD activities.

Roles & Responsibilities

Required Skills

· 8 years of hands-on experience in Python development.

· Strong expertise in Python frameworks such as FastAPI, Flask, or Django.

· Experience with RESTful APIs, Microservices Architecture, and distributed systems.

· Good understanding of Machine Learning, NLP, and Generative AI concepts.

· Hands-on experience working with LLMs, Prompt Engineering, and AI model integration.

· Experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration frameworks.

· Knowledge of RAG architecture, embeddings, and vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.

· Proficiency in SQL and database design principles.

· Experience with Git, CI/CD pipelines, Docker, and containerized environments.

· Strong problem-solving, analytical, and communication skills.

Preferred Skills

· Experience with cloud platforms such as AWS, Azure, or GCP.

· Knowledge of MLOps, LLMOps, and model deployment practices.

· Experience with PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy.

· Familiarity with Kafka, Spark, Databricks, or Snowflake. · Exposure to AI governance, Responsible AI, and model monitoring frameworks.

· Experience in Banking, Financial Services, Capital Markets, or other regulated industries.