Python Developer-6

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.

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.