Python Developer

Role : Senior Python Developer

Job Location : Hyderabad

Notice : Immediate Joiners

Skill : Python

Job Description :

We are seeking an experienced Senior Python Developer to support our banking technology and Generative AI initiatives . This role involves building secure, scalable applications and advanced AI-driven solutions for critical document processing, risk analytics, and compliance reporting.

Key Responsibilities

• Develop object-oriented applications using Python with expert-level software engineering practices.
• Work with Vector Databases for embedding storage and retrieval optimization.
• Design and implement GenAI lifecycle management and RAG pipelines (chunking, embedding, retrieval, re-ranking, summarization) for banking use cases.
• Evaluate and test embedding models and frameworks for performance, latency, memory, and cost optimization.
• Apply prompt engineering , hallucination mitigation, and grounding techniques for AI solutions.
• Build API-driven applications using FastAPI , API Gateway , and integrate with MongoDB , Redis , and front-end frameworks ( Angular/React ).
• Develop utilities, automation frameworks , and data pipelines to support AI/ML and GenAI initiatives.
• Create monitoring dashboards and automation scripts for system health and performance.
• Collaborate with DevOps teams using enterprise tools ( Git/Bitbucket , Jenkins , SonarQube , Artifactory , Ansible ).
• Work with large cross-functional teams to deliver secure, compliant, and scalable solutions.
• Explore Agentic architectures for orchestration and multi-step reasoning in AI workflows.

Required Skills & Experience

• Primary Skill: Python
• Secondary Skills: Vector DB, Django, Flask, FastAPI
• 5+ years of experience in object-oriented programming using Python with strong software development skills.
• Deep experience in GenAI lifecycle management and RAG pipelines .
• Expertise in prompt engineering and AI safety techniques.
• Hands-on experience with MongoDB , Redis , FastAPI , containerization (Docker/Kubernetes), and API integrations.
• Strong knowledge of model testing and evaluation frameworks for performance and reliability.
• Solid understanding of DevOps practices and enterprise tooling.
• Ability to work effectively with large cross-functional teams in a regulated environment.

Preferred (Desired) Skills

• Experience with cloud platforms (AWS, Azure) and serverless architectures.
• Knowledge of Agentic architectures and orchestration frameworks.

Exposure to AI/ML use cases in regulatory relations or risk analytics.