Senior Python + Ai Engineer - 6 years (Pune)

Position: Java & Python AI/ML Engineer
Experience: 6+ Years
Domain: Banking
Work Location: Pune
Key Responsibilities
Develop AI/ML solutions using Python, LLMs, and Generative AI technologies.
Design and implement enterprise-grade RAG (Retrieval-Augmented Generation) pipelines.
Develop Agentic AI workflows and orchestration solutions using LangGraph and/or LangChain.
Integrate and consume LLM APIs for enterprise AI applications.
Implement prompt engineering, prompt management, streaming responses, model integration, and LLM cost optimization.
Design and develop scalable distributed systems and microservices.
Build secure and reliable REST APIs and backend components.
Design, develop, and maintain scalable backend services using Java, Spring Boot, and Microservices.
Integrate AI capabilities with existing enterprise applications and services.
Work with AWS and/or Azure cloud platforms and AI/ML services.
Implement CI/CD pipelines and follow modern DevOps and engineering practices.
Develop unit and integration tests to ensure application reliability and quality.
Implement application monitoring, logging, metrics, tracing, and observability.
Troubleshoot production issues and perform root-cause analysis.
Optimize application performance, scalability, reliability, and resource utilization.
Participate in system design, architecture reviews, and technical discussions.
Follow secure coding standards, design patterns, and software engineering best practices.
Mentor junior engineers and contribute to technical knowledge sharing.
Mandatory Skills
6+ years of relevant software development experience.
Strong hands-on experience with Java.
Strong experience with Spring Boot and Microservices.
Good hands-on experience with Python.
Practical experience with LLMs / Generative AI.
Hands-on experience developing RAG pipelines.
Knowledge or practical experience with Agentic AI.
Experience with LangChain and/or LangGraph.
Experience integrating LLM APIs.
Strong understanding of Distributed Systems and System Design.
Experience with AWS and/or Azure.
Knowledge of CI/CD and automated testing.
Understanding of application monitoring and observability.
Strong analytical, troubleshooting, and problem-solving skills.
Good communication and collaboration skills.
Good-to-Have Skills
Experience with Vector Databases and Embeddings.
Knowledge of Kafka or event-driven architecture.
Experience with Docker and Kubernetes.
Experience with API Gateway and distributed messaging.
Knowledge of AI evaluation, guardrails, and responsible AI practices.
Experience with LLM performance, latency, and cost optimization.
Previous experience in Banking, Payments, FinTech, or Financial Services.
Technical Environment
Languages: Java, Python
Backend: Spring Boot, Microservices, REST APIs
AI/ML: LLMs, Generative AI, RAG, Agentic AI
Frameworks: LangChain, LangGraph
Cloud: AWS, Azure
Architecture: Distributed Systems, Microservices, Event-Driven Architecture
DevOps: CI/CD, Docker, Kubernetes
Testing: Unit Testing, Integration Testing
Observability: Logging, Monitoring, Metrics, Tracing

Work arrangement
Hybrid