Senior Software Engineer - Java/Python AWS GenAI
- Compensation
- Not disclosed
- Location
- Bengaluru
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Experience
- 11+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelors or Masters degree in Computer Science, Engineering, or related field.
- 11+ years of backend software development experience with Java and Spring Boot.
- 2+ years of backend experience with Python (FastAPI, Flask, or similar frameworks).
- Production-level experience in building and deploying AI Agentic solutions, including orchestration of LLM-based agents, integration with enterprise microservices, and troubleshooting live production
- Hands-on experience implementing LLM, GenAI, and RAG systems using frameworks such as LangChain, LangGraph, or Autogen.
- Experience building and integrating Model Context Protocol (MCP) frameworks for tool and API interoperability
- Strong understanding of AI orchestration and LLM integration patterns in distributed environments.
- Proven experience building and scaling distributed microservice architectures.
- Proficiency in REST/gRPC API design, event-driven architectures, and message queues (Kafka, RabbitMQ).
- Experience with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines.
- Hands-on expertise with cloud platforms (AWS, GCP, Azure).
- Familiarity with SQL and NoSQL databases (MySQL, DynamoDB, MongoDB).
- Experience with containerization and CI/CD pipelines (Docker, Kubernetes, ArgoCD, Jenkins, GitHub Actions).
- Excellent debugging, performance optimization, and system design skills at scale.
Full description
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you''ll have the opportunity to create impact at scale tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters to you, to your community, and to the world. Progress starts with you.
Job Description
Visa is building a next-generation Agentic AI services that brings intelligent, autonomous agents into large-scale distributed applications across our global ecosystem. Were seeking a Sr. Consultant Software Engineer who will architect, design, and build scalable backend systems that integrate AI agents into Visas enterprise infrastructure. You will work with other Senior Engineers and technical leaders to define the architecture, scaling strategy, and engineering standards for Visas AI-driven products. This is a role for a hands-on technical leader a go-getter, builder, and problem solver with deep experience in Java microservices, GenAI integration, and distributed system design, and a true-north, entrepreneurial mindset focused on speed, quality, and innovation.
Key Responsibilities:
Architecture & Design:
- Architect and evolve the Agentic AI Platform to support multi-agent orchestration, retrieval-augmented generation (RAG), and integration with existing Visa microservices.
- Design scalable, secure backend systems using Java (Spring Boot) and Python (FastAPI/Flask).
- Develop RESTful and gRPC APIs that connect backend services, AI agents, and React front-end applications.
AI & GenAI Integration:
- Integrate Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini into backend systems.
- Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS).
- Develop orchestration and agentic workflows using LangChain, LangGraph, or Autogen.
Scalability & Reliability:
- Lead the design and implementation of distributed, fault-tolerant systems that scale horizontally.
- Implement auto-scaling, monitoring, and observability using Kubernetes, Docker, and Prometheus/Grafana.
- Drive best practices for latency reduction, cost optimization, and service reliability.
Leadership & Execution:
- Partner with other senior engineers, ML engineers, and product leads to define and deliver the platform roadmap.
- Mentor developers, set coding standards, and lead design reviews.