: Senior Backend Developer Java Spring Boot / Python FastAPI / Cloud / GenAI

Location: [Bangalore, India]

Employment Type: Full-time

About the Role

We are looking for an experienced Senior Backend Developer with strong expertise in Java Spring Boot, Python FastAPI, SQL/NoSQL databases, cloud platforms, and contemporary deployment practices.

The ideal candidate should also have exposure to Generative AI, Agentic AI workflows, AI agents, LLM-based applications, and integration of AI services into backend systems. This role requires a strong backend engineering mindset with the ability to design scalable APIs, microservices, cloud-native applications, and AI-powered backend solutions.

Key Responsibilities

- Design, develop, and maintain scalable backend services and APIs using Java Spring Boot, Python FastAPI.
- Build and manage RESTful APIs, microservices, and event-driven backend systems.
- Work with both SQL databases such as PostgreSQL, MySQL, SQL Server, Oracle, etc., and NoSQL databases such as MongoDB, DynamoDB, Cassandra, Redis, etc.
- Develop secure, high-performance, and reliable backend systems.
- Build and integrate Generative AI-powered features into backend applications.
- Design and implement AI agent workflows, agentic AI solutions, and LLM-based applications.
- Integrate backend systems with LLMs and AI platforms such as OpenAI, Azure OpenAI, Google Vertex AI, AWS Bedrock, Anthropic Claude, or similar platforms.
- Work on prompt engineering, RAG-based solutions, vector databases, embeddings, and semantic search.
- Build APIs and orchestration layers for AI agents, tools, function calling, and automated workflows.
- Implement AI model integrations with enterprise systems, databases, third-party APIs, and cloud services.
- Work on cloud-based application development and deployment using at least two platforms among AWS, Azure, and GCP.
- Experience with event-driven architecture and messaging systems like Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, or Google Pub/Sub.
- Manage application deployments using CI/CD pipelines, Docker, Kubernetes, and DevOps tools.
- Optimize application performance, database queries, system scalability, and AI service usage costs.
- Implement authentication, authorization, logging,



monitoring, observability, and error-handling mechanisms.
- Collaborate with frontend developers, QA engineers, DevOps teams, product managers, and AI/ML teams.
- Participate in code reviews, architecture discussions, technical design, and documentation.
- Troubleshoot production issues and provide timely resolutions.
- Knowledge of API gateways, service mesh, and distributed system design.
- Experience with unit testing and integration testing frameworks.

Required Skills and Experience

- 10+ years of experience in backend development.
- Strong hands-on experience with Java and Spring Boot.
- Good experience with Python and FastAPI.
- Strong knowledge of Node.js and backend API development.
- Experience in designing and developing REST APIs, microservices, and scalable backend architectures.
- Strong knowledge of SQL databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Good experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or Redis.
- Hands-on experience with at least two cloud platforms among AWS, Azure, and GCP.
- Experience in application deployment, cloud services, and infrastructure management.
- Good knowledge of Docker, Kubernetes, CI/CD pipelines, and deployment automation.
- Experience with version control tools such as Git, GitHub, GitLab, or Bitbucket.
- Understanding of application security, authentication, and authorization mechanisms such as OAuth2, JWT, SSO, etc.
- Exposure to Generative AI, LLMs, AI agents, or Agentic AI frameworks.
- Experience integrating AI/LLM APIs such as OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, or similar.
- Understanding of prompt engineering, embeddings, vector databases, RAG, and AI workflow orchestration.
- Strong debugging, problem-solving, and performance optimization skills.
- Good understanding of Agile/Scrum development methodology.





AI / GenAI / Agentic AI Skills The candidate should have experience or strong understanding of:

- Generative AI application development using LLMs.
- Building AI agents and autonomous workflows.
- Working with Agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.
- Implementing tool calling / function calling for AI agents.
- Designing multi-agent workflows and AI orchestration patterns.
- Building RAG pipelines using embeddings, vector databases, and document retrieval.
- Working with vector databases such as Pinecone, Weaviate, Milvus, FAISS, ChromaDB, Azure AI Search, or OpenSearch.
- Integrating AI solutions with enterprise data sources, APIs, and cloud services.
- Implementing guardrails, validation, logging, monitoring, and security for AI-based systems.
- Understanding responsible AI practices, data privacy, and hallucination mitigation techniques.

Cloud and Deployment Skills The candidate should have experience in:

- Deploying applications on AWS, Azure, or GCP.
- Working with cloud services related to compute, storage, networking, databases, monitoring, logging, and security.
- Deploying AI-enabled applications and backend services in cloud environments.
- Containerization using Docker.
- Orchestration using Kubernetes or cloud-native container services such as EKS, AKS, GKE.
- CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline, or Cloud Build.
- Monitoring and observability tools such as CloudWatch, Azure Monitor, Google Cloud Monitoring, Prometheus, Grafana, ELK/EFK, etc.

Good to Have

- Knowledge of serverless technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions.
- Experience with Terraform, Ansible, Pulumi, or other Infrastructure as Code tools.
- Knowledge of MLOps, LLMOps, model deployment, prompt versioning, and AI monitoring.
- Experience in building chatbots, copilots, workflow automation agents, or AI-powered enterprise assistants.

Educational Qualification

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, AI/ML, Data Science, or a related field.

📌 Backend Developer with Java Spring Boot Python FastAPI Cloud GenAI (Bengaluru)
🏢 Genpact
📍 Bengaluru