AI Backend Engineer

5-8 Years Bengaluru, Pune, Noida

• AI
• java

The role involves designing, developing, and supporting cloud-native applications, integrations, workflows, and AI-powered automation. The engineer will work closely with engineering teams, Trade Compliance SMEs, Operations, Legal, and other enterprise teams.

The technology stack includes Java, Node.js, Python, AWS, REST APIs, LLMs, Agentic AI, CI/CD, Oracle, Snowflake, and Salesforce.

Key Responsibilities

• Design, develop, test, deploy, and maintain scalable cloud-native applications and services.
• Design and develop AI-powered applications and agentic workflows using LLMs.
• Develop and integrate AI agents with enterprise applications, APIs, and data sources.
• Apply prompt engineering, tool/function calling, context management, and agent orchestration techniques.
• Develop backend services and APIs using Java, Node.js, and Python.
• Build integrations with enterprise applications using REST APIs.
• Design and maintain CI/CD pipelines using Jenkins and AWS CodePipeline.
• Implement Infrastructure as Code using AWS CDK.
• Develop automated unit, integration, and E2E tests.
• Troubleshoot and resolve production issues independently.
• Implement monitoring, logging, and observability using Splunk, Dynatrace, and related tools.
• Maintain technical documentation covering architecture, design, deployment, and operational procedures.

Required Qualifications

• Bachelors degree in computer science, Engineering, or a related field.
• 5+ years of software development experience.
• Strong hands-on experience with full-stack software development.
• Strong experience with Java and/or Node.js and Python.
• Hands-on experience developing Agentic AI / AI agent solutions.
• Practical experience with LLMs, prompt engineering, and AI application development.
• Experience integrating LLMs/AI agents with APIs, enterprise systems, or external tools.
• Strong experience with AWS and cloud-native application development.
• Experience with CI/CD pipelines.
• Experience with REST APIs and database technologies/SQL.
• Experience with automated testing and production debugging.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with workflow orchestration platforms.
• Experience with RAG, embeddings, vector databases, or semantic search.
• Experience with AWS DynamoDB.
• Experience with Snowflake and data integration.
• Experience with Salesforce integrations.
• Experience with OWS/OEDQ.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.