Senior Software Engineer
- Compensation
- Not disclosed
- Location
- Bengaluru, KA, in
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Experience - 2–4 years of professional experience in backend/full-stack development
- Core Backend - Strong proficiency in Node.js Java (11+), Spring Boot, and Hibernate/JPA
- APIs - Hands-on experience designing and integrating RESTful APIs and webhook-based integrations
- Cloud (AWS) - Working knowledge of AWS services — EC2, S3, Lambda, SQS/SNS, EventBridge,API Gateway, Cognito
- Agentic AI - Experience building or integrating with autonomous AI agent systems — multi-step workflows, tool-use patterns, agent orchestration, state management
- Generative AI - Hands-on experience with LLM APIs (AWS Bedrock, OpenAI, Anthropic, orsimilar) — prompt engineering, function calling, structured output parsing
- Databases - Proficiency with relational databases (PostgreSQL, MySQL) — schema design,query optimization
- Architecture - Understanding of event-driven and microservices architecture patterns
- Problem-Solving - Excellent analytical, problem-solving, and communication skills
Full description
We are looking for an experienced UI and Front End Developer ( React.js + Node.js) with strong expertise in backend development, cloud technologies, and emerging AI-powered automation. The ideal candidate will have hands-on experience
building scalable applications using Java, Spring Boot, and Hibernate, along with deep exposure to AWS
Cloud services and practical experience designing, developing, or integrating with Agentic AI systems —
autonomous AI agents that plan, reason, and execute multi-step workflows with minimal human
intervention.
Core Development
Design, develop, and maintain robust backend applications using Java, Spring Boot, and Hibernate
Build and integrate RESTful APIs and event-driven services for seamless communication between
microservices and AI agents
Deploy and manage applications on AWS Cloud infrastructure
Ensure code quality, performance optimization, and adherence to best practices
Agentic AI & Generative AI
Design and implement AI agent workflows — building autonomous agents that can plan, execute multi-
step tasks, invoke tools, and handle exceptions without constant human oversight
Develop agent orchestration patterns — manage agent-to-agent handovers, state persistence, retry
logic, and fallback strategies in multi-agent systems
Integrate with foundation model APIs (AWS Bedrock, OpenAI, or equivalent) for LLM-powered reasoning,
decision-making, and natural language understanding within agent pipelines
Build tool-use and function-calling interfaces that allow AI agents to interact with databases, APIs,
document stores, and external services
Implement human-in-the-loop patterns — confidence thresholds, escalation triggers, and approval
workflows where agents defer to humans on low-confidence decisions
Develop event-driven agent architectures using message queues (SQS/SNS, EventBridge, or Kafka) for
async agent communication and workflow orchestration
Collaboration & Quality
Collaborate with cross-functional teams (product, data science, QA) to deliver high-quality AI-powered
solutions
Participate in prompt engineering, agent behavior tuning, and accuracy evaluation
Contribute to AI-assisted development workflows using tools like Kiro, Copilot, or similar AI IDEs