Senior Software Engineer – AI, Enterprise Systems

Responsibilities

• Design, build, and deliver APIs, microservices, and cloud‑native applications
• Own end‑to‑end development across the full lifecycle
• Drive modernization (API‑first, cloud, containers)
• Design and implement agentic AI systems for autonomous workflows and decision‑making
• Build and integrate AI agents (LLM‑based or hybrid) into enterprise use cases (automation, orchestration, defect resolution)
• Leverage frameworks like Lang Chain, Lang Graph, Semantic Kernel, or similar
• Develop RAG pipelines, vector‑backed solutions, and knowledge‑grounded systems
• Build capabilities for context management, memory, and orchestration layers
• Enable human‑in‑the‑loop workflows for governance and continuous learning
• Ensure observability, guardrails, and performance optimization (latency, cost, reliability)
• Build scalable, secure, and observable system integrations
• Drive code quality, CI/CD, and operational excellence
• Collaborate across Agile teams and provide technical leadership

• 5+ years building enterprise applications with strong backend expertise (Java, Spring Boot, APIs, microservices)
• Experience with cloud platforms, CI/CD, containers (Docker/Kubernetes), and messaging systems (Kafka, MQ)
• Strong foundation in distributed systems, system design, and testing practices
• Exposure to AI/ML or GenAI (LLMs, RAG, automation, or AI‑assisted development)
• Experience working in Agile environments

• APIs
• microservices
• cloud‑native applications
• Java
• Spring Boot
• Docker
• Kubernetes
• Kafka
• RAG pipelines
• AI/ML

• technical leadership
• collaboration
• end‑to‑end development
• governance
• continuous learning