AI/ML Agent Engineer — Back-End Focus

Requirements

• 2–5 years of professional experience in back-end engineering with Java and Spring Boot.
• Practical experience integrating LLMs (OpenAI, Claude) into services; understanding of agentic workflows and tool/function orchestration.
• Familiarity with MCP and implementation of clients/servers, plus OpenAI spec-driven tool definitions.
• Experience with REST/GraphQL APIs, data modeling, and message/event systems (e.g., Kafka/SQS).
• Exposure to GitHub APIs/Actions, Cline, and Claude model integrations.
• Solid grasp of testing, CI/CD, and cloud deployment patterns.

Preferred Qualifications

• Experience with RAG, embeddings, or lightweight vector stores; caching and rate-limiting for cost/perf control.
• Knowledge of security for AI services: prompt injection defenses, input validation, and secret management.
• Observability with Datadog/OpenTelemetry or similar; performance tuning in JVM/Spring.

What You'll Be Doing

• Develop Spring Boot microservices that orchestrate LLM-powered agents using OpenAI specs and MCP (clients/servers, tool schemas).
• Implement tool execution layers, function calling, retries, guardrails, and safety checks for robust agent behavior.
• Build APIs and event-driven pipelines for agent requests, context assembly (RAG/embeddings), and result streaming.
• Integrate with GitHub (webhooks, Actions, PR review bots), Cline workflows, and Claude endpoints for developer-focused automations.
• Manage configuration, secrets, and access control; ensure compliance with internal security standards and least-privilege design.
• Add observability: logs, metrics, traces, and run metadata; create dashboards for reliability and performance.
• Write comprehensive tests (unit/integration), automate builds/deployments, and maintain documentation for specs and service contracts.
• Collaborate with front-end and platform teams to deliver end-to-end features; participate in design and code reviews.

Perks and Benefits

• Competitive junior-level compensation with benefits. Final level and pay depend on experience and interview performance.