About the Company
We are looking for an engineer who will lead a team of Offshore Engineers and deliver successful iterations of AI initiative.
About the Role
A short paragraph summarizing the key role responsibilities.
Responsibilities
- Build backend services in Springboot, Python using Flask, FastAPI, or Django; design clean APIs, background jobs, and integrations.
- Develop user interfaces with React or Angular; collaborate on UX and component libraries; ensure accessibility and performance.
- Own quality with PyTest (including fixtures, parametrization, coverage), integration tests, and contract tests; enable CI test automation.
- Ship GenAI features: design prompts, tools, memories, and workflows, implement RAG pipelines, orchestrate agentic systems.
- Productionize AI with guardrails for safety, compliance, observability, and fallback strategies; measure quality (latency, cost, accuracy).
- Work across data layers: vector stores, embeddings, caching, and secure connectors; uphold data privacy and governance.
- Collaborate with product, design, and platform teams, review code, architect solutions, document decisions, and mentor peers.
Qualifications
- 10+ years of experience in design, development, and triaging for large, complex systems.
- Experience in Java and object oriented design skills.
- 5+ years of microservices development.
- 3+ years working in Springboot.
- Experienced using API dev tools like Intellij/Eclipse, Postman, Git, Cucumber.
- Hands on experience in building microservices based application using Springboot and REST, JSON.
- DevOps understanding – containers, cloud, automation, security, configuration management, CI/CD experience in streaming technologies like Apache Kafka.
Required Skills
- Gen AI
- Java Springboot
- Microservices
- Python & Backend 5+ years of experience
- Expert-level springboot and Python (typing, async, packaging, linting: black/ruff/flake8, performance profiling).
- Web frameworks: Flask, FastAPI, Django (routing, middleware, ORM, auth, background tasks).
- API design (REST/JSON), OpenAPI/Swagger, pagination, idempotency; secure patterns (OAuth/OIDC, JWT, RBAC).
- Frontend 3+ years of experience
- React or Angular: component design, state management, routing, forms, accessibility (WCAG), unit/e2e tests (Jest, Playwright).
- Build tooling: Vite/Webpack, npm/yarn
- GenAI / Agentic AI 1 year of experience
- LLM concepts: tokenization, context windows, embeddings, temperature/top-p, system prompts, tool/function calling.
- RAG: ingestion pipelines, chunking strategies, metadata, types of RAG (basic, hierarchical, hybrid, multi-vector, agent-routed), evaluators.
- Agents & Agentic AI: planning/execution loops, tool orchestration, memory, multi-agent collaboration, error handling.
- MCP (Model Context Protocol): designing tools/resources, host applications, capability negotiation, secure tool exposure.
- Guardrails: input/output filtering, policy enforcement, prompt-injection resilience, PII controls, jailbreak detection, red-teaming.
- Open-source frameworks: CrewAI, LangGraph/LangChain (nodes/edges, executors, runnables, toolkits). Familiarity with alternatives (Haystack, LlamaIndex) is a plus.
- Data & Infra 3-5 years of experience
- Vector DBs, Relational DBs (PostgreSQL, MySQL) and Caching (Redis).
- Cloud & DevOps: containers (Docker), orchestration (Kubernetes), CI/CD, secrets management; monitoring/observability (logs, traces, metrics).
- Performance & cost management for LLM workloads. Batch vs. streaming jobs. Queuing (MQ, Kafka).
Preferred Skills
- LLM Observability
- Guardrails
- Vector database
- Graph Database
