Java and Python AI Developer

Careernet

Manila

On-site

PHP 1,200,000 - 2,400,000

Full time

25 hours ago
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Job summary

Careernet in Manila seeks an engineer excelling in Java Springboot, with web frameworks and frontend skills, to deliver production-grade GenAI solutions.

You will lead an offshore team, design and operate services, implement RAG pipelines, and ensure guardrails, observability, and data governance.

Collaborate with product and platform teams, mentor peers, and drive high-quality software craftsmanship across the stack.

Qualifications

  • 10+ years designing, building, and triaging large systems.
  • Strong Java and OO design skills.
  • 5+ years microservices development.
  • 3+ years Springboot experience.
  • Experience with API development tools.
  • GenAI patterns and related tooling experience.

Responsibilities

  • Lead offshore engineering team and deliver AI initiatives.
  • Build backend services using Springboot and Python (Flask/FastAPI/Django).
  • Develop frontend with React or Angular and collaborate on UX.
  • Own quality with PyTest, integration tests, and CI automation.
  • Ship GenAI features: prompts, tools, memories, RAG pipelines.
  • Productionize AI with guardrails, observability, and governance.

Skills

Java & Springboot
Microservices
Frontend frameworks
GenAI patterns
Team leadership

Tools

IntelliJ/Eclipse
Postman
Git
Cucumber
Kafka
LangChain

Job description

  • We are seeking an engineer who is exceptional in Java Springboot, experienced with web frameworks (Flask, FastAPI, Django), comfortable building frontends (React, Angular), and capable of delivering production-grade GenAI solutions (LLMs, RAG, Agents/Agentic AI, MCP, guardrails). Candidate should be able to design, build, and operate services and applications that leverage modern AI patterns with strong software craftsmanship.
  • Lead a team of Offshore Engineers and deliver successful iterations of AI initiatives.
  • 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.
KEY SKILLS
  • 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, Postment, 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.
  • 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).
  • Frontend 3+ years of experience
  • React or Angular: component design, state management, routing, forms, accessibility (WCAG), unit/e2e tests (Jest, Playwright).
  • GenAI / Agentic AI 1 year of experience
  • RAG: ingestion pipelines, chunking strategies, metadata, types of RAG (basic, hierarchical, hybrid, multi-vector, agent-routed), evaluators.
  • MCP (Model Context Protocol): designing tools/resources, host applications, capability negotiation, secure tool exposure.
  • 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).
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