Full Stack Engineer (Java & Python AI)
Confidential
Makati, National Capital Region, PhilippinesPosted 10 days agoLinkedIn
Setup
On-site
Type
Full-time
Level
Senior
Salary
Not listed
Closes
Open
Skills mentioned
ReactAngularPythonJavaRedisREST APIsDockerKubernetesCI/CD
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About the role
We are seeking an engineer who is exceptional in Java Springboot, experienced with web frameworks (Flask, Fast
API, 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.
Key Responsibilities
- Backend & API Development: Build robust backend services and APIs using Java Spring Boot and Python frameworks like Flask, Fast
API, or Django.
- GenAI & Agentic Solutions: Design and implement Large Language Model (LLM) features, Retrieval-Augmented Generation (RAG) pipelines, memory systems, prompts, and agentic workflows.
- Full-Front-End Work: Create user interfaces with React or Angular.
- Data & Infrastructure: Handle vector stores, embeddings, caching, and secure data connectors.
- Quality & Testing: Manage testing using PyTest, integration tests, CI automation, and implement AI guardrails and observability.
Qualifications
- 10+ years of software engineering experience in designing, developing, troubleshooting, and supporting large, complex systems.
- Strong Java/Spring Boot Microservices expertise – 5+ years of microservices development and 3+ years of Spring Boot, with hands-on experience in REST/JSON APIs and object-oriented design.
- Advanced Python backend development – 5+ years of Python experience, including Flask/ FastAPI/ Django, API design, asynchronous programming, testing, packaging, and performance optimization.
- GenAI / Agentic AI experience – At least 1 year of hands-on experience with LLMs, RAG, agentic workflows, tool/function calling, MCP, embeddings, guardrails, and frameworks such as LangGraph/LangChain or Crew
AI.
- Full-stack, cloud, and DevOps capabilities – 3+ years with React or Angular, plus experience with Docker, Kubernetes, CI/CD, Kafka, databases/vector DBs, Redis, cloud infrastructure, and observability.
Sourced from LinkedIn · posted 10 days ago · you apply on the original site