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JOB-897387 Software Engineering & Platforms

Full Stack Engineer (Java and Python AI)

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The Opportunity

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.

What you'll do

  • Lead Offshore Engineering Team – Lead offshore engineers and ensure successful delivery of AI initiatives and iterations.
  • Develop Backend & APIs – Build backend services using Spring Boot and Python (Flask/FastAPI/Django), including APIs, background jobs, and integrations.
  • Develop & Maintain GenAI Solutions – Design and implement GenAI features, RAG pipelines, prompts, tools, memories, and agentic workflows.
  • Ensure Quality & Production Readiness – Own testing using PyTest, integration/contract tests, and CI automation, while implementing AI guardrails, observability, and fallback strategies.
  • Build Full-Stack & Data Solutions – Develop React/Angular UIs and work with vector stores, embeddings, caching, and secure data connectors, while collaborating with product/design/platform teams and mentoring engineers.

What you'll bring

  • 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 CrewAI.
  • 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.

AI Fluency Expected

At Myridius, we expect AI fluency across all roles. This means the ability to effectively and responsibly use AI-enabled tools to improve productivity, quality, analysis, decision-making, documentation, testing, delivery, and problem-solving within one's function. All candidates should be comfortable working with AI as a day-to-day enabler while applying sound judgment, critical thinking, and accountability for outcomes.

Good to Have

  • LLM Observability

  • Guardrails

  • Vector database

  • Graph Database

Ready to make an impact?

Submit your application today and join the Myridius team.

Apply for this Position