Developer/ Lead

Lorven Technologies Inc
San Leandro, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Leandro, United States of America

Tech stack

Clean Code Principles
Java
API
Artificial Intelligence
Cloud Engineering
Code Generation
Programming Tools
Python
Key Management
OAuth
Object-Oriented Software Development
OpenID
JSON Web Token
Secure Coding
Service Development Studio
Software Deployment
Software Engineering
Google Cloud Platform
Real Time Systems
React
Large Language Models
Spring-boot
Backend
Event Driven Architecture
Build Management
Angular
Kubernetes
Information Technology
Apache Flink
Kafka
Front End Software Development
Virtual Agents
REST
gRPC
Docker
Microservices

Requirements

Required Skills: Sr. Developer/ Leads with Java, Python + Google ADK, comfortable working with LLMs, MCP, building Agents, generating code, * Bachelor's degree in information technology or software engineering.

  • Strong Java backend engineering (Java 17+, Spring Boot, microservices, REST/gRPC).
  • Strong Python engineering (OOP, typing, async patterns, packaging) and service development.
  • Design and build secure, scalable backend services in Java (Spring Boot) and Python, and deliver production-grade AI agent capabilities using Google Agent Development Kit (ADK).
  • Hands-on experience building agents and workflows with Google ADK (agents, tools, sessions/memory).
  • Comfort working with LLMs: tool/function calling, structured outputs, prompt & context engineering, safety considerations.
  • Understanding of MCP concepts (resources, tools, prompts; client-server model) and ability to integrate tools using MCP or standard APIs.
  • Ability to produce high-quality code with AI-assisted code generation, plus strong review/verification and testing discipline.
  • Security fundamentals: OAuth2/OIDC, JWT, secure coding, secrets management; familiarity with mTLS/cert management is a plus.
  • Cloud-native fundamentals: Docker, Kubernetes; CI/CD pipelines; basic monitoring/observability.
  • LangChain/LangGraph or similar orchestration frameworks; experience combining them with ADK where useful.
  • Vector DB experience and RAG evaluation practices.
  • Google Cloud Platform/Vertex AI (or other cloud LLM hosting) and production deployment patterns (Cloud Run/Agent Engine).
  • Kafka/Flink or event-driven architectures for real-time systems.
  • Front-end exposure (React/Angular) for agent-driven UIs or developer tooling.

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