Golang Senior Developer

Design and develop scalable backend services using Go and Python Build and deploy agentic systems (agents, tools, orchestration workflows) Develop solutions leveraging LLMs, RAG pipelines, and AI-driven applications Integrate AI services with enterprise data systems (SQL & NoSQL) Implement and optimize microservices architecture in cloud environments Work with cross-functional teams to deliver production-ready AI solutions Ensure code quality, performance optimization, and system scalability

Do you have experience in TypeScript?, We are seeking 4 Software Developers proficient in Go and Python to design and develop services for agentic data applications. Key requirements include:

Technical Expertise : Proven experience building agentic systems (agents, tools, and orchestration frameworks like ADK or LangGraph). AI/DB Skills : Recent experience with Generative AI technologies, evaluation frameworks, and working with both SQL and non-relational databases. Environment : Prior experience within the Google internal development environment ( google3 ) and/or GitHub is highly preferred for all resources. Logistics : Must be available for at least 4 hours of daily overlap with US PST hours., Candidates must be proficient in Go and Python to design and develop services for agentic data applications., Technical Expertise : Proven experience building agentic systems (agents, tools, and orchestration frameworks like ADK or LangGraph). AI/DB Skills : Recent experience with Generative AI technologies, evaluation frameworks, and working with both SQL and non-relational databases. Environment : Prior experience within the Google internal development environment ( google3 ) and/or GitHub is highly preferred for all resources. Logistics : Must be available for at least 4 hours of daily overlap with US PST hours. Other Requirements

Here are additional sample skillsets for this role: Core Technical Stack Languages: Primary expertise includes Python, Java (Spring Boot), React.js, Node.js, and TypeScript. Infrastructure: Deep knowledge of AWS, GCP (Vertex AI), Cloud-Native Systems, and Microservices.

AI & Agentic Frameworks Foundations: Expertise in Generative AI, LLMs, RAG, and NLP. Orchestration: Experience with Agentic AI systems, LangChain/LangGraph, and the MCP (Model Context Protocol) framework. Tools: Proficiency in AI coding assistants such as Claude Code and Cursor.