Golang Senior Developer

Job Summary

Role Overview:

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 Lang Graph).

• 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.

Key Responsibilities

Key Responsibilities

• 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

Skill Requirements

Candidates must be 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 Lang Graph).

• 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, Lang Chain/Lang Graph, and the MCP (Model Context Protocol) framework.
Tools: Proficiency in AI coding assistants such as Claude Code and Cursor.