> Markdown version of [/jobs/ext/623327-golang-senior-developer](https://www.wearedevelopers.com/jobs/ext/623327-golang-senior-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Golang Senior Developer - **Company:** HCL America Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $107,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Software Quality, Cursor (Graphical User Interface Elements), Github, Integrated Development Environments, Python (Programming Language), Node.Js, NoSQL, Performance Tuning, SQL Databases, TypeScript, Cloud Platform System, ReactJS, Large Language Models, Spring-boot, Generative AI, Build Management, AI Platforms, Kubernetes, Non-relational Database, Virtual Agents, Golang, Microservices - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f5bda112c5bbfc27 ## About the Role 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. ## Description 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 ## Related Videos - [Agentic AI in Go](https://www.wearedevelopers.com/videos/100274-agentic-ai-in-go) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)