Golang Senior Developer

HCL America Inc.

Austin, TX, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$107,000.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

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

+14 more

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

Job 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

Requirements

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.