Job Description

Lattice Overview

There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality. Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.

Responsibilities & Skills

As an AI Toolchain Software Developer, you'll apply emerging agentic AI techniques to transform how we build software, from automated code generation and intelligent testing to AI-assisted code review and deployment. Working across DevOps, software development, QA, and ML research teams, you'll design and ship LLM-powered agents that streamline every stage of the development lifecycle. It's a hands-on role where you'll gain deep experience at the intersection of AI and software engineering, and see your work change how a real engineering organization ships products.

This is an in-person position with limited remote work possibilities.

Requirement

• Have a degree in Computer Science, Computer Engineering, or a related field with minimum of 2 years experience in industry.
• Proficiency in Python, with the ability to write clean, maintainable code for both prototyping and production environments.
• Working knowledge of AI and large language model concepts, including prompt engineering and tool calling.
• Strong problem-solving skills and a keen interest in agentic AI applications.
• Solid experience with version control systems such as Git.
• Familiarity with CI/CD pipelines, automated testing frameworks, or code review tooling.

Nice to haves

• Experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar platforms, and with tool-integration protocols such as MCP (Model Context Protocol).
• Familiarity with LLM APIs such as OpenAI, Anthropic, or open-source model serving solutions.
• Understanding of retrieval-augmented generation (RAG), vector databases, or knowledge retrieval techniques.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and scaling AI solutions.
• We would love to see any software development or AI projects and code you have worked on.