Artificial Intelligence Engineer

Required Hands-on experience building agentic AI systems, including multi-step reasoning, tool/function calling, and orchestration Proficiency with at least one agentic framework (e.g., LangGraph, LangChain, AutoGen, CrewAI, or equivalent) Strong working knowledge of LLMs: prompt engineering, RAG, context management, and evaluating/validating model output Experience parsing and transforming structured/unstructured documents (e.g., Word/.docx to markup formats) Ability to design, test, and iterate on agent reliability and accuracy Familiarity with version control in a hardware context (Git/Perforce) Nice to have ASIC / digital hardware design background, or familiarity with hardware development workflows and documentation Experience with AsciDoc, DocBook, or other technical documentation markup

The role involves building and orchestrating agentic AI systems with multi-step reasoning and tool calling capabilities. The engineer will also design and iterate on agent reliability while transforming structured and unstructured documents into markup formats.

Candidates must be proficient in agentic frameworks like LangChain or AutoGen and have strong knowledge of LLMs and RAG. Experience with version control and a background in ASIC or digital hardware design is preferred.

• GitPreferred

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• Agentic AI Systems
• Multi-step Reasoning
• Tool Calling
• LangGraph
• LangChain
• AutoGen
• CrewAI
• Large Language Models
• Prompt Engineering
• RAG
• Context Management
• Document Parsing
• Git
• Perforce
• ASIC Design
• Technical Documentation

• Software
• Technology
• Engineering
• Data & Analytics
• Consulting

Minimum experience

2+ years

Apply by

Sep 3, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available