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.

• GitSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• 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

Expérience minimale

2+ ans

Postuler avant le

3 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte