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ABRA
AI

AI engineer

ABRA · M, IL

Actively hiring Posted 5 months ago

Responsibilities

  • Prompt Engineering & Optimization: Design, write, and optimize complex prompts (System Prompts, Chain-of-Thought) to maximize performance across various LLMs.
  • AI Agents Development: Build intelligent agents capable of executing multi-step actions, decision-making, and interaction with external systems.
  • RAG Systems: Design, implement, and maintain Retrieval Augmented Generation (RAG) architectures connecting models to organizational knowledge.
  • Python Development: Develop high-quality Python code, work with LangChain / LlamaIndex, and integrate AI solutions into company products.
  • Research & Evaluation: Explore new AI tools, evaluate model performance, and continuously improve AI outputs.

Basic qualifications

  • B.Sc. degree in Industrial Engineering & Management / Statistics / Mathematics / Data Science – required.
  • 2+ years of hands-on experience in development or data analysis, with a strong and proven focus on LLMs and Generative AI.
  • Strong Python skills with high-quality coding abilities – required.
  • Data extraction & analysis: Ability to write complex SQL queries for data preparation and analysis – required.
  • Proven experience in Prompt Engineering, working with LLMs (GPT, Claude, open-source models), and understanding model capabilities and limitations.
  • Hands-on experience with LangChain, LangGraph, or similar frameworks.
  • Strong self-learning ability and solid understanding of Machine Learning concepts.

Preferred qualifications

  • Experience with Elasticsearch or PostgreSQL.
  • BI tools experience (Power BI / Tableau / Qlik).
  • Familiarity with Docker and deployment tools.
  • Background in defense / intelligence environments.
  • Experience in improving business processes through AI-driven automation.

Tags & focus areas

Used for matching and alerts on DevFound
Ai Ai Engineer Data Science Generative Ai
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