abra is seeking for an AI Engineer!
Key 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.
Requirements:
- 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.
Nice to Have:
- 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.
Sign in with Google
Python
SQL
Elasticsearch
PostgreSQL
Power BI
Tableau
Docker
