Data Science AI Engineer

• Design and deploy robust AI agents
• Build AI agents and multi-agent systems
• Fine-tune LLMs for smarter agents
• Evaluate multi-agent pipelines using an LLM as a judge against ground truth
• Deliver AI solutions end-to-end
• Set up evaluation frameworks
• Integrate agentic solutions on GCP while ensuring performance and security

Requirements

• Expert Python skills, including NumPy and Pandas
• Experience with AI agent design and frameworks, including ADK, LangChain, and AutoGen
• Strong machine learning, deep learning, and statistics background
• Hands-on experience with LLMs and generative AI
• Knowledge of GCP, Vertex AI, BigQuery, and MLOps is a bonus
• Ability to work inside IR35
• Availability to start ASAP
• Availability for a 6-month engagement

Core Competencies

Demonstrates expertise in designing and deploying AI agents and multi-agent systems, with a strong foundation in Python, machine learning, and deep learning. Proficient in integrating solutions on GCP and fine-tuning LLMs for optimal performance.

Highest-signal resume keywords

• Expert Python Skills
• AI Agent Design
• LLM Fine-Tuning
• GCP Integration
• Machine Learning

Hard Skills

• Python
• NumPy
• Pandas
• Machine Learning
• Deep Learning
• Statistics
• LLMs
• Generative AI
• AI Agent Frameworks
• MLOps

Industry Keywords

• AI Solutions
• Multi-Agent Systems
• Evaluation Frameworks
• Performance Security
• IR35 Compliance

Tools & Technologies

• GCP
• Vertex AI
• BigQuery
• LangChain
• AutoGen