- 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
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Data Science AI Engineer employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
