Opus Recruitment Solutions

Agentic AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Agentic AI Engineer on a 12-month contract, fully remote, outside IR35. Key skills include Agentic AI architecture, LLMs, Generative AI, Python, and PySpark. Experience in MedTech or Financial Services is desirable.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 26, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Spark (Apache Spark) #AI (Artificial Intelligence) #Scala #Data Processing #PySpark #Python
Role description
Agentic AI Engineer – Outside IR35 | Fully Remote | 12-Month Contract | Role: Agentic AI Engineer Location: Fully Remote Contract Length: 12 months IR35 Status: Outside IR35 I'm working with an innovative MedTech organisation at the forefront of AI-driven healthcare solutions. They are looking for a highly skilled Agentic AI Engineer to join their team on a long-term contract and help scale cutting-edge intelligent systems. Key Responsibilities • Design and build agentic AI systems using modern LLM frameworks • Develop and deploy Generative AI solutions across production environments • Work with structured and unstructured data using Python & PySpark • Implement Claude Code / LLM-based workflows for real-time decision-making • Collaborate with cross-functional teams to integrate AI capabilities into existing platforms • Ensure solutions are scalable, reliable, and aligned with regulatory requirementsKey Skills & Experience • Strong experience with Agentic AI architectures • Hands-on expertise with LLMs (e.g. Claude, OpenAI, etc.) • Proven background in Generative AI (GenAI) • Advanced proficiency in Python and PySpark • Experience working with Claude Code or similar LLM orchestration tools • Strong engineering mindset with experience deploying into production environmentsDesirable • Experience working within Financial Services (highly regulated environments) • Exposure to MedTech / Healthcare projects • Experience with distributed data processing and large-scale pipelines