Agentic AI Consultant

Crewai
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 75K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Business Process Model and Notation
Python
Machine Learning
Open Source Technology
TensorFlow
PyTorch
React
Large Language Models
Multi-Agent Systems
HuggingFace

Job description

Theyre looking for an AI Practitioner to join their growing team, specialising in Agentic AI

autonomous systems capable of reasoning, planning, and collaborating with humans.

Youll bring deep technical expertise and a passion for applying advanced AI techniques to solve real-world public-sector challenges.

This role is ideal for someone with a MSc / PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting.

Youll work with their consultants, engineers, and designers to prototype and deliver intelligent orchestration solutions that bring measurable impact.

The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London.

Responsibilities

Design, develop, and deploy agentic AI systems that support autonomous reasoning and decision-making

Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases

Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations

Implement and fine-tune models for language understanding, decision automation, and data insight generation

Evaluate and integrate open-source and commercial AI frameworks into orchestration workflows

Ensure AI solutions are explainable, auditable, and compliant with public- sector governance standards

Advise on AI strategy, ethical use, and adoption roadmaps for clients

Contribute to internal R&D, thought leadership, and Cascis AI propositions, Profile 29 recruitment keywords : Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI / ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector AI standards BPMN DMN process orchestration workflow automation platforms AI research SC DV eDV London home based hybrid remote

Requirements

Deep understanding of AI and machine learning principles (preferably with a MSc or equivalent experience)

Hands-on experience building and deploying Agentic AI or multi-agent systems

Proficiency in Python and popular AI / ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face)

Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques

Experience integrating AI models into production systems or orchestration platforms

Strong analytical and problem-solving skills, with the ability to translate research into practical outcomes

Excellent written and verbal communication, able to explain complex AI concepts to non-technical audiences

Experience working in, or consulting for, UK public-sector organisations

Must be eligible and prepared to go through SC Security Clearance

Desirable

Knowledge of agent architectures (e.g., ReAct, AutoGen, CrewAI, BabyAGI, or similar frameworks)

Experience designing reasoning loops, memory systems, and tool-using AI agents

Understanding of ethical AI, governance frameworks, and public-sector AI standards

Familiarity with BPMN / DMN, process orchestration, or workflow automation platforms

Experience contributing to AI research, publications, or open-source projects

Holds UK security clearance (SC, DV, eDV)

Benefits & conditions

A company option scheme gives their employees a stake in the organisation theyre building

meaningful missions. Tackle high-impact public-sector problems that improve services millions rely on.

Hybrid working, flexible working between their London office, client offices and your home location.

Outputs over optics. They focus on what gets delivered, not hours online.

Working shoulder-to-shoulder with founders. Learn from experienced practitioners in a nurturing, hands-on environment.

Shape their organisation. your fingerprints will be on their company as it grows.

Autonomy by default. They empower their people to do whats needed.

Sociable, low-ego, dynamic engagements. No big-firm stiffness or needless bureaucracy.

Professional Development. They invest in their people through training and certifications.

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