Negotiable
Outside
Hybrid
United Kingdom
Summary: The role of Contract AI Engineer at Conquer AI involves designing and building production-grade AI systems for enterprise clients, focusing on LLMs, RAG, and workflow automation. This position requires a strong software engineering background combined with applied AI experience, emphasizing practical delivery over research. The contract is classified as outside IR35 and offers a hybrid working arrangement. The ideal candidate will have experience in integrating AI into business workflows and developing reliable backend services.
Key Responsibilities:
- Design and build real-world systems using LLMs, RAG, and agentic AI.
- Develop AI-powered applications and workflow automation solutions.
- Architect vector databases and retrieval pipelines.
- Implement document intelligence and information extraction systems.
- Integrate AI systems into business workflows and backend services.
- Work on greenfield client projects and internal product development.
Key Skills:
- Strong machine learning experience.
- Traditional software engineering background.
- Proficiency in Python, Node.js, and TypeScript.
- Experience with LLMs, RAG, and vector databases.
- Knowledge of agentic AI systems and workflow automation.
- API integrations and backend engineering skills.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Contract AI Engineer | Outside IR35 | Agentic AI / LLMs / RAG
Conquer AI is hiring a Contract AI Engineer
We’re looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You’ll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation. This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software.
What you’ll be working on:
- Agentic AI workflow automation
- LLM-powered applications
- RAG and knowledge systems
- Vector database architecture and retrieval pipelines
- Document intelligence and information extraction
- AI systems that connect into business workflows
- API integrations and backend services
- Greenfield client projects and internal Conquer AI product work
Core skills we’re looking for:
- Strong machine learning experience
- Strong traditional software engineering background
- Python
- Node.js
- TypeScript
- LLMs
- RAG
- Vector databases
- Agentic AI systems
- Workflow automation
- API integrations
- Backend engineering
You’ll be a strong fit if you:
- Have built real AI systems beyond prototypes
- Can design and ship reliable backend services
- Understand retrieval, ranking, chunking, embeddings, and evaluation
- Have experience integrating LLMs into business workflows
- Can work with ambiguity and move quickly
- Are comfortable working with client-facing teams
- Can turn vague business problems into working technical solutions
- Care about practical delivery, not just experimentation
Nice to have:
- Experience with AWS, Azure, or GCP
- Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar
- Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar
- Experience with document processing, OCR, structured extraction, or enterprise search
- Experience in consulting, enterprise delivery, SaaS, or startup environments
About Conquer AI
Conquer AI builds bespoke agentic AI systems for enterprise clients. We work with clients to understand their workflows, identify where AI can automate or augment work, and build practical systems that operate inside their existing environment. Our work spans document intelligence, workflow automation, knowledge retrieval, operational copilots, AI agents, data extraction, and enterprise integrations.
Contract: Outside IR35
Location: UK-based preferred
Working style: Hybrid / remote, with occasional client or team sessions
Start: ASAP
Engagement: Contract
If you’re a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we’d like to speak with you.