At a Glance
- Tasks: Design and build real-world AI systems using cutting-edge technologies.
- Company: Conquer AI, a leader in bespoke agentic AI solutions for enterprises.
- Benefits: Flexible remote work, competitive pay, and exciting greenfield projects.
- Other info: Join a dynamic team with opportunities for growth and collaboration.
- Why this job: Make a real impact by creating innovative AI systems that transform businesses.
- Qualifications: Strong software engineering and applied AI experience required.
The predicted salary is between 50000 - 70000 £ per year.
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.
Remote C# Engineer employer: Conquer AI
At Conquer AI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility while engaging in cutting-edge AI projects that have a real impact on enterprise clients. We offer ample opportunities for professional growth, encouraging our engineers to develop their skills in a supportive environment where practical delivery is valued over mere experimentation.
StudySmarter Expert Advice🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering space. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have a lead on that perfect contract role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving LLMs, RAG, or workflow automation. This will give potential employers a taste of what you can do and how you can contribute to their greenfield projects.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We’re always on the lookout for talented engineers like you. Plus, applying directly can sometimes give you a better shot at getting noticed by hiring managers.
✨Tip Number 4
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've turned vague business problems into working technical solutions. Show them you can think on your feet and deliver practical results!
We think you need these skills to ace Remote C# Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI systems and backend engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Real-World Experience:We’re looking for someone who has built real AI systems, not just prototypes. Be sure to include specific examples of your work that demonstrate your ability to deliver practical solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Conquer AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Node.js, and LLMs. Brush up on your knowledge of vector databases and API integrations, as these will likely come up during the interview.
✨Showcase Real Projects
Prepare to discuss specific projects where you've built AI systems beyond prototypes. Highlight your experience with workflow automation and how you've integrated AI into business processes. Concrete examples will demonstrate your hands-on capabilities.
✨Understand the Business Context
Familiarise yourself with how AI can solve real-world business problems. Be ready to explain how you can turn vague business challenges into technical solutions, showcasing your ability to work with client-facing teams.
✨Embrace Ambiguity
Since this role requires quick problem-solving in ambiguous situations, be prepared to discuss how you've navigated uncertainty in past projects. Share strategies you’ve used to move from problem definition to working software efficiently.
