At a Glance
- Tasks: Build cutting-edge AI systems for sourcing and winning deals in finance.
- Company: Join Conquer AI, a leader in deploying AI solutions in enterprise workflows.
- Benefits: Competitive day rate, dynamic work environment, and opportunity to shape AI capabilities.
- Other info: Work closely with senior stakeholders in a fast-paced, innovative setting.
- Why this job: Be the first hire, set technical direction, and make a real impact in finance.
- Qualifications: 8+ years full stack experience with production AI/LLM systems in finance.
The predicted salary is between 60000 - 80000 โฌ per year.
Origination function, global alt asset manager Conquer AI is hiring a Senior AI Engineer on behalf of one of our clients, a global alternative asset manager building a brand new AI capability inside their Origination team.
Location: London, 4 days onsite
Contract: 12 months, Outside IR35
Day rate: DOE
The brief
Work directly with a Partner to build the AI systems behind how the firm sources, shapes and wins deals. First hire in, you set the technical direction, the patterns and the bar.
What you'll actually build
- Production RAG and agentic systems over deal docs, sponsor data and market intel
- LLM pipelines with real grounding, evaluation, citation traceability and refusal logic
- Hybrid retrieval (dense + sparse), proper chunking for structured content, calibrated confidence signals
- LangGraph orchestration, tool calling, MCP-style integrations across internal systems
- Full stack delivery, backend, data, integrations, the UI the deal team actually uses
Stack
- Python, Java/.NET, SQL, Azure (preferred), Kafka, microservices, Docker, CI/CD
- LLMs, RAG, vector DBs (Pinecone, pgvector, etc.), LangChain/LangGraph, embeddings, fine-tuning (LoRA/QLoRA welcome)
Bonus: Kubernetes, DealCloud or Salesforce integration
What we need from you
- 8+ years hands-on full stack
- Real production AI/LLM experience, you've shipped systems, debugged them at 2am, and have opinions about why fixed-token chunking destroys table data
- Capital markets or front-office tech background, IB, PE, alt assets, hedge funds
- Direct exposure to origination, coverage or deal teams
- Strong client/stakeholder presence, you can hold a room with senior business stakeholders
Particularly relevant experience
- Financial services or other complex regulated environments
- Workflow-heavy internal platforms
- Pipeline, approval, or operational decision-support systems
- CRM and enterprise data integrations, including Salesforce or DealCloud
- Systems where auditability, governance, and data controls really matter
The filter
The client has been clear: business domain fluency is non-negotiable. Brilliant AI engineers without front-office context aren't right for this one. If you can speak deal pipeline and ship production LLM systems, we want to talk.
Why join Conquer AI
At Conquer AI, we build and deploy AI and software systems into real enterprise workflows. We work closely with clients on high-value problems, moving from ambiguity to working systems quickly. That means we need engineers who are commercially aware, technically strong, and comfortable owning delivery.
This role is ideal for someone who enjoys building real systems, working closely with stakeholders, and operating in environments where quality, speed, and sound judgement all matter. If that sounds like you, we'd like to hear from you.
Senior AI Engineer (Origination Teams) in Slough employer: Conquer AI
At Conquer AI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our London-based team thrives on tackling high-value challenges in the finance sector, offering employees ample opportunities for professional growth and development while working directly with senior stakeholders. With a focus on building impactful AI systems, we provide a dynamic environment where your contributions are valued and recognised.
StudySmarter Expert Advice๐คซ
We think this is how you could land Senior AI Engineer (Origination Teams) in Slough
โจTip Number 1
Network like a pro! Reach out to your connections in the finance and AI sectors. Attend industry events or meetups, and donโt be shy about introducing yourself. You never know who might have the inside scoop on job openings.
โจTip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to AI and finance. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
โจTip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of the finance sector. Be ready to discuss how your experience aligns with the role and how you can contribute to their team.
โจTip Number 4
Apply through our website! Weโve got a streamlined process that makes it easy for you to submit your application. Plus, it shows youโre serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior AI Engineer (Origination Teams) in Slough
Some tips for your application ๐ซก
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your relevant experience in AI and finance, and donโt forget to showcase any projects that demonstrate your skills in building production systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why youโre the perfect fit for this role. Mention specific experiences that relate to the job description and show your enthusiasm for working with Conquer AI.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially those mentioned in the job description like Python, SQL, and Azure. Provide examples of how you've used these technologies in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you donโt miss out on any important updates from us!
How to prepare for a job interview at Conquer AI
โจKnow Your Tech Stack Inside Out
Make sure youโre well-versed in the technologies mentioned in the job description, like Python, Java/.NET, and Azure. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
โจDemonstrate Business Domain Fluency
Since the role requires a strong understanding of capital markets and origination processes, brush up on relevant terminology and concepts. Prepare examples from your past experiences that showcase your ability to navigate complex financial environments.
โจPrepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice explaining your approach to building AI systems, debugging issues, and ensuring data integrity. Being able to articulate your thought process will impress the interviewers.
โจShowcase Your Stakeholder Engagement Skills
This role involves working closely with senior business stakeholders. Prepare to share examples of how you've successfully communicated technical concepts to non-technical audiences and how youโve built relationships in previous roles.
