SR2 | Socially Responsible Recruitment | Certified B Corporation™
Lead Forward Deployed AI Engineer

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Forward Deployed Engineer - AI / Agentic Engineering
Location: Bristol / Hybrid (2x on-site)
Type: Permanent, Full-time
Salary: £80,000 - £90,000
SR2 is partnering with an exciting digital health technology company that works with pharmaceutical, biotech, and healthcare organisations to build AI and data-driven solutions addressing real-world challenges.
We're looking for a Forward Deployed Engineer who combines strong software engineering with hands-on experience building modern AI and agentic applications.
This is a builder-first role working closely with clients and product teams, taking ambiguous problems, turning them into something concrete, and then building, deploying, and owning the solution end-to-end.
What you'll be doing
- Work directly with business, technical, and product stakeholders to understand complex problems and determine what should be built.
- Rapidly turn ideas into working prototypes and production applications.
- Build full-stack applications, APIs, AI agents, and multi-step workflows.
- Develop primarily with Python and/or TypeScript.
- Build agentic applications using technologies such as LangGraph, AutoGen, Claude Agent SDK, and OpenAI Assistants.
- Integrate Claude, GPT, Gemini, and open-weight models with external tools, data, and systems.
- Work with MCP (Model Context Protocol) and custom connectors.
- Build RAG and retrieval pipelines using vector databases such as Pinecone, Chroma, Weaviate, and pgvector.
- Develop evaluation frameworks to measure AI accuracy, reliability, latency, and cost.
- Use modern AI development tools including Claude Code, Cursor, GitHub Copilot, and Codex.
- Deploy and own applications in production across AWS, Azure, Cloudflare, or Vercel.
- Work with Docker, Kubernetes, CI/CD, testing, security, and observability.
- Demo working software directly to stakeholders and iterate quickly based on feedback.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we're looking for
- 3+ years' relevant experience building production applications using AI/agentic development approaches.
- Strong commercial experience with Python and/or TypeScript.
- Hands-on experience building AI agents, rather than only working with prompted LLMs.
- Experience connecting models to tools and creating multi-step agentic workflows.
- Strong understanding of modern LLMs and Generative AI.
- Experience with RAG, vector databases, and retrieval pipelines.
- Practical experience building and using AI evaluation harnesses.
- Strong software engineering fundamentals including OOP, SOLID, clean architecture, and microservices.
- Experience deploying applications into cloud environments.
- Understanding of TDD, CI/CD, security, scalability, and observability.
- Confidence working directly with stakeholders and turning ambiguous requirements into working software.
- Evidence of things you've recently built - whether commercially, through GitHub, open-source projects, side projects, or your own products.
- A degree in Computer Science, Machine Learning, or a related technical discipline.


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Nice to have
- Healthcare or life-sciences experience.
- MLOps and model-serving experience.
- Data pipeline experience with technologies such as Spark, Airflow, Beam, or Glue.
- Public writing, talks, or contributions around AI engineering.
- Relevant AWS or cloud certifications.
Why consider it?
- Build at the forefront of AI and agentic software engineering.
- Take genuine ownership from problem discovery through to production.
- Work directly with clients rather than being several layers removed from the problem.
- Build technology tackling meaningful challenges across healthcare and life sciences.
- Join an organisation investing in its growing UK engineering capability.
- Work alongside experienced international engineering, product, and technology teams.
- Competitive compensation and opportunities for continued development.
Apply directly here or drop me your CV to adam.lockett@sr2rec.co.uk
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