Rayify
Agentic AI Technical Trainer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Technical AI Trainer (Contractor, Remote and On-Site)
Teaching engineers to build agentic systems is not the same as demoing them. It takes someone who has built and shipped the thing, and who can then take a room of engineering, IT and research staff from first principles to working systems, live, in the client's environment, on their keys. Rayify delivers technical AI training to financial institutions, and we are looking for contract trainers who can run that room.
About Rayify
Rayify designs agentic AI workflows and decision intelligence systems for regulated financial services, covering insurance, credit and private markets. Our systems deploy inside clients' own infrastructure and train on their proprietary data. We build them to be auditable for boards and regulators, so outputs stay traceable and secure and clients can manage risk while still getting insight from their data.
To keep in touch, follow Rayify on LinkedIn: https://www.linkedin.com/company/rayify
What You'll Do
- Deliver our technical workshop track to engineering, IT and research teams at financial institutions: hands-on sessions running from two hours to full build days, virtually and in person
- Run live builds and demos in front of technical audiences, covering agents, orchestration, tool use, retrieval and guardrails
- Adapt each session to the client's stack, sector and workflows, including custom workflow automation engagements where you map priority operational challenges and build against their infrastructure
- Feed what you learn in the room back into the curriculum
The Workshops You'll Deliver
We teach across the major agent ecosystems: Anthropic (Claude Code, the API and the Agent SDK), Microsoft, OpenAI, and open-weights models for clients who need everything to run inside their own environment. The choice follows the client's existing estate, and the principles transfer between all of them. You do not need to cover every ecosystem or every workshop. Tell us where you are strongest.
Reasons to use Rodeo
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.
It 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.
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.
- Coding agents for engineering teams: turning a general-purpose coding agent such as Claude Code, GitHub Copilot or Codex into a team's tool, with scoped sub-agents, skills and shared memory
- Sub-agent orchestration and observability: custom sub-agents, orchestration patterns, and observability with telemetry for teams working interactively in a coding agent
- Code-driven agent orchestration: reliable, stateless multi-agent architectures built on the major agent SDKs, including linear sequences, concurrent execution and smart routing
- RAG and context engineering: building RAG pipelines, optimising retrieval quality beyond naive search, and context engineering techniques
- Self-hosted and open-weights deployment: choosing and serving open-weights models inside the client's own infrastructure, and what changes about orchestration, tool use and evaluation when you do
- Agentic governance, guardrails and security: the agentic threat landscape, enforceable security controls, and red-teaming methodologies for autonomous systems
- Evaluating agentic systems (coming soon): designing eval sets for agents rather than chatbots, covering task and grader design, rubrics and LLM-as-judge, trajectory and tool-call evaluation, regression testing, and turning eval results into a go/no-go signal that model risk and security review will accept
- Custom workflow automation and engineering hackathons: half-day to full-day builds against client infrastructure, deployed live where access allows, with closing demos and peer review
Who This Suits
Must Have
- You have shipped LLM or agentic systems, not just prototyped them ideally within financial services institutions: agent orchestration, tool use and MCP, retrieval, evaluations, guardrails
- Deep hands-on fluency with the Claude ecosystem, meaning Claude Code, the API and the Agent SDK, plus strong Python or TypeScript
- A track record of delivering hands-on technical training to engineering audiences, in workshops and live builds rather than talks
- Comfort building live in an unfamiliar client environment, and recovering gracefully when the demo gods misbehave
- Exceptional communication skills. You can pitch the same material to a staff engineer and to a technically curious operations lead, and translate between them
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Financial services or other regulated-industry experience: security review, data boundaries, audit trails
- Experience designing evaluations for agentic systems
- Depth in agentic security, including threat modelling, red-teaming and enforceable controls
- Experience developing training curricula as well as delivering them
Engagement Terms
- Contractor arrangement, booked per session or per day
- Remote and on-site delivery
- We invite applicants from around the world
- Quote your hourly or day rate when you apply
Why Join
You get regular paid delivery into financial institutions without having to build a curriculum from scratch. You also join a network of domain experts and engineers, where training engagements often lead into deployment work.
How to Apply
Apply with your CV, GitHub or LinkedIn, a note on the audiences you have trained and the most substantial agentic system you have shipped, and your rate.
To keep in touch, follow Rayify on LinkedIn: https://www.linkedin.com/company/rayify
We consider all qualified applicants without regard to legally protected characteristics, and we provide reasonable accommodations on request.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location