Forward Deployed Agentic Engineer

Forward deployed agentic engineer (contractor, remote) Financial institutions already have capable AI tools. What they tend to lack is teams who can use them to their full potential, and robust, reliable workflows with effective guardrails, governance and safety embedded. This role covers both: building the client's capability, and co-designing the agentic workflows that matter most. 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. What you'll do Build client capability Help technical and non-technical teams get real value from the AI tools already available to them. This is hands-on enablement, not slideware Run working sessions with business stakeholders, pair with client engineers, and translate between the two Co-design and ship agentic workflows Work closely with clients to understand their requirements and turn them into AI-driven workflows and decision intelligence systems, starting where the impact is largest Design and implement back-end services, and integrate agentic AI components with existing client systems, covering APIs, microservices and secure system integration Keep solutions inside regulatory, security and auditability standards: data boundaries, model risk, audit trails Write clean, maintainable code, review code, troubleshoot production issues, and optimise for reliability and scalability Document technical designs, support deployment on client infrastructure (cloud or on-prem), and coordinate with our product and data teams Who this suits Must have A strong computer science foundation in algorithms, data structures and systems design, from a degree in CS, engineering or a related field, or from equivalent practical experience Hands-on back-end and software development experience in production environments, with proficiency in at least one modern language (Python, Go, Rust or similar) and solid OOP skills Experience building or integrating AI/ML or agentic systems, especially in data-intensive or regulated domains Familiarity with cloud or on-premises infrastructure, APIs, microservices and secure system integration Comfort working directly with clients. You can gather requirements yourself, turn business needs into technical solutions, and hold your own with both business teams and client engineers Strong written and verbal communication, attention to detail, and comfort in a remote, distributed team Nice to have Experience in financial services, risk, compliance or enterprise B2B software Experience delivering training or enablement to technical or non-technical audiences Engagement terms Contractor arrangement, fully remote, with overlap on client time zones Project-based blocks running from a few weeks to a few months, part-time or full-time depending on the engagement Engagements can be adjusted, extended or shortened based on performance and client requirements Quote your hourly or day rate when you apply Why join You work at the point where agentic AI actually gets adopted in a regulated industry, with capability building and deployment in the same engagement. You also get a pipeline of financial institution engagements instead of one-off gigs, and a network of domain experts to build alongside. How to apply Apply with your CV with a short note on the most substantial agentic system you have shipped and the audiences you have enabled, and your rate. We consider all qualified applicants without regard to legally protected characteristics, and we provide reasonable accommodations on request.