Sr. AI/ML Platform Engineer

Future Secure AI (FSAI) · Full Time · Global Enterprise

About Us

Future Secure AI (FSAI) is a leading enterprise AI company created in deep partnership with one of the world's largest financial institutions. We believe humans and AI Workers will collaborate seamlessly to raise organisational performance. With C-suite relationships across global enterprises and dozens of industry partnerships worldwide, FSAI is on an extraordinary journey to transform how organisations deploy intelligent AI at scale.

The Opportunity

We are hiring a Senior AI/ML Platform Engineer to help build and evolve our AI-native platform - the foundation that powers enterprise AI Workers. This is a hands-on technical role at the intersection of AI systems engineering and enterprise platform development.

You will work across the full stack of our platform: designing scalable agent runtimes, integrating LLMs and AI frameworks, building the infrastructure that enables enterprise customers to deploy intelligent agents reliably, and ensuring everything runs securely at global scale. The goal is to abstract complexity so that builders can focus on outcomes - not infrastructure.

This role requires you to move fluidly between deep technical work and broader product and business context. You must be highly organised, effective in cross-functional settings, and genuinely excited about the frontier of enterprise AI.

Key Responsibilities

Platform Engineering

* Design and build core platform services that enable enterprise customers to deploy, manage, and scale AI agents securely across their environments.

* Develop and maintain scalable, cloud-native infrastructure with a focus on reliability, performance, and multi-tenant isolation.

* Build and own secure, well-documented APIs that integrate AI capabilities into enterprise systems and workflows.

* Contribute to the developer experience - making it easy for both technical and non-technical teams to build and operate AI solutions on the platform.

AI Agent Systems

* Design and implement LLM-powered agent architectures, including agent workflows, tool use, retrieval pipelines, and context and memory management.

* Evaluate, prototype, and integrate AI capabilities from leading model providers and emerging vendors, including foundation models and agent frameworks.

* Build tooling and frameworks to support LLM evaluation, observability, and operational reliability in production environments.

* Apply expertise in prompting strategies, model evaluation, and agent design to deliver production-grade AI systems for enterprise clients.

Customer & Cross-Functional Collaboration

* Lead customer-facing technical engagements, working closely with enterprise engineering and product teams to understand needs and deliver solutions.

* Partner with internal squads across engineering, product, and delivery to drive platform improvements and new capabilities.

* Identify and incorporate new technologies and partnerships that expand the platform's AI capabilities.

Requirements

To be successful in this role you will demonstrate the following:

* 7+ years of software development experience with a strong track record of building scalable, production-grade systems.

* Strong Go development skills - our primary platform language. Python is a valuable complement.

* Hands-on experience designing and building LLM-powered applications: agent architectures, RAG pipelines, context and memory strategies, and evaluation frameworks.

* Familiarity with AI agent frameworks and libraries such as LangChain, LangGraph, or similar - and comfort with prompting strategies, model evaluation, and agent design.

* Strong experience building secure, scalable APIs and distributed platform services.

* Solid understanding of cloud environments (AWS, GCP, or Azure) and multi-cloud deployment patterns.

* Experience with Kubernetes, containerisation, and cloud-native architecture patterns.

* A proactive, ownership-driven mindset - you can take charge in a fast-moving environment and follow through on commitments.

* Excellent attention to detail and a high standard of craft in everything you ship.

Nice to Have

* Experience with workflow orchestration tools or building durable, event-driven systems.

* Familiarity with vector databases or embedding pipelines for AI applications.

* Proficiency in CI/CD pipelines and GitOps practices.

* Experience building platforms or developer tooling used by both technical and non-technical users.

Why Join Us?

* High-performance culture: Being BRAVER at FSAI means innovating in uncharted territory - confident, courageous, and creative problem-solving.

* State-of-the-art technology: Work with the latest tools to solve large-scale enterprise problems with meaningful global impact.

* Scale of impact: Our relationships with global enterprises run deep, and our platform is designed to operate across every major industry and region.

* Competitive salary and growth trajectory: We invest heavily in your development through an in-house programme designed to expand your career horizon.

* Work with the best: A unique culture of learning and knowledge sharing across some of the brightest minds in enterprise AI.

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house. The best way to express interest is to apply with your resume through our company website.