AI Engineer at esynergy

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Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI Models, Production Systems, Secure AI, Responsible AI, AI Platforms, Multidisciplinary Teams, Language Models, Multimodal Models, APIs, AI Inference, Monitoring, Explainability, Auditability, CI/CD, Cloud Platforms

Industry

IT Services and IT Consulting

Description

Are you an AI engineer who loves taking models out of the lab and putting them into real, high-impact production systems? Do you want to build secure, responsible AI solutions that genuinely improve public services and decision-making? Are you excited by integrating cutting-edge AI into complex platforms—while working in environments that value ethics, governance, and quality? Role overview We are seeking an AI Engineer to design, build, and operate AI-powered systems that support the delivery of critical public services. You will work within multidisciplinary teams to implement reliable, secure, and governable AI capabilities within government digital services. The role focuses on applying modern AI models and platforms to real-world use cases, improving decision-making, automating workflows, and enhancing user experience across public-sector systems. This role is suited to an engineer who enjoys shipping AI into production, integrating AI into existing services, and working within strong ethical, security, and governance constraints. Key Responsibilities As an AI Engineer, you will: Design and build AI-enabled services and workflows for public-sector use cases Develop production-ready AI services using Python and modern AI frameworks and APIs Build and operate AI-powered agents and automation, with appropriate controls, monitoring, and human oversight Integrate language and multimodal models (e.g. text, documents, images) into digital services and APIs Embed AI capabilities directly into products and services (e.g. decision support, case handling, internal tools), rather than standalone chatbots Build and maintain data flows required for AI inference, evaluation, and monitoring Optimise AI systems for reliability, latency, and cost-effective inference Monitor live AI systems for quality, drift, bias, and operational failure modes Apply responsible AI principles, including explainability, auditability, and governance standards Collaborate closely with product managers, designers, data professionals, and software engineers Contribute to documentation, code reviews, and shared AI tooling and standards Required Skills & Experience You will bring: Strong experience using Python to build production services and AI-enabled applications Hands-on experience integrating large language models and AI APIs into real systems Experience deploying and operating AI services in production environments Understanding of AI operations (monitoring, evaluation, versioning, and rollback) Experience integrating AI capabilities into APIs, workflows, and digital platforms Familiarity with cloud platforms (AWS, Azure, or GCP) and managed AI services Solid engineering fundamentals (testing, CI/CD, observability, security) Experience working in regulated, secure, or high-compliance environments Strong communication skills and comfort working in multidisciplinary teams Desirable Experience Ideally, you’ll also have: Experience in public sector, healthcare, defence, or government environments Experience building agent-based systems, orchestration, or workflow automation Knowledge of AI governance, assurance, and audit requirements Experience with explainability, evaluation, and bias monitoring for AI systems Familiarity with open-source AI tooling and modern inference frameworks Experience contributing to shared platforms or internal AI enablement teams About us 🔓 esynergy is a technology consultancy and we build products, platforms and services to accelerate value for our clients. We drive measurable impact that is tightly aligned to our clients’ business objectives. Put in practice that means high transparency, metric-driven reporting, and incremental handovers and a consistent focus on building our clients’ capability. Our delivery teams are small and highly functional, formed by a vetted ecosystem of associates, luminaries and partners. We choose technologies that are the right fit for our clients’ needs and are not opinionated around specific tech stacks and service offerings.

Responsibilities

The AI Engineer will design, build, and operate AI-powered systems supporting critical public services, focusing on implementing reliable, secure, and governable AI capabilities within government digital services. Key tasks include developing production-ready services using Python, integrating various AI models, and building necessary data flows for inference and monitoring.