AI Engineer (Agentic AI)

Adria Solutions Ltd; Manchester; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Training budgets

Hybrid work model

Career growth

Job summary

Adria Solutions Ltd in Manchester is seeking an hands-on AI Engineer to design, build and deploy production AI systems that impact customer journeys and internal operations.

You will work across product, engineering and data teams to turn LLMs, agentic AI, and ML models into reliable, scalable solutions with strong observability and safety controls.

Hybrid working model offered to balance collaboration with focused development time, plus training budgets to keep skills cutting-edge.

Qualifications

• Hands-on AI engineer with production-grade experience.
• Experience delivering AI/ML integrated systems.
• Strong understanding of latency, resilience, and observability in AI.
• Ability to collaborate across product, engineering and data teams.

Responsibilities

• Design, build, and integrate AI applications into end-to-end workflows.
• Embed agentic AI into customer and operational processes with reliable fallback behavior.
• Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production.
• Establish best practices for orchestration, testing, monitoring, and safeguards.
• Evaluate emerging AI capabilities and translate them into high-value implementations.

Skills

Python

Production AI systems

LLMs

Observability

Cross-functional collaboration

Tools

AWS

Job description

AI Engineer (Agentic AI)

We’re looking for a hands‑on AI Engineer to build real‑world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production‑ready solutions.

What You’ll Do

• Design, build, and integrate AI applications into end-to-end workflows.
• Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior.
• Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production.
• Establish best practices for orchestration, testing, monitoring, and operational safeguards.
• Evaluate emerging AI capabilities and translate them into practical, high-value implementations.

What We’re Looking For

• Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems.
• Hands‑on experience with LLMs, AI services, or agentic AI frameworks.
• Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability.
• Systems thinker who collaborates effectively across teams and communicates clearly.
• Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes.

Bonus if you have: AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community.

Benefits:

• Training and development budgets
• A culture of collaboration and growth so your career can become what you want it to be.
• Hybrid working – balance of remote working and on-site to suit your work/life balance.

Join us and help shape the future of AI-driven systems in a fast-moving, hands‑on environment.