Data&AIEngineer

Annapurna IT; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Annapurna IT is partnering with a client in London to hire a pragmatic Data & AI Engineer who will design, build, and operate AI‑powered applications and agents solving real business problems. You’ll collaborate with business stakeholders and engineers to embed domain knowledge into robust, production‑grade AI systems, enhancing workflows and decision making across teams.

The role emphasizes hands‑on delivery, system integration, and continuous improvement of AI capabilities in a fast‑moving

Qualifications

• Proficient in Python for production‑level AI services.
• End-to-end software delivery from design to deployment.
• Hands-on AI/LLM application development for real users.
• Experience with AI lifecycle: prototyping, data prep, evaluation, deployment.
• Ability to design evaluations and measure model quality and impact.
• Experience with multiple model providers and trade-offs.
• Prompt and agent design as testable software artifacts.
• Systems integration with APIs, data platforms, and unstructured data.
• Familiarity with retrieval-augmented generation and workflow automation.
• Understanding model adaptation: prompting, retrieval, fine-tuning.
• Business and data understanding to translate workflows into AI solutions.

Skills

Python

Delivery lifecycle

AI/LLM apps

AI lifecycle

Evaluation metrics

Multiple models

Prompt design

Systems integration

Advanced AI

Model adaptation

Business understanding

Job description

Data & AI Engineer

Our client is seeking a pragmatic, hands‑on Data & AI Engineer to design, build, and operate AI‑powered applications and agents that solve real business problems. You’ll join our client’s team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision‑making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production‑grade AI systems.

Key Skills & Experience

• Python software development – Strong, production-level coding skills to build reliable, maintainable AI services.
• End-to-end software delivery – Experience designing, building, testing, deploying, and operating production‑grade systems.
• AI/LLM application development – Hands‑on experience creating AI or LLM‑based applications used by real users, not just experimenting with consumer tools.
• AI system lifecycle – Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
• AI evaluation and metrics – Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
• Working with multiple model providers – Understanding of different model families, trade‑offs in latency, cost, context limits, and deployment constraints.
• Prompt and agent design – Experience treating prompts and agent instructions as versioned, testable software artifacts.
• Systems integration – Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
• Advanced AI techniques – Familiarity with retrieval‑augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
• Model adaptation foundations – Understanding when to use prompting, retrieval, fine‑tuning, and how to prepare and evaluate data and models for post‑training.
• Business and data understanding – Ability to grasp complex workflows, rules, and processes, and translate them into AI‑enabled solutions.