AI Engineer

ECA International

. Design, develop and deliver AI-powered features using Claude, OpenAI, Gemini and open-weight models .

Posted 10/6/2026full-timeLondon • United KingdomJuniorMid-Level💰 £60,000 - £70,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing AI-powered features and LLM applications, with a strong foundation in Python and TypeScript. Proficient in building retrieval-augmented generation solutions and ensuring responsible AI practices.

Highest-signal resume keywords

Python DevelopmentLLM Application DevelopmentAWS Bedrock IntegrationRetrieval-Augmented Generation SolutionsResponsible AI Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software DevelopmentLLM APIsEmbeddingsVector DatabasesClaude CodeAgile MethodologiesOpen-Source ModelsMulti-Agent SystemsAI Performance EvaluationData Privacy

Soft Skills

CollaborationCuriosityProactivityClear CommunicationOwnership

Tools & Technologies

ClaudeOpenAIGeminiAWS BedrockAgentCoreNode.jsReactPostgreSQLDockerTerraform

Industry Keywords

AI SolutionsGovernancePrivacy SafeguardsB2B SaaSAgent Orchestration

Tech Stack

Tools & technologies

AWSDockerJavaScriptNode.jsPostgresPythonReactTerraformTypeScript

About the role

Key responsibilities & impact

Design, develop and deliver AI-powered features using Claude, OpenAI, Gemini and open-weight models
Build and improve retrieval-augmented generation pipelines using embeddings, vector databases and retrieval techniques
Develop intelligent agents and workflows using AWS Bedrock, AgentCore and agent orchestration frameworks
Use Claude Code in the everyday engineering workflow
Evaluate and monitor AI performance, improving quality, reliability, speed and cost
Help ensure AI solutions are secure, trustworthy and governed with appropriate privacy safeguards
Collaborate with engineers, product teams and other specialists to turn ideas into production solutions
Experiment, share ideas and challenge existing approaches

Requirements

What you’ll need

Around 2–5 years of software development experience, including hands-on experience building LLM-powered applications
Strong development skills in Python and/or TypeScript
Solid software engineering fundamentals
Practical experience with LLM APIs, including Claude, OpenAI or Gemini
Experience building and deploying RAG solutions, including embeddings, vector databases and retrieval optimisation
Hands-on experience running open-source or open-weight models such as Llama, Mistral or Qwen
Practical experience using Claude Code, including workflows, plugins, skills and other development capabilities
Experience with AWS Bedrock, including model integration and associated services
Understanding of responsible AI, including governance, data privacy, security and appropriate safeguards
Experience working in an Agile software engineering environment
Curiosity, proactivity and comfort learning in a rapidly changing field
Ability to collaborate, take ownership and explain complex technical ideas clearly
Bonus: experience with agentic AI development, multi-agent systems or orchestration frameworks such as LangGraph or Strands Agents
Bonus: Amazon Bedrock AgentCore
Bonus: LLM evaluation and observability tools
Bonus: building MCP servers or integrating external tools with AI agents
Bonus: Node.js, React, PostgreSQL, Docker or Terraform
Bonus: developing AI features within a multi-tenant B2B SaaS environment

Benefits

Comp & perks

Work on meaningful AI projects that make it into production
Hands-on experience with emerging AI technologies and development tools
Collaboration with experienced engineers and product specialists
Opportunities to experiment, innovate and contribute ideas influencing software development
Career development as part of an AI-native engineering team