Integration engineer Work, Jobs in Satley, Dur (with Salaries)

Junior AI Software Engineer
Accenture —Newcastle upon Tyne
- Full-time
- Computer Science
- Engineering
- Master's degree
Full Stack Software Developer (.NET, Angular)
Baker Hughes —Cramlington
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
- Life insurance
Project Engineer
Wood —Barnard Castle
- Full-time
- Engineering
- Annual leave
- Life insurance
Data Visualisation Engineer
Cybit —Newcastle upon Tyne
- £27,000 - £35,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
12d
Applied AI Engineer (.NET/C#)
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Software development
- In-person
Quick apply
AI Software Engineer
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Software development
- In-person
Quick apply
AI & Automation Engineer
Cybit —Newcastle upon Tyne
- £35,000 - £45,000 a year
- Full-time
- Hybrid work
- Continuous improvement
- AI
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
12d
Incident Manager
Giacom —Prudhoe
- £30,000 - £35,000 a year
- Hybrid work
- SQL
- Continuous improvement
- Agile
- Annual leave
Quick apply
Electronics Engineer
OpenWorks Engineering —Prudhoe
- From £35,000 a year
- Full-time
- Remote
- Engineering
- Mentoring
- Electrical Engineering
- Flexible schedule
Quick apply
AI Engineer
Scrumconnect Consulting —Newcastle upon Tyne
- £58,000 - £74,000 a year
- Hybrid work
- Master's degree
- Machine learning
- AI
Senior Software Engineer, Windows/Desktop Applications - Newcastle, United Kingdom
Speechify —Newcastle upon Tyne
- Remote
- Software troubleshooting
- Windows
- C++
14d
Principal Layout Integration Engineer
Assystem —Newcastle upon Tyne
- Engineering
- Business development
- Mentoring
- Annual leave
- Referral programme
DevOps Engineer - Newcastle
Accenture —Newcastle upon Tyne
- Full-time
- DevOps
- Scripting
- Agile
Senior Layout Integration Engineer
Assystem —Newcastle upon Tyne
- Engineering
- Mentoring
- Leadership
- Annual leave
- Referral programme
QAT Analyst (SC Cleared)
Scrumconnect Consulting —Newcastle upon Tyne
- £45,000 - £55,000 a year
- Engineering
- Analysis skills
- Agile
Process Engineer
Assystem —Newcastle upon Tyne
- Engineering
- System design
- In-person
Front-End Developer (SC Cleared)
Scrumconnect Consulting —Newcastle upon Tyne
- £60,000 - £70,000 a year
- Agile
- Communication skills
Software Engineer, Platform - Newcastle, United Kingdom
Speechify —Newcastle upon Tyne
- Remote
- APIs
- Communication skills
Senior Salesforce Architect
Ocado Retail —Sunderland
- Hybrid work
- Salesforce
- AI
- Leadership
- Annual leave
Test Engineer
Scrumconnect Consulting —Newcastle upon Tyne
- £45,000 - £50,000 a year
- AWS
- APIs
- Communication skills

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integration engineer jobs near satley, dur

Junior AI Software Engineer

Accenture -
Newcastle upon Tyne

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Job details

Full-time

Qualifications

Law
Computer Science
Engineering
NoSQL
Master's degree
Databases
Docker
Bachelor's degree
CI/CD pipelines
Back-end development
APIs
Agile
AI
Debugging

Full job description

We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills.

You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI solutions — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone it is a core engineering function in the most in-demand part of the market, with a direct pathway to the Forward Deployed Engineer program for those who develop agentic depth.

We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity — combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

Key Responsibilities

Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality
Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers
Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks
Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not
Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders
Own delivery end-to-end — from design through to production support — in Agile sprint cycles alongside client engineering teams
Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team
Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends — understanding data flows, context handoffs, and integration points between your code and AI pipelines

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field
Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects)
Proficiency in at least one primary backend language: Python, Java, or TypeScript
Demonstrated hands-on experience using AI tools actively in day-to-day engineering work — with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs
Basic understanding of web technologies including JavaScript, HTML, and CSS
Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines
Understanding of Agile delivery fundamentals
Experience with databases — SQL or NoSQL
Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use
Familiarity with agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required

#LI-EU

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Refine Your Search

integration engineer jobs in satley, dur

Junior AI Software Engineer

Full Stack Software Developer (.NET, Angular)

Project Engineer

Data Visualisation Engineer

Applied AI Engineer (.NET/C#)

AI Software Engineer

AI & Automation Engineer

Incident Manager

Electronics Engineer

AI Engineer

Senior Software Engineer, Windows/Desktop Applications - Newcastle, United Kingdom

Principal Layout Integration Engineer

DevOps Engineer - Newcastle

Senior Layout Integration Engineer

QAT Analyst (SC Cleared)

Process Engineer

Front-End Developer (SC Cleared)

Software Engineer, Platform - Newcastle, United Kingdom

Senior Salesforce Architect

Test Engineer

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