At a Glance
- Tasks: Design and develop AI workflows using cutting-edge language models and tools.
- Company: Join Coforge, a forward-thinking tech company in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and experimentation.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 2-5 years in software or AI engineering with strong Python or TypeScript skills.
The predicted salary is between 77184 - 94336 £ per year.
Work mode: Hybrid - 3 days weekly from office
Experience
2–5 years
We at Coforge are looking for Generative AI Engineer in London, UK.
Role Purpose
Design, develop, test, and deploy AI-agent workflows that use language models, enterprise data, APIs, and tools to complete business tasks safely and efficiently.
Key Responsibilities
- Convert business requirements into agent workflows, decision logic, tool calls, and human approval steps.
- Build single-agent and basic multi-agent solutions.
- Develop prompts, structured outputs, routing, retries, memory, and exception handling.
- Implement RAG, grounding, vector search, and context management.
- Integrate agents with APIs, databases, enterprise applications, and workflow platforms.
- Test accuracy, task completion, safety, latency, cost, and hallucination risk.
- Implement guardrails for privacy, permissions, prompt injection, and responsible AI.
- Diagnose issues using logs, traces, model responses, and tool-call history.
- Develop maintainable Python or Type Script code and support CI/CD deployment.
- Create technical documentation, workflow diagrams, and operational runbooks.
- Required Skills
- Python and/or Type Script
- Generative AI, large language models, prompt engineering, and structured outputs
- Agent frameworks such as Lang Graph, Semantic Kernel, Auto Gen, or Crew AI
- RAG, embeddings, vector databases, and enterprise search
- REST APIs, SQL, Git, Docker, cloud services, and CI/CD
- AI evaluation, monitoring, security, and responsible-AI practices
Qualifications
- Bachelor’s degree in Computer Science, Engineering, IT, Data Science, or equivalent experience.
- 2–5 years in software, data, automation, or AI engineering.
- Experience building at least one generative-AI, RAG, chatbot, automation, or agentic-AI solution.
- Experience integrating applications through APIs.
- Strong problem-solving and analytical skills
- Experimentation and continuous-learning mindset
- Good engineering and documentation discipline
- Ability to collaborate with technical and business teams
- Ownership of development, deployment, and issue resolution
- Sound judgement when handling AI risks and limitations
- Performance Measures
- Agent accuracy and task-completion rate
- Business adoption and productivity improvement
- Reliability, latency, and cost efficiency
- Defect and hallucination rates
- Delivery against sprint and release commitments
- Code quality, test coverage, and documentation
- #J-18808-Ljbffr
Generative AI Engineer in London employer: Coforge
Coforge is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the tech space. Located in London, employees benefit from a vibrant city atmosphere, ample professional growth opportunities, and a commitment to cutting-edge technology, ensuring that team members are at the forefront of industry advancements. With a focus on employee development and a supportive environment, Coforge stands out as a rewarding place to build a meaningful career in data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Coforge or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Coforge.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Coforge.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Coforge that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Coforge.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Coforge and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Coforge
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Coforge uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
