At a Glance
- Tasks: Design and implement innovative AI solutions and backend services for real-world applications.
- Company: Join a leading tech firm in London with a focus on AI and collaboration.
- Benefits: Enjoy competitive pay, health coverage, remote work options, and professional growth opportunities.
- Other info: Dynamic workplace with exciting perks like free lunches, massages, and social events.
- Why this job: Be at the forefront of AI technology and make a tangible impact across various sectors.
- Qualifications: 4+ years in ML/AI engineering, strong Python skills, and experience with agentic applications.
The predicted salary is between 72000 - 88000 £ per year.
We’re looking for a
Senior AI Engineer – Agentic AI & Backend to join our team in London, United Kingdom in a hybrid working mode.
This role is part of EPAM’s Data & AI Practice and focuses on building practical AI solutions that move clients from concept to production-ready systems.
You will work across sectors such as Financial Services, CPG and Retail, helping design and implement AI-powered workflows and backend services that deliver measurable business outcomes.
This position offers an opportunity to work on innovative AI technologies, backend architectures, and real-world agentic systems in enterprise environments.
Responsibilities
- Design and implement AI solutions, focusing on agentic workflows and backend engineering
- Build backend services and APIs in Python using frameworks such as Fast API or similar
- Develop orchestration patterns for agentic workflows, including intent classification, tool calling, routing and supervisor/worker flows
- Create and maintain AI tools and skills with clear interfaces, testing and secure execution
- Configure and integrate MCP servers and clients for enterprise-grade agent connectivity
- Develop RAG-based solutions, including Graph RAG and Agentic RAG, aligned with client requirements
- Work with agent frameworks and SDKs such as Pydantic AI, Lang Graph/Lang Chain or Microsoft agent platforms
- Define evaluation strategies for agentic systems using automated and human-in-the-loop methods
- Implement telemetry and observability solutions to monitor performance and quality
- Leverage AI-assisted tools such as Claude Code, Open AI Codex or Git Hub Copilot to accelerate development
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 4+ years of hands-on ML/AI engineering experience (or Ph D with relevant experience).
- Strong Python development skills with proven backend engineering experience
- Hands-on experience building agentic or LLM-powered applications beyond simple prototypes
- Knowledge of API design, asynchronous processing, testing, debugging and production reliability
- Experience with Azure or AWS cloud environments and related services
- Familiarity with agent workflows, orchestration patterns and tool-calling techniques
- Experience integrating MCP or building RAG-based solutions with quality evaluation mechanisms
- Understanding of evaluation methodologies for AI systems such as golden datasets and automated tests
- Proficiency in telemetry, logging and observability tools for production systems
- Ability to work in cross-functional client engagement teams delivering enterprise solutions
- Nice to have
- Experience using AI development tools such as Claude Code, Open AI Codex or Git Hub Copilot
- Exposure to Azure AI Search, Azure Application Insights, Amazon Bedrock or other cloud AI services
- Familiarity with Microsoft 365 Agents SDK, Copilot SDK or enterprise Copilot extensions
- Knowledge of AI safety practices, guardrails and secure execution for AI workflows
- Prior consulting or client-facing experience in enterprise AI solution delivery
- We offer
- EPAM Employee Stock Purchase Plan (ESPP)
- Protection benefits including life assurance, income protection and critical illness cover
- Private medical insurance and dental care
- Employee Assistance Program
- Cyclescheme, Techscheme and season ticket loans
- Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
- Learning and development opportunities including in-house training and coaching, professional certifications, and courses
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
- #J-18808-Ljbffr
AI Engineer - Agentic AI & Back End employer: EPAM Systems
EPAM Systems is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI. With a strong focus on employee growth, you will have access to extensive learning opportunities and benefits such as stock purchase plans, all while working remotely or in a hybrid model across Europe. Join us to make a meaningful impact in the energy and utilities sector, driving transformation strategies alongside industry leaders.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Agentic AI & Back End
✨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 EPAM Systems 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 EPAM Systems.
✨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 EPAM Systems.
✨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 EPAM Systems 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 AI Engineer - Agentic AI & Back End
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 EPAM Systems.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at EPAM Systems 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 EPAM Systems
✨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 EPAM Systems 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.
