Artificial Intelligence Engineer in Slough

Artificial Intelligence Engineer in Slough

Slough Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
HCLTech

At a Glance

  • Tasks: Design and develop AI-driven systems for autonomous decision-making and collaboration.
  • Company: Join a diverse global team at an innovative tech company.
  • Benefits: Competitive pay, 20 days vacation, and comprehensive insurance coverage.
  • Other info: Opportunities for personal growth and involvement in impactful initiatives.
  • Why this job: Make a real impact with cutting-edge AI technology and exciting projects.
  • Qualifications: 5+ years in software development, strong Python skills, and AI engineering experience.

The predicted salary is between 60000 - 80000 £ per year.

Responsible for designing, developing, and deploying AI-driven agentic systems that enable autonomous decision-making, multi-agent collaboration, and scalable AI workflows. The role focuses on building intelligent backend systems using LLM frameworks and cloud-native architectures.

Key Responsibilities:

  • Develop RESTful APIs (FastAPI/Flask) for AI and agent-based systems
  • Design and implement agentic workflows using frameworks like LangChain, LangGraph, or similar
  • Integrate LLMs with enterprise systems for contextual and intelligent automation
  • Build and manage multi-agent orchestration systems and pipelines
  • Optimize performance and scalability of AI backend services
  • Implement authentication, logging, and observability
  • Deploy solutions on GCP using GKE, Cloud Run, and Vertex AI
  • Ensure security and compliance standards for AI workloads
  • Implement CI/CD pipelines for AI applications

Required Skills:

  • Strong experience in Python and backend development
  • Hands-on with LLM frameworks: LangChain, LangGraph, HuggingFace
  • Experience with agent-based architectures and RAG implementations
  • Knowledge of Google Cloud Platform (Vertex AI, GKE, Cloud Run)
  • Familiarity with MCP servers and A2A communication models
  • Experience in databases: PostgreSQL, MongoDB, Redis, FAISS
  • Understanding of observability tools like Prometheus and Grafana

Preferred Skills:

  • Experience with EasyRAG or Google ADK
  • Exposure to Streamlit UI for AI apps
  • Knowledge of Terraform and CI/CD automation
  • Experience with Kubernetes-based deployments

Qualifications:

Bachelor's or Master’s degree in Computer Science, AI, or related field with 5+ years of experience in software development and AI engineering.

Benefits:

A supportive, diverse and global team with a brilliant culture. Competitive compensation and benefits that includes up to 20 days’ vacation per year, various insurances like Term life, AD & D and Business Travel insurance. These are apart from the statutory benefits applicable in the country. Great opportunities to make the role your own, upskill yourself and get involved with exciting projects. Total Wellbeing is our focus. Alongside your professional excellence, you join likeminded colleagues to create a larger impact within the company and society at large in your chosen area of passion - CSR Council, Diversity Council, Sparks – Engagement Champion to name a few.

To know more about us visit – www.hcltech.com

Artificial Intelligence Engineer in Slough employer: HCLTech

HCLTech is an exceptional employer for Artificial Intelligence Engineers, offering a vibrant and inclusive work culture that prioritises total wellbeing and professional growth. With competitive compensation, generous vacation allowances, and opportunities to engage in meaningful projects, employees are empowered to innovate and make a significant impact both within the company and in the wider community.

HCLTech

Contact Details:

HCLTech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Artificial Intelligence Engineer in Slough

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 HCLTech 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 HCLTech.

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 HCLTech.

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 HCLTech 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 Artificial Intelligence Engineer in Slough

Python
Backend Development
LLM Frameworks (LangChain, LangGraph, HuggingFace)
Agent-Based Architectures
RAG Implementations
Google Cloud Platform (Vertex AI, GKE, Cloud Run)
PostgreSQL

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 HCLTech.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at HCLTech 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 HCLTech

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 HCLTech 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.