Production AI Engineer: LLM Deployments & Impact

Production AI Engineer: LLM Deployments & Impact

Full-Time 69750 - 85250 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deploy cutting-edge AI applications using the latest LLMs.
  • Company: Join Harrington Starr, a leader in innovative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Fast-paced environment with continuous learning and development opportunities.
  • Why this job: Make a real impact by solving complex business problems with AI.
  • Qualifications: Strong Python skills and experience in deploying production-grade AI applications.

The predicted salary is between 69750 - 85250 £ per year.

Harrington Starr is seeking a hands‑on AI engineer to design and deploy production‑grade AI applications using the latest LLMs.

You will work on scalable solutions that tackle complex business problems and continuously improve model performance through experiments and testing.

Collaborate with users to iterate rapidly while staying current with AI ecosystem developments, and bring strong Python engineering to shipping production code in a fast‑growing AI environment.

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Production AI Engineer: LLM Deployments & Impact employer: Harrington Starr

Join a dynamic and innovative capital markets technology business in London, where your contributions as a Junior Account Manager will directly impact client success and company growth. With a strong emphasis on employee development, a collaborative work culture, and competitive benefits, this role offers you the chance to thrive in a fast-paced environment while building meaningful relationships with clients and colleagues alike. Experience the unique advantage of working in a scaling firm backed by a leading growth investor, providing ample opportunities for professional growth and advancement.

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Contact Details:

Harrington Starr Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Production AI Engineer: LLM Deployments & Impact

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 Harrington Starr 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 Harrington Starr.

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 Harrington Starr.

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 Harrington Starr 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 Production AI Engineer: LLM Deployments & Impact

AI Application Design
LLM Deployment
Scalable Solutions
Model Performance Improvement
Experimentation and Testing
Collaboration with Users
Python Engineering

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 Harrington Starr.

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

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 Harrington Starr 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.