Senior Python AI Engineer – Agentic AI & Investment Intelligence

Senior Python AI Engineer – Agentic AI & Investment Intelligence

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop AI-driven applications using Python and modern cloud technologies.
  • Company: Join a cutting-edge team transforming investment intelligence with innovative AI solutions.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Collaborate with experts and gain exposure to the latest AI and cloud technologies.
  • Why this job: Be at the forefront of AI innovation and make a real impact in financial services.
  • Qualifications: Strong Python skills, experience with AI solutions, and a passion for problem-solving.

The predicted salary is between 63000 - 77000 £ per year.

We're looking for an experienced Senior Python AI Engineer to join a cutting-edge programme focused on transforming how investment professionals prepare for client engagements.

Working within a high-profile initiative, you will help build an advanced AI-powered solution that generates investment insights from sales and research materials.

Leveraging Agentic AI, LLMs, and Retrieval-Augmented Generation (RAG), the platform will dramatically reduce preparation time for client meetings while improving the quality and relevance of investment recommendations.

This is an opportunity to work at the forefront of AI innovation, building production-grade systems that deliver real business value within the financial services sector.

The Rol e As a Senior Python AI Engineer, you will work closely with business stakeholders, architects, business analysts and development teams to design and deliver intelligent AI solutions.

You'll play a key role in shaping the architecture, developing scalable backend services, integrating LLM technologies, and driving engineering best practices across the software development lifecycle.

You will also provide technical leadership, contribute to architectural decisions, and help evolve the platform as new capabilities and requirements emerge

  • Key Responsibiliti
  • es Design, develop and enhance AI-driven applications using Python and modern cloud technologie
  • s. Collaborate closely with business teams, architects and analysts to understand requirements and translate them into robust technical solution
  • s. Build and maintain production-grade APIs and backend service
  • s. Develop Agentic AI workflows capable of generating high-value investment insight
  • s. Design and implement Retrieval-Augmented Generation (RAG) architecture
  • s. Integrate and optimise Large Language Models (LLMs), including commercial and open-source solution
  • s. Drive technical design discussions and contribute to architectural decision
  • s. Perform code reviews, design reviews and unit testing activitie
  • s. Identify opportunities for code optimisation, process improvements and system enhancement
  • s. Support CI/CD, deployment automation and operational excellence initiative
  • s. Contribute to development standards, engineering best practices and continuous improvement activitie
  • s. Collaborate with cross-functional teams including developers, designers, content specialists and business stakeholder
  • Required Skills & Experie
  • nce Strong commercial experience developing backend solutions in Pyth
  • on Proven ability to write clean, maintainable, scalable and testable production co
  • de Strong experience designing, building and supporting production APIs, ideally using Fast A
  • th: API version
  • ion Monitoring and observabil
  • ity Performance optimisat
  • ion Strong cloud engineering experience, preferably A
  • ces Queues and messag
  • ing Serverless architectu
  • res Logging and monitoring platfo
  • rms Secrets managem
  • ent Experience with Git-based development workflo
  • ws Experience building and maintaining CI/CD pipelin
  • es Strong troubleshooting, debugging and problem-solving skil
  • ls Demonstrated ownership across the full software development lifecyc
  • Generative AI & Agentic AI Experi
  • ence We are specifically seeking candidates with hands-on experience building production AI soluti
  • ons. This inclu
  • ies Embeddings, indexing, chunking and retrieval strateg
  • ies Integrating Large Language Models includ
  • ing: Op
  • en AIAnthr
  • opic Open-source
  • LLMs Prompt engineering and optimisat
  • ion AI safety controls and guardra
  • ils Cost, latency and performance optimisation for AI worklo
  • kills Experience with Agent
  • eway Understanding of machine learning concepts inclu
  • ding: Embed
  • ation Fine-t
  • unin
  • g Lo RAPrompt and retrieval evalu
  • ation Frontend development experience using React and Type Sc
  • ript Experience designing and implementing event-driven architect

What We're Looki ng For You'll be a passionate engineer who enjoys solving complex problems and building innovative AI-powered products.

You will be comfortable working with both technical and non-technical stakeholders and capable of influencing architecture, design and delivery deci sions.

Success in this role requires a combination of strong software engineering fundamentals, deep interest in Generative AI, and the ability to turn emerging technologies into scalable production solu tions. Wh

  • y Join? Work on a genuinely innovative Agentic AI pl
  • platform. Build next-generation investment intelligence sol
  • utions. Exposure to modern AI, cloud and software engineering techno
  • logies. Collaborate with experienced architects, engineers and business stakeh
  • olders.
  • #J-18808-Ljbffr

Senior Python AI Engineer – Agentic AI & Investment Intelligence employer: Luxoft

As a leading bank, we pride ourselves on fostering a dynamic and inclusive work environment that encourages professional growth and collaboration. Our Training Business Analyst role offers the opportunity to engage in impactful projects while working alongside talented teams dedicated to compliance and innovation. With a strong commitment to employee development and a culture that values diverse perspectives, we provide our staff with the tools and support needed to thrive in their careers.

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Contact Details:

Luxoft Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Python AI Engineer – Agentic AI & Investment Intelligence

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 Luxoft 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 Luxoft.

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 Luxoft.

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 Luxoft 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 Senior Python AI Engineer – Agentic AI & Investment Intelligence

Python
Backend Development
API Development
FastAPI
Cloud Engineering
CI/CD Pipelines
Troubleshooting

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 Luxoft.

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

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 Luxoft 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.