Lead Software Engineer

At a Glance

- Tasks: Lead the development of innovative AI solutions and automate workflows using cutting-edge technologies.

- Company: Dynamic alternative credit hedge fund with a focus on AI innovation.

- Benefits: Competitive salary, bonuses, generous pension, and daily catered lunches.

- Why this job: Make a real impact by shaping AI strategy in a growing investment firm.

- Qualifications: 8-12 years of experience in Python, SQL, and AI integration.

- Other info: Enjoy hybrid working and the freedom to experiment with emerging AI tools.

What You'll Do

- Technical Delivery (80%)

• Build end-to-end automation workflows using Python, SQL, Streamlit, and FastAPI
• Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini)
• Develop complex prompt engineering and agentic workflows
• Build and optimise RAG pipelines using vector databases and embedding models
• Implement MLOps best practices across AWS and Azure cloud platforms
• Leverage agent frameworks (LangChain, LlamaIndex, CrewAI) to orchestrate complex AI workflows
• Develop model fine-tuning, evaluation frameworks, and observability tools

- Business & Leadership (20%)

• Partner with teams to scale AI capabilities and establish best practices
• Translate business problems into technical solutions with measurable ROI
• Lead hands-on training and workshops to drive AI adoption
• Build business cases that prioritise initiatives based on commercial impact

What they're Looking For

- Essential

• 8-12 years of production experience with advanced Python and SQL
• Hands-on experience with LLM integration, prompt engineering, and RAG architecture
• Proven use of AI coding assistants (GitHub Copilot, Claude Code, Cursor) to accelerate development
• Evidence of applying technology beyond your day job – side projects, open source contributions, or building tools that solve real problems
• Someone who naturally gravitates toward using technology to make things better

- Nice to Have

• MSc or PhD in Computer Science, Data Science, Engineering, or related field
• Experience in financial services, particularly credit markets or investment management
• Classical ML/AI capabilities (gradient boosting, time series forecasting, anomaly detection)

What They Offer

- Competitive Package - Base salary, discretionary bonus, generous pension, comprehensive benefits, and daily catered lunches

- True Flexibility - Hybrid working with four weeks "work from anywhere" annually

- Direct Impact - Shape AI strategy at a growing investment firm where your solutions drive real business decisions

- Innovation Freedom - Autonomy to experiment with emerging AI tools, with budget and support to explore what's next

- High-Calibre Team - Work alongside driven professionals who value both technical excellence and commercial pragmatism

Ready to roll up your sleeves and build AI solutions that matter? Apply now.

Lead Software Engineer in Cardiff employer: [Employer hidden — view at passion-project.co.uk]

Join a forward-thinking Alternative Credit Hedge Fund in London, where you will be at the forefront of AI innovation. With a competitive salary, generous benefits, and a culture that promotes flexibility and autonomy, you'll have the opportunity to make a direct impact on business decisions while collaborating with a high-calibre team. Embrace your passion for technology in an environment that encourages growth, experimentation, and meaningful contributions to the financial sector.

Contact Detail:

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StudySmarter Expert Advice 🤫

We think this is how you could land Lead Software Engineer in Cardiff

#### ✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

#### ✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AI solutions. This is your chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.

#### ✨Tip Number 3

Prepare for interviews by brushing up on technical concepts and practicing common coding challenges. We recommend simulating real interview scenarios with friends or using online platforms to get comfortable with the process.

#### ✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team and making an impact in the AI space.

We think you need these skills to ace Lead Software Engineer in Cardiff

Python

SQL

Streamlit

FastAPI

LLM Integration

Prompt Engineering

RAG Architecture

MLOps

AWS

Azure

LangChain

LlamaIndex

CrewAI

Model Fine-Tuning

Data Science

Some tips for your application 🫡

Tailor Your CV:

Make sure your CV speaks directly to the role of Lead Software Engineer. Highlight your experience with Python, SQL, and any AI solutions you've developed. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:

Your cover letter is your chance to shine! Share your passion for AI and how you've tackled real business problems in the past. Let us know why you're excited about this role and how you can contribute to our team.

Showcase Your Projects:

If you've worked on side projects or contributed to open source, don't hold back! We love seeing practical examples of your work, especially those that demonstrate your ability to use technology to solve real issues.

Apply Through Our Website:

We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!

How to prepare for a job interview at [Employer hidden]

✨Know Your Tech Inside Out

Make sure you’re well-versed in Python, SQL, and the specific AI tools mentioned in the job description. Brush up on your experience with LLM integration and prompt engineering, as these will likely come up during technical discussions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss real-world examples where you've solved business problems using technology. Be ready to explain how your solutions had measurable ROI and how they transformed workflows, as this aligns perfectly with what the company is looking for.

✨Engage with Business Stakeholders

Demonstrate your ability to translate complex technical concepts into business language. Think of examples where you’ve partnered with teams to scale AI capabilities and led training sessions to drive adoption—this shows you can bridge the gap between tech and business.

✨Be Ready to Discuss Your Side Projects

If you have any side projects or open-source contributions, be prepared to talk about them. This not only showcases your passion for technology but also highlights your initiative in applying tech beyond your day job, which is a big plus for the role.