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, generous pension, daily catered lunches, and hybrid work flexibility.

- 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: Join a high-calibre team that values technical excellence and creativity.

What You'll Do

• 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.