Senior AI Software Engineer
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
Exceptional value due to strong employer brand, unique opportunity to impact finance through AI, and competitive compensation.
- Prestigious firm at the cutting edge of AI in finance
- High compensation and performance incentives
- Leadership role in developing impactful AI systems
Pros
- Work at a prestigious investment firm at the forefront of AI innovation
- Competitive salary with performance bonuses
- Opportunity to lead impactful AI projects in finance
Cons
- Requires extensive experience (8+ years), which can limit applicant pool
- High-pressure environment typical of finance roles
- Remote work flexibility may be limited
Who it's for
Senior / Lead • Onsite / Hybrid
Good fit
- Senior engineers specializing in AI
- Professionals with a strong background in finance and technology
- Individuals motivated by innovation and AI
Not recommended for
- Those in early career stages in unrelated fields
- Candidates resistant to a high-intensity work environment
- Individuals with minimal coding and AI project experience
Motivation fit
Key skills
About the job
The Client Tempest Vane Partners is working with a world-renowned quantitative investment firm redefining the intersection of finance and artificial intelligence. Their Applied AI team sits at the core of this mission, building intelligent systems that transform how portfolio managers, researchers, and analysts interact with data. As the financial markets evolve, the team’s work ensures the firm remains ahead, innovating at scale, leveraging machine learning, and deploying production-grade AI to unlock new alpha opportunities. This is a chance to join a globally respected firm where AI isn’t an experiment, it’s a business driver. What You’ll Get The opportunity to design and deploy world-class AI systems used across global investment teams. A high-impact seat within a team driving technological and analytical innovation across the firm. A collaborative environment to work alongside ML researchers, engineers, and portfolio specialists, solving complex real-world problems. Competitive compensation with a performance-linked bonus. What You’ll Do Take ownership of designing and building next-generation AI systems that make complex financial data instantly accessible and actionable. Partner closely with data scientists, ML researchers, and frontend engineers to turn research concepts into robust, scalable production solutions. Lead the end-to-end delivery of new AI initiatives from idea and architecture through to deployment, monitoring, and optimisation. Introduce new tools, frameworks, and best practices that strengthen the team’s software engineering foundations. Contribute to a culture of continuous learning by mentoring engineers and helping shape the team’s technical direction. Ensure the stability and reliability of key AI platforms through proactive monitoring, maintenance, and occasional on-call support. What You’ll Need Extensive hands-on experience building and scaling AI-powered backend systems (8+ years in software development, 3+ focused on AI or ML engineering). Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks. Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong understanding of distributed systems, API design, and modern deployment practices using Docker, Kubernetes, and CI/CD pipelines. Comfort working in cloud-based environments (AWS preferred), including data connectivity and infrastructure-as-code principles. Experience integrating LLMs, RAG pipelines, or vector databases into production workflows is a major plus. A strong communicator who can translate technical complexity into business value and thrives in collaborative, cross-functional environments. Passion for solving challenging problems and advancing how AI is used to inform real-world financial decision-making.
