Senior Applied AI Software Engineer – Architecting Next‑Generation Customer‑Facing Agentic Systems for Investment Intelligence at brighthush

About brighthush

brighthush stands at the intersection of data, artificial intelligence, and finance. With a presence in more than 60 countries and a client base that manages nearly $10 trillion in assets, we unify portfolio, market, and client data into a single, real‑time view. Our AI‑powered insights are woven seamlessly into investment and client workflows, enabling firms of all sizes to make smarter, faster decisions. The brighthush ecosystem integrates with over 650 software, data, and consulting partners, delivering end‑to‑end investment operations that scale from boutique advisory firms to large institutional investors.

Our global offices—from New York City and London to São Paulo, Edinburgh, Geneva, Warsaw, Dubai, Pune, and Singapore—reflect our commitment to collaboration, innovation, and a relentless focus on client success. At brighthush, we believe that the best solutions arise when technology meets deep domain expertise, and we are dedicated to building products that truly transform how our clients work.

The Opportunity

As a Senior Applied AI Software Engineer on our Applied AI team, you will be at the forefront of designing and delivering AI‑driven solutions that directly impact our most strategic clients. Your day‑to‑day work will involve immersing yourself in a client’s business, identifying opportunities where AI can add value, prototyping cutting‑edge agentic systems, and partnering with our core engineering teams to ship production‑ready features that benefit all of brighthush’s customers.

We are building a high‑impact team that will shape the future of our product portfolio. Your contributions will set the direction for how we integrate AI across the platform, influence the architecture of our agent frameworks, and define the standards for reliability, cost, and performance that our clients expect.

Because our clients operate across multiple time zones, this role may require occasional work outside standard business hours and up to 15 % travel—including overnight and multi‑day engagements—to meet with stakeholders and gather real‑world feedback.

Applicants must have the right to work in the United Kingdom from day one. Visa sponsorship is not available for this position.

Key Responsibilities

• End‑to‑End AI Agent Development: From problem discovery with domain experts to rapid prototyping, rigorous evaluation, and production deployment, you will build AI‑powered agents that solve real business challenges.
• LLM Integration & Prompt Engineering: Design and implement large‑language‑model (LLM) pipelines, including prompt crafting, function calling, structured outputs, and retrieval‑augmented workflows that deliver accurate, context‑aware responses.
• Evaluation & Test Harnesses: Define domain‑specific evaluation criteria, build automated test harnesses, and iterate until the AI system meets or exceeds client expectations.
• Client‑Centric Collaboration: Work directly with clients to understand their workflows, validate AI behavior in situ, and refine solutions based on real‑time feedback.
• Product Generalization: Partner with core engineering teams to abstract client‑specific work into reusable product features that scale across the brighthush platform.
• Infrastructure & Deployment: Contribute to shared AI infrastructure—including agent frameworks, tool integrations, and deployment pipelines—ensuring reliability, scalability, and cost efficiency.
• Production Monitoring: Monitor live AI systems, troubleshoot issues, and continuously improve performance, reliability, and cost‑effectiveness.

Essential Qualifications

• Proven professional software engineering experience, with a strong portfolio of delivered projects.
• Expertise in Python, the primary language used across our AI and core engineering teams.
• Hands‑on experience with LLM APIs (Claude, GPT, or equivalent), including function calling, structured outputs, and prompt engineering.
• Strong SQL skills for data exploration, feature engineering, and building data‑grounded AI workflows.
• Familiarity with AI‑assisted development tools (Claude Code, Codex, or similar) that accelerate coding and debugging.
• Demonstrated ability to build a product from concept to production, with a bias for action and rapid iteration.
• Commitment to client experience: you care about the end‑user’s journey as much as the code you write.
• BS/MS in Computer Science, Mathematics, or a related quantitative field, or equivalent professional experience.

Preferred Qualifications

• Experience designing and deploying agentic systems that orchestrate multi‑step tool use and durable workflows.
• Proficiency in additional backend languages, particularly Java, which is valuable in our environment.
• Knowledge of financial data structures—portfolios, transactions, securities, accounting—enabling deeper domain insight.
• Exposure to cloud infrastructure (AWS) and container‑based deployments (Docker, Kubernetes).
• Experience with evaluation frameworks or methodologies for measuring AI system quality, including bias, fairness, and robustness.

Skills & Competencies

• Technical Proficiency: Python, SQL, LLM APIs, prompt engineering, function calling, structured outputs, AWS, Docker, Kubernetes, Java (preferred).
• Problem‑Solving: Ability to translate complex business problems into technical solutions, iterate quickly, and validate against real‑world data.
• Collaboration: Comfortable working cross‑functionally with product managers, data scientists, and client stakeholders.
• Communication: Clear articulation of technical concepts to non‑technical audiences, and concise documentation of design decisions.
• Ownership: A proactive mindset that takes responsibility for end‑to‑end delivery, from ideation to post‑deployment support.
• Learning Agility: Eagerness to stay current with emerging AI research, tools, and industry best practices.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is shaped by the impact you deliver. As a senior member of the Applied AI team, you will:

• Lead the design of flagship AI products that influence the entire platform.
• Mentor junior engineers and share knowledge across teams.
• Participate in strategic product planning and roadmap development.
• Attend industry conferences, workshops, and hackathons to stay at the cutting edge of AI and finance.
• Access internal learning resources, including AI research labs, data science bootcamps, and cross‑functional training programs.

Work Environment & Culture

brighthush fosters a culture of Ownership, Collaboration, Client Championing, Innovation, and Continuous Learning. Our values guide every decision and interaction:

• Act Like an Owner: Think and operate with intention, purpose, and care. Own outcomes.
• Build Together: Collaborate to unlock the best solutions and deliver lasting value.
• Champion Our Clients: Exceed client expectations; our clients’ success is our success.
• Drive Innovation: Be bold and unconstrained in problem solving. Transform the industry.
• Embrace Learning: Engage our community to broaden our perspective. Bring a growth mindset.

We are a fully remote team based in the United Kingdom, offering flexible working hours that accommodate global client time zones. Our virtual collaboration tools and regular all‑hands meetings ensure that every team member feels connected and empowered.

Compensation & Benefits

While specific figures are tailored to experience and role seniority, brighthush offers a competitive salary package that includes:

• Base salary commensurate with market rates for senior AI software engineers in the UK.
• Performance‑based bonuses tied to product impact and client satisfaction.
• Equity options that allow you to share in the company’s long‑term success.
• Comprehensive health and wellbeing benefits, including medical, dental, and vision coverage.
• Flexible paid time off, parental leave, and a generous holiday allowance.
• Professional development budget for courses, certifications, and conference attendance.
• Access to cutting‑edge AI research tools and cloud credits for experimentation.

How to Apply

Ready to build the next generation of AI‑driven investment solutions? Submit your application through our careers portal or send your résumé and a brief cover letter to [email protected]. We look forward to learning how your expertise can help us shape the future of finance.

Important Notice

brighthush is proud to be an equal‑opportunity employer. We celebrate diversity in all its forms and are committed to fostering an inclusive environment where every voice is heard. If you require reasonable accommodation due to a disability, please let us know during the application process.

Phishing Scam Warning: brighthush has recently been targeted by phishing scams where imposters pose as hiring managers. No legitimate brighthush hiring process will ask you to purchase equipment or provide personal financial information. If you receive suspicious communications, report them to [email protected].