Senior Applied AI Engineer – Customer‑Facing AI Solutions, Agentic Systems & LLM Integration for Enterprise‑Scale Finance Platforms at brighthush

About brighthush

brighthush is a pioneering global data and AI platform that empowers investment professionals to transform complex financial information into actionable intelligence. With a presence in more than 60 countries and a client base that manages nearly $10 trillion in assets, brighthush delivers a unified view of portfolios, markets, and client data, and embeds AI‑powered insights directly into the workflows that drive investment decisions. Our open platform seamlessly integrates with over 650 software, data, and consulting partners, enabling end‑to‑end investment operations for firms of every size and complexity.

At brighthush, we believe the future of finance is built on intelligent, customer‑centric technology. We are looking for passionate engineers who thrive on solving real‑world problems, building end‑to‑end AI solutions, and delivering measurable value to our clients. If you are excited by the prospect of shaping the next generation of AI‑driven financial tools and working in a fast‑paced, collaborative environment, we want to hear from you.

The Opportunity

As a Senior Applied AI Engineer on our newly formed Applied AI team, you will partner directly with strategic clients to identify opportunities where AI can transform their day‑to‑day operations. You will own the entire lifecycle of an AI capability—from problem discovery and rapid prototyping to rigorous evaluation and production deployment. Your work will directly shape the next generation of brighthush products and set the standard for how we deliver AI to our customers.

What You’ll Do

• Client‑Centric Discovery: Work closely with clients to map their workflows, pain points, and success metrics.
• Rapid Ideation & Prototyping: Translate business challenges into AI concepts and build quick, functional prototypes.
• LLM‑Based System Design: Architect and iterate large‑language‑model (LLM) solutions using advanced prompt engineering, function calling, and retrieval‑augmented workflows.
• Evaluation & Testing: Define domain‑specific evaluation frameworks and build robust test harnesses for ambiguous outputs.
• Productization: Collaborate with core engineering teams to generalize client‑specific solutions into scalable product features.
• Production Ops: Maintain AI systems in production, focusing on reliability, cost efficiency, and performance.
• Infrastructure Contribution: Enhance shared AI infrastructure, including agent frameworks, tool integrations, and deployment pipelines.

Because our clients operate across multiple time zones, you may be required to work outside standard business hours and travel up to 15 % of the time, including occasional overnight or multi‑day engagements.

Key Responsibilities

• End‑to‑End AI Development: Identify problems with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production.
• LLM Integration: Design and implement LLM integrations, including prompt engineering, function calling, structured outputs, and retrieval‑augmented workflows.
• Evaluation & Testing: Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain‑specific.
• Client Engagement: Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality.
• Productization: Partner with core engineering teams to generalize client‑specific work into product features.
• Infrastructure Contribution: Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines).
• Production Ops: Monitor and maintain production AI systems with attention to reliability, cost, and performance.

Essential Qualifications

• 2+ years of professional software engineering experience, with a strong track record of delivering production‑grade code.
• Proficiency in Python, the primary language used across brighthush’s AI stack.
• Hands‑on experience with LLM APIs (Claude, GPT, or similar), including function calling, structured outputs, and prompt engineering.
• Comfortable writing SQL for data exploration and building data‑grounded AI workflows.
• Experience with AI‑assisted development tools such as Claude Code, Codex, or equivalent.
• A proven ability to take an idea from zero to one—identifying what to build, not just building what’s specified.
• A bias for action: you ship quickly, learn from feedback, and iterate relentlessly.
• Commitment to client success: you see projects through from prototype to production and prioritize the end‑user experience.
• BS or MS in Computer Science, Mathematics, or another quantitative field, or equivalent professional experience.
• Legal authorization to work in the United States without requiring visa sponsorship.

Preferred Qualifications

• Experience building agentic systems that orchestrate multi‑step tool use and durable workflows.
• Knowledge of additional backend languages (Java is valuable in our environment).
• Familiarity with financial data domains—portfolios, transactions, securities, accounting.
• Exposure to cloud infrastructure (brighthush) and container‑based deployments.
• Experience with evaluation frameworks or methodologies for measuring AI system quality.

Skills & Competencies

• Programming Excellence: Strong programming skills in Python, with experience building scalable, maintainable codebases.
• LLM Expertise: Deep understanding of LLM architectures, prompt engineering, and advanced API usage.
• Data Proficiency: SQL proficiency for data exploration, feature engineering, and building data‑grounded AI workflows.
• Cloud & DevOps: Experience with cloud platforms (brighthush) and container orchestration (Docker, Kubernetes).
• Problem‑Solving: Excellent problem‑solving skills and a data‑driven mindset.
• Communication: Effective communication skills—able to translate technical concepts to non‑technical stakeholders.
• Self‑Starter: Self‑starter attitude with a passion for continuous learning and experimentation.

Career Growth & Learning Opportunities

At brighthush, your growth is a priority. You will:

• Receive mentorship from senior AI researchers and seasoned software engineers.
• Participate in cross‑functional hackathons that push the boundaries of AI in finance.
• Attend industry conferences and workshops to stay at the forefront of AI and financial technology.
• Contribute to open‑source AI projects and share your expertise with the broader community.
• Progress into leadership roles such as Lead AI Engineer, Principal Engineer, or AI Product Manager.

Work Environment & Culture

brighthush fosters a culture of curiosity, collaboration, and impact. Our distributed teams work in a flexible, remote‑first environment that values work‑life balance while encouraging deep focus on high‑impact projects. We celebrate diversity, champion continuous learning, and reward bold experimentation. Whether you’re coding in the office or from a coffee shop, you’ll find a supportive network of peers who are passionate about building the future of finance.

Compensation, Perks & Benefits

While specific figures vary by role and location, brighthush offers a competitive total rewards package that includes:

• Base salary commensurate with experience and market benchmarks.
• Performance‑based bonuses and equity opportunities that align your success with the company’s growth.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off, parental leave, and flexible work arrangements.
• Professional development budget for courses, certifications, and conference attendance.
• Wellness programs, including virtual fitness classes and mental health resources.
• Annual company retreats and team‑building events.

How to Apply

Ready to shape the future of AI in finance? Submit your resume, a brief cover letter outlining your most impactful AI project, and any relevant code samples or portfolio links. Our hiring team will review your application and reach out to schedule a conversation. We look forward to exploring how your expertise can help brighthush deliver transformative AI solutions to our global clientele.

Apply now and join a team that is redefining the intersection of technology and finance.