Senior AI‑Driven Investment Insights Engineer – Lead Intelligent Agent Development & Customer‑Facing Solutions Architect at brighthush – Empowering Global Portfolio Management with Next‑Gen AI
About brighthush
brighthush is not just a data‑and‑AI platform; it is the catalyst that transforms how investment professionals worldwide interpret, analyze, and act on complex financial information. With a presence in more than 60 countries and a client base that manages nearly $10 trillion in assets, brighthush has become the trusted partner for over 1,500 firms ranging from boutique advisory houses to global asset managers. Our mission is simple yet ambitious: to fuse portfolio, market, and client data into a single, coherent view, and to deliver AI‑powered insights that fit seamlessly into everyday investment and client workflows.
What sets brighthush apart is our open platform architecture. By connecting with over 650 software, data, and consulting partners, we enable end‑to‑end investment operations that scale with the complexity of our clients’ businesses. Whether you’re based in New York City, São Paulo, London, or Singapore, you’ll find that brighthush is redefining the investment industry one intelligent agent at a time.
The Opportunity
As a Senior AI‑Driven Investment Insights Engineer at brighthush, you will be at the forefront of designing, building, and deploying AI solutions that directly influence the day‑to‑day decisions of investment professionals. You’ll work closely with strategic clients, dive deep into their unique challenges, prototype cutting‑edge intelligent agents, and shepherd those prototypes through to production. Your work will shape the future of our product portfolio and set the standard for how AI can be woven into investment workflows.
In this role, you will:
- Own the full lifecycle of intelligent agent development, from problem discovery to production deployment.
- Collaborate with cross‑functional teams—including product, data science, and client success—to translate business needs into scalable AI solutions.
- Champion the adoption of AI across the organization, ensuring that our solutions are not only technically robust but also user‑friendly and aligned with client expectations.
- Mentor junior engineers and contribute to the growth of the engineering community at brighthush.
Why brighthush?
- Impact at Scale – Your solutions will be used by thousands of investment professionals worldwide.
- Fast‑Paced Innovation – We prioritize rapid iteration, learning from real‑world feedback, and shipping high‑quality products.
- Collaborative Culture – Cross‑functional teams, open communication, and a shared commitment to client success.
- Career Growth – Opportunities to lead product initiatives, mentor junior engineers, and influence the strategic direction of AI at brighthush.
- Inclusive Environment – We celebrate diverse perspectives and foster a culture of belonging.
Key Responsibilities
- End‑to‑End AI Agent Development – From problem discovery with clients to production deployment, you’ll build intelligent agents that solve real business problems.
- LLM Integration & Prompt Engineering – Design and implement large language model (LLM) pipelines, including function calling, structured outputs, and retrieval‑augmented workflows.
- Evaluation & Testing – Define rigorous evaluation criteria, build test harnesses, and iterate until the AI behaves reliably in ambiguous, domain‑specific contexts.
- Client Collaboration – Work directly with client stakeholders to understand workflows, validate AI behavior, and refine solutions based on user feedback.
- Product Generalization – Partner with core engineering teams to transform client‑specific prototypes into reusable product features.
- AI Infrastructure Contribution – Enhance shared AI infrastructure, including agent frameworks, tool integrations, and deployment pipelines.
- Production Monitoring – Oversee AI system reliability, cost, and performance, ensuring smooth operation in production environments.
Essential Qualifications
- 2+ years of professional software engineering experience, with a strong focus on Python.
- Hands‑on experience with LLM APIs (brighthush, brighthush, or similar) and proficiency in function calling and structured outputs.
- Comfortable writing SQL for data exploration and building data‑grounded AI workflows.
- Experience with AI‑assisted development tools (e.g., brighthush Code, brighthush).
- A proven track record of building a product from concept to production.
- Bias for action: you ship quickly, learn from feedback, and iterate relentlessly.
- Client‑centric mindset: you care about the end‑user experience as much as the code quality.
- BS/MS in Computer Science, Mathematics, or a related quantitative field (or equivalent experience).
Preferred Qualifications
- Experience building agentic systems (multi‑step tool use, agent orchestration, durable workflows).
- Knowledge of backend languages beyond Python (Java is highly valued 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
- Strong problem‑solving skills and the ability to translate complex business requirements into technical solutions.
- Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non‑technical stakeholders.
- Proficiency in version control (Git), CI/CD pipelines, and automated testing frameworks.
- Experience with containerization (Docker, Kubernetes) and cloud services (brighthush, brighthush, brighthush).
- Knowledge of data engineering principles, including ETL pipelines, data warehousing, and data quality.
- Familiarity with agile development practices and a willingness to adapt to evolving priorities.
Career Growth & Learning Opportunities
At brighthush, learning is a continuous journey. You’ll have access to:
- Mentorship from senior engineers and AI researchers.
- Internal workshops on the latest AI research, cloud technologies, and best engineering practices.
- Conferences and hackathons to stay ahead of industry trends.
- Opportunities to lead cross‑functional initiatives and shape product strategy.
Work Environment & Culture
Our culture is built on the following pillars:
- Ownership – Think and act like an owner; own outcomes and drive results.
- Collaboration – Build together, unlock the best solutions, and deliver lasting value.
- Client Championing – Exceed client expectations; their success is our success.
- Innovation – Be bold, unconstrained, and transformative in problem solving.
- Learning – Embrace a growth mindset and broaden perspectives through community engagement.
We are an equal‑opportunity employer committed to fostering a diverse, inclusive, and welcoming environment for all employees. Reasonable accommodations are provided for individuals with disabilities throughout the application and interview process.
Compensation & Benefits
brighthush offers a competitive total rewards package that includes:
- Base salary: $163,000 – $203,500 USD (market‑based, location‑adjusted).
- Performance bonus potential.
- Equity options to share in the company’s growth.
- Comprehensive health, dental, and vision insurance.
- 401(k) plan with company match.
- Generous paid time off, including vacation, sick leave, and holidays.
- Flexible work arrangements and remote‑friendly policies.
- Professional development budget and tuition reimbursement.
How to Apply
If you’re ready to build AI solutions that transform the investment industry, we’d love to hear from you. Submit your application through our careers portal, and let’s explore how you can make an impact at brighthush.
Join brighthush – Where Innovation Meets Impact
At brighthush, we’re not just building software; we’re redefining how investment professionals work with data and AI. Your expertise will help us deliver intelligent, client‑centric solutions that drive real business value. If you thrive in a fast‑paced, collaborative environment and are passionate about turning complex problems into elegant AI products, this is the place for you.
Apply for this job