Senior Software Engineer, AI/ML

About Datalign Datalign Advisory is a Cambridge-based fintech building the comprehensive AI‑native platform for how Americans find, evaluate, and work with financial advisors — and how advisors grow. Our platform spans five products: curated lead generation, GEOsAI geographic intelligence, RelationshipAI prospect insights, Halo consumer engagement, and a customizable agentic AI layer for advisory firms.

We serve 100,000+ consumers, referred $80B+ in assets to 13,000+ advisors, and have been recognized as Financial Advisory Platform of the Year at the 2026 FinTech Breakthrough Awards. We work fast in a small team and build an integrated infrastructure layer powered by a proprietary knowledge graph of over 200 million Americans.

Please note: This hybrid role requires candidates to be located in the Greater Boston area and to work in office four days a week.

The Role

We are looking for Senior Software Engineers with deep AI/ML expertise to join a small, high‑impact engineering team. This is a hands‑on technical leadership role in which you will architect and build the AI systems that power our advisor‑facing and consumer‑facing products. You will work directly with the CTO and product leads to bring ambitious ideas from whiteboard to production.

What You’ll Do

• Set Direction: Lead the design, architecture, and implementation of AI/ML systems powering Datalign’s core products, including Halo (our agentic AI framework) and RelationshipAI.
• Collaborate: Work closely with product, design, and data teams to turn ambiguous business problems into measurable, shippable AI capabilities.
• Deliver: Build and scale LLM systems including retrieval‑augmented generation (RAG), tool use/function calling, multi‑agent orchestration, and real‑time inference services.
• Keep It Secure: Implement reliability, safety, and security guardrails for AI products, including PII handling/redaction, access controls, prompt‑injection defenses, auditability, and pragmatic human‑in‑the‑loop workflows where needed.
• Innovation: Contribute to the evolution of our engineering practice with the rapid adoption of AI tools in software development.
• Culture: Mentor other engineers, and help build a culture of technical excellence, curiosity, and rapid execution.

What You Bring

• 7+ years of software engineering experience, including building and operating production AI/ML or LLM‑powered systems.
• Proven ability to lead technical projects end‑to‑end with high autonomy and low oversight.
• Bachelor’s degree in Computer Science or a related field. Masters preferred.
• Strong experience working in Python; additional experience with TypeScript and/or Go is a plus.
• Hands‑on experience shipping LLM applications in production (e.g., RAG, tool use/function calling, agentic workflows, fine‑tuning/LoRA where appropriate).
• Strong foundation in distributed systems and cloud infrastructure (AWS preferred), including building scalable inference/services and production observability (logs, metrics, traces).
• Strong communication and product sense: you can explain tradeoffs (quality vs latency vs cost vs risk) and align technical work to business goals.

Preferred

• Experience in fintech, wealth management, or other regulated environments; comfort partnering with compliance/legal on data and AI controls.
• Track record of shipping software in fast‑moving, resource‑constrained startup environments with high ownership.
• Experience with AI security/safety practices: prompt‑injection resistance, data exfiltration prevention, policy enforcement, and audit logging.
• Familiarity with building systems that have high‑signal feedback loops from user behavior.

Why Datalign

• Direct impact — your work will be seen and felt by advisors and clients from day one.
• Seat at the table — small team means your voice and decisions really matter.
• Mission‑driven — we’re democratizing access to quality financial guidance.
• Competitive compensation with equity.
• Flexible hybrid environment in Kendall Square, one of the world's great innovation hubs.
• Backed and supported by the Link Ventures ecosystem.