Senior Software Engineer, AI/ML

Most companies in this space pick one lane — they’re a matching platform, or a CRM enrichment vendor, or a scheduling tool.

We’re building the integrated infrastructure layer underneath all of it, powered by a proprietary knowledge graph of 200M+ Americans.

We’ve served 100,000+ consumers, referred $80B+ in assets to 13,000+ advisors, won Financial Advisory Platform of the Year at the 2026 FinTech Breakthrough Awards, and recently opened our compliance-by-design agentic AI platform to advisory firms across the industry.

We’re small, we move fast, and the problem space is genuinely hard.

Please note: We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.

• 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 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
• 7+ years of software engineering experience, including experience 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)