Senior Software Engineer, AI/ML

About the role

We're 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.

Responsibilities

• Set Direction: Lead the design, architecture, and implementation of AI/ML systems powering Datalign’s core products, including Halo (our agentic AI framework) and RelationshipAICollaborate: Work closely with product, design, and data teams to turn ambiguous business problems into measurable, shippable AI capabilitiesDeliver: Build and scale LLM systems including retrieval-augmented generation (RAG), tool use/function calling, multi-agent orchestration, and real-time inference servicesKeep 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 neededInnovation: Contribute to evolution of our engineering practice with the rapid adoption of AI tools in software developmentCulture: Mentor other engineers and help build a culture of technical excellence, curiosity, and rapid execution

Requirements

• 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)
• 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