> Markdown version of [/jobs/ext/4523903-senior-software-engineer-ai-ml](https://www.wearedevelopers.com/jobs/ext/4523903-senior-software-engineer-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, AI/ML - **Company:** Datalign Advisory, Inc. - **Location:** Cambridge, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Cloud Computing, Distributed Systems, Python (Programming Language), Software Engineering, TypeScript, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Real-time Inference, Information Technology, Machine Learning Operations, Invoking Functions - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-ai-ml-cambridge-ma--d49a0d84-57f6-4953-9689-586fe7aae394 ## About the Role Software Engineering, Artificial Intelligence (AI), Artificial Intelligence (AI), Lead Generation, Customer/Client Research, Customer Relationship Management (CRM), Customer Relations, Software Engineering, Technical Leadership, Startup, * 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 ## Description The RoleWe'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. You'll architect and build the AI systems that power our advisor-facing and consumer-facing products, working directly with the CTO and product leads to bring ambitious ideas from whiteboard to production.If you're energized by real-world AI problems, thrive in a startup-pace environment, and want to see your work directly shape outcomes for financial advisors and the clients they serve, then this is your role.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 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