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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, AI/ML (AI Infrastructure & Platform) - **Company:** WEALTH PARTNERS, LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Data Retrieval, Distributed Systems, Python (Programming Language), Systems Integration, TypeScript, Datadog, Large Language Models, Multi-Agent Systems, Backend, Event Driven Architecture, AI Platforms, Information Technology, Machine Learning Operations, Front End Software Development, Data Pipelines, Serverless Computing - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-ai-ml-infrastructure-platform-wealthcom-8142062 ## About the Role * A degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience) * Strong software engineering fundamentals, including system design, distributed systems, and writing maintainable code * Proven track record of building and operating production systems at scale * Proficiency in Python, TypeScript, C#, and comfort working across a polyglot stack, picking up new languages and frameworks as needed * Experience building backend systems, APIs, or infrastructure platforms * Experience working with AI/ML systems in production, including LLM integrations or data pipelines * Experience designing or integrating systems with tool/skill abstractions (e.g., function calling, APIs, or capability layers used by AI systems) * Ability to operate in ambiguous, fast-moving environments with high ownership Preferred Qualifications (Bonus Points) * Experience building AI platforms or infrastructure layers (not just applications) * Experience with: + RAG systems, vector databases (e.g., Pinecone, Weaviate, pgvector) + Agent orchestration frameworks (e.g., LangGraph, LangChain, or custom systems) + Evaluation and observability tooling for AI systems * Experience designing or building tooling layers (skills/capabilities) for AI systems * Experience designing scalable distributed systems or platform abstractions * Experience with cloud infrastructure such as: + GCP (Cloud Run) or AWS (ECS, Lambda) + Containerized or serverless deployments * Experience with event-driven systems, queues, and async processing * Experience with MLOps, CI/CD, and production monitoring * Experience working in regulated domains (LegalTech, FinTech, HealthTech) * Familiarity with data privacy and security techniques (e.g., PII handling, redaction) You Might Be a Fit If * You enjoy building systems and platforms that other engineers depend on * You think in terms of abstractions, capabilities, and reusable systems * You care about how AI systems behave in production at scale * You're comfortable working across AI systems and infrastructure layers * You take ownership of ambiguous problems and drive them to robust solutions You Might Not Be a Fit If * You prefer working primarily on frontend or user-facing features * Your experience is limited to experimentation without production systems * You are less interested in infrastructure, reliability, or platform design ## Description We are seeking a Software Engineer, AI/ML (Infrastructure & Platform) to build the foundational systems that power our next generation of AI applications. This is a systems-focused role. You will design and build the platforms, abstractions, and infrastructure that enable teams to reliably develop, deploy, and scale AI systems - including agentic workflows, retrieval pipelines, and model integrations. You will operate at the intersection of AI systems and distributed infrastructure, focusing on the "how" behind production AI: how models are orchestrated, how tools/skills are exposed and executed, and how systems are evaluated, monitored, and scaled in real-world environments. Your work will directly enable product teams to move faster while ensuring our AI systems are reliable, observable, secure, and cost-efficient., * Design and implement tools ("skills") that agents and applications rely on, including APIs, workflows, and integrations * Define clear interfaces for capabilities such as data retrieval, calculations, document processing, and external system actions * Build reusable, composable abstractions that enable safe and scalable tool usage across systems * Ensure tools are reliable, observable, and secure, especially when interacting with sensitive data, * Build tools, SDKs, and internal platforms that enable engineers to integrate AI capabilities quickly and safely * Standardize best practices across teams (prompting, evaluation, deployment) Work closely with product and AI teams * Partner with AI Applications engineers to support production use cases * Translate product needs into scalable infrastructure solutions ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)