GTM Engineer
The GTM Engineer role involves owning the technical roadmap for supporting users of LangChain by building AI-native systems that power technical support, onboarding, and customer success. Responsibilities include designing and deploying production-grade agents using LangGraph and LangSmith to handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. The engineer will analyze customer friction points to build self-service AI systems that reduce support volume and improve customer experience. They will act as the product owner and technical lead to identify opportunities for improvement, propose architectures, and manage the full lifecycle of the systems they build. Additionally, they will provide feedback to the product team by identifying gaps in frameworks and contributing to the LangChain and LangGraph open-source ecosystem. The role also includes developing AI-native onboarding workflows that automate documentation retrieval and code generation to help enterprise customers transition from prototypes to production efficiently.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python libraries such as NumPy, SciPy, and Pandas, improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice. They evaluate AI-generated solutions for correctness, assumptions, and engineering logic. They validate analytical or numerical results using Python libraries such as NumPy, SciPy, and Pandas. Contributors improve AI reasoning to align with first principles and accepted engineering standards. They apply structured scoring criteria to assess multi-step problem solving.
Staff Machine Learning Engineer
Design, train, test, and iterate on diffusion models for 3D geological models. Design, train, test, and iterate on an approach for conditioning generation on geophysical data and other observations. Inform the generation of synthetic data to improve model performance. Adapt diffusion modeling approach to specific real-world projects in collaboration with project teams.
Senior Legal Solutions Architect
The Senior Legal Solutions Architect is responsible for designing, building, and scaling AI-native systems that support OpenAI's Legal function, combining traditional legal systems with model-driven automation using OpenAI’s API and agent builder platform. This role involves architecting agentic legal workflows that include multi-step reasoning, tool-calling, orchestration, and human-in-the-loop review. The architect builds systems for triaging legal intake, managing contract and billing data, applying playbooks, flagging issues, and interacting with downstream systems in a controlled way. They define guardrails for autonomy and escalation paths. The architect acts as the primary steward of the legal technology stack, including CLM, OCM, intake systems, workflow orchestration, AI/agent services, and data platforms. They design data flows to ensure legal data is structured, governed, and suitable for analytics and AI use. They enable legal analytics by overseeing data quality, lineage, and auditability. Additionally, they configure, extend, support, and sometimes build API integrations, webhooks, and middleware across legal and enterprise systems. The role emphasizes hands-on architecture, integration, and extension of legal and internal technology platforms to support rapid iteration and scalable legal workflows while maintaining security, reliability, and governance.
AI-Enabled Compliance Reviewer
As an AI-Enabled Compliance Reviewer at Norm Ai, you will serve as a dedicated compliance reviewer for Norm Ai’s clients, functioning as an extension of each client’s legal and compliance team while conducting reviews with the Norm Ai compliance platform. You will perform hands-on regulatory reviews across marketing materials, disclosures, policies and procedures, and surveillance outputs, applying professional compliance judgment alongside AI-assisted analysis. You will work closely with Norm’s Legal Engineers and Norm Law, LLP’s Attorneys to translate regulatory requirements, review standards, and client-specific interpretations into AI agents and structured review logic, helping define review processes, issues, and operationalization of regulatory standards within automated workflows. You will support SEC examinations, compliance program reviews, and other regulatory or advisory engagements for investment advisers and related financial institutions, contributing substantive analysis and defensible documentation. The role may require on-site work with clients, including multiple days per week in a secondment-style arrangement, typically within the NYC tri-state area, depending on the engagement.
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