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Strategic Employment Partners (SEP) · 1 day ago

Artificial Intelligence Engineer

NYC Metro Area

Full-time

Onsite

Mid Level

Strategic Employment Partners (SEP) is a leading Industrial Technology company seeking an AI Engineer for a foundational-stage startup. This role focuses on building the core intelligence layer by designing AI features, developing models, and ensuring data security in the integration of complex industrial machinery systems.

Staffing & Recruiting

Responsibilities

Design and build retrieval and reasoning systems over graph-based product data and cost records

Ship AI features that map incoming requirements to proven configurations, flag risks, and generate reliable engineering outputs

Extract and normalize requirement signals from CRM and linked systems to guide downstream configuration and validation

Build AI models and retrieval pipelines that preemptively identify gaps, conflicts, and cost risks, providing actionable recommendations

Implement services utilizing LLMs, embeddings, and graph queries to interpret and act on requirements within a unified product and deal model

Architect logic for configuration retrieval, validation runs, and risk escalation. Build pipelines for evaluation, cost estimation, and result publishing

Prototype and harden RAG pipelines using vector databases and knowledge graphs. Focus on prompt/adapter tuning to improve accuracy, latency, and determinism

Establish evaluation harnesses, golden datasets, and regression tests for models. Instrument latency, cost, and quality budgets with defined SLOs

Contribute to the architecture for isolation, encryption, access control, and audit, aligning with enterprise requirements

Qualification

Large Language ModelsPythonPyTorchGraph databasesDistributed computingContainer orchestrationData SecuritySoft skills

Required

AI Application Experience: Experience building applications around Large Language Models (LLMs) with a focus on domain-specific knowledge extraction

Technical Stack: Strong proficiency in Python and PyTorch

Data Expertise: Ability to utilize graph databases or knowledge graphs for contextual data management

Infrastructure: Comfort with distributed computing, GPU acceleration, and container orchestration (Docker) for large-scale training or inference

Product: Ability to work with ambiguous requirements, iterate quickly, and partner effectively with product managers and systems engineers

Preferred

Experience deploying AI in enterprise or regulated settings (e.g., manufacturing, aerospace, automotive)

Knowledge of DevOps practices for reliable model delivery

Exposure to HPC or advanced cluster configurations

Company

Strategic Employment Partners (SEP)

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