Senior AI Engineer

50 minutes ago

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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aPriori Technologies

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Enterprise • SaaS • Manufacturing

aPriori Technologies is a provider of AI-powered enterprise software solutions designed to optimize product profitability and accelerate time to market for manufacturers. Through its digital manufacturing simulations, manufacturability insights, and cost estimation capabilities, aPriori helps leading global manufacturers reduce product design time, streamline sourcing, and identify cost savings opportunities across the product lifecycle. Their services also focus on sustainable manufacturing practices by providing tools to calculate carbon footprints and enhance design efficiency. aPriori Technologies is widely used across industries, helping companies like GE Aerospace, Eaton, and Dana improve their manufacturing processes and profit margins.

201 - 500 employees

🏢 Enterprise

☁️ SaaS

📋 Description

• Design and build production-ready AI/ML systems, with an emphasis on Standard Model LLM-powered product and platform features. • Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented generation (RAG), copilot-assistants and agentic workflows. • Partner with Product Management and product teams to translate requirements into AI-powered capabilities that surface directly in user-facing products. • Apply MLOps and LLMOps best practices: monitoring, evaluation, prompt versioning, cost/performance optimization. • Combine traditional AI/ML with modern GenAI approaches to deliver hybrid solutions where appropriate. • Collaborate with Data Engineers to establish a scalable data pipeline that serves structured data shaped for LLM consumption, feature store data for traditional AI, and Trad/GenAI-enhanced insights for internal and customer-facing BI use cases. • Mentor and upskill peers in on core AI/ML and LLMOps practices, raising the overall AI/ML competency of the team. • Stay current with developments in GenAI, LLMOps, generative AI safety frameworks, and evaluate their potential for adoption within the platform.

🎯 Requirements

• Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain • Strong programming skills in Python and familiarity with modern data/ML pipelines • Solid understanding of data engineering practices (ETL/ELT, streaming, orchestration with Airflow/Temporal, dbt, Kafka, etc.) • Knowledge of LLMOps/MLOps practices: CI/CD for ML, model monitoring, drift detection, evaluation metrics, governance • Strong collaboration and communication skills: able to partner with Product, Platform, and Data teams to drive AI features from concept to production • Demonstrated ability to mentor and upskill engineers, particularly in data/ML workflows • Skilled in designing/building/deploying/operating LLM standard model-powered features in production (chatbots, copilots, RAG systems, agents) • Proficient in working with traditional cloud AI/ML platforms such as Amazon Sagemaker, GCP Vertex AI, or Azure ML and frameworks such as TensorFlow, PyTorch, scikit-learn.

🏖️ Benefits

• A competitive benefits package which includes medical, dental, and vision for employees and their dependents • life, disability, flexible spending accounts • 401k match • career-growth opportunities • flexible time • paid time off benefits – including aPriori days, and more!