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AI Engineer

Build domain-specific AI features to automate product lifecycle management processes
Andover, Massachusetts, United States
Senior
yesterday
Aras Corporation

Aras Corporation

A provider of enterprise product lifecycle management software for complex product development and digital thread management.

3 Similar Jobs at Aras Corporation

AI Engineer / Developer

We are looking for an AI Engineer / Developer to join our team in transforming our Product Lifecycle Management (PLM) platform through AI-powered features. You'll be directly involved in the hands-on development and implementation of intelligent solutions that enhance automation, decision-making, and user experience. This role focuses on building, integrating, and optimizing AI/ML models and tools using modern NLP, LLMs, and vector search technologies. You will work closely with product, engineering teams to deliver meaningful, domain-specific AI capabilities across our PLM ecosystem.

Key Responsibilities

  • Develop and integrate AI-powered features using NLP, LLMs, and multimodal AI.
  • Build AI-driven solutions to enhance user experience, process efficiency, and decision-making.
  • Fine-tune and optimize AI models for performance and accuracy.
  • Implement monitoring, testing, and governance around AI features to reduce risks (e.g., prompt injection, bias, drift).
  • Collaborate with internal teams to iterate on solutions and improve existing ML pipelines.

Required Skills & Experience

  • Strong hands-on expertise in Natural Language Processing (NLP) and LLMs (e.g., GPT, Claude, Gemini, BERT, T5).
  • Experience in AI development: chatbots, assistants, virtual agents, etc., using LangChain, Semantic Kernel, or LangGraph.
  • Proficiency in building and deploying RAG pipelines, working with prompts (zero-shot, one-shot), and fine-tuning.
  • Familiarity with AI search tools such as Azure Cognitive Search, Elasticsearch, or Haystack.
  • Solid experience with the Azure AI ecosystem (Azure AI Services, OpenAI on Azure, AKS, etc.).
  • Experience with containerization tools: Docker, Kubernetes.
  • Working knowledge of MLOps, model versioning, and CI/CD with tools like Azure DevOps or GitHub Actions.

Technical Stack

  • Proficient in .NET (C#) and JavaScript/TypeScript.
  • Experience working with microservices and enterprise-scale applications.

Preferred Qualifications

  • 5+ years of hands-on AI/ML development experience.
  • Strong background in backend or full-stack engineering.
  • Previous experience delivering AI capabilities in enterprise software.
  • Deep familiarity with Azure infrastructure and deployments.
  • Strong collaboration skills and ability to communicate effectively with technical teams.

This role is based in Andover, MA with Wednesday and Thursday being in-office days.

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AI Engineer
Andover, Massachusetts, United States
Engineering
About Aras Corporation
A provider of enterprise product lifecycle management software for complex product development and digital thread management.