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AI/ML Engineer

  • Pennsylvania, Malvern

  • 08/26/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    We are seeking an experienced Senior AI/ML Engineer with expertise in Natural Language Processing (NLP), Generative AI, and cloud-native machine learning systems. The role will focus on building production-ready intent detection models, Natural Language Generation (NLG) systems, LLM-driven applications, and scalable AI solutions using AWS-native technologies. The ideal candidate will have strong hands-on experience with AWS Bedrock, LangChain, LangGraph, Python, and modern ML frameworks.

    Key Responsibilities
    • Design, develop, and deploy intent classification and intent detection models using LLMs and traditional NLP methods.
    • Build and optimize Natural Language Generation pipelines for chatbot responses, summarization, content creation, and knowledge grounding.
    • Architect and implement LangChain and LangGraph applications for LLM-driven workflows, including autonomous agents and RAG systems.
    • Develop scalable machine learning pipelines using AWS services such as Amazon SageMaker, AWS Lambda, Amazon Bedrock, AWS Step Functions, Amazon DynamoDB, and Amazon Athena.
    • Integrate and fine-tune foundation models through AWS Bedrock, including Amazon Titan, Anthropic Claude, and Meta Llama.
    • Collaborate with product managers, ML researchers, and backend engineers to translate business requirements into robust AI solutions.
    • Lead experimentation and A/B testing activities and continuously evaluate deployed ML models.
    • Contribute to MLOps, model governance, responsible AI, and engineering best practices.
    • Provide technical guidance and mentorship to other ML engineers.

    Required Qualifications
    • 7+ years of experience in machine learning, with strong focus on NLP and Generative AI.
    • Strong experience building and deploying intent detection, text classification, sequence tagging, and entity recognition models.
    • Strong proficiency with LangChain, LangGraph, vector databases such as FAISS or Pinecone, and LLM workflow orchestration.
    • Deep hands-on experience with AWS Bedrock, Amazon SageMaker, AWS Lambda, Amazon DynamoDB, AWS Step Functions, and related AWS services.
    • Experience working with open-source LLMs such as LLaMA, Mistral, or Falcon and/or commercial APIs such as Claude or GPT-4.
    • Strong Python development skills.
    • Experience with machine learning frameworks such as PyTorch, Hugging Face Transformers, and scikit-learn.
    • Strong understanding of MLOps practices, including model versioning, ML CI/CD, monitoring, and auto-scaling.
    • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

    Preferred Qualifications
    • Experience implementing RAG systems at scale.
    • Experience with vector search technologies such as Amazon OpenSearch, Pinecone, or Weaviate.
    • Experience with streaming data processing technologies such as AWS Kinesis or Kafka.
    • Contributions to open-source AI/ML or NLP projects.

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