GenAI AI Engineer
GenAI AI Engineer
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1 Vacancy
Job Description
Title: GenAI/AI Engineer
Location: Philadelphia PA or New Jersey
Duration: Long-term Contract
Key Responsibilities:
- Develop and deploy AI/ML pipelines that ingest and analyze unstructured data (e.g. application logs usage data PDFs).
- Build and maintain scalable solutions using generative AI models for tasks such as document summarization anomaly detection and content extraction.
- Design and implement data processing pipelines feeding into analytical data marts.
- Integrate and optimize vector databases for semantic search and retrieval-augmented generation (RAG) applications.
- Collaborate closely with data engineers and business stakeholders to translate requirements into production-grade solutions.
- Leverage AWS tools (e.g. Bedrock Textract Comprehend) to implement AI-powered features and automate unstructured data workflows.
- Contribute to the teams Agile practices including sprint planning backlog grooming and demos.
Required Qualifications:
- 3 years of experience in AI/ML engineering with proven deployment of models in production.
- Proficiency in Python and relevant AI/ML libraries (e.g. PyTorch TensorFlow Lang Chain Hugging Face).
- Hands-on experience with generative AI technologies (e.g. LLMs diffusion models RAG systems).
- Solid understanding and application of Vector Databases (e.g. FAISS Pinecone Weaviate Milvus).
- Demonstrated ability to work with application logs telemetry data and unstructured documents (e.g. PDFs text logs).
- Knowledge of document parsing entity extraction summarization and topic modeling techniques.
- Familiarity with AWS AI/ML tools particularly Textract Bedrock Comprehend and S3.
- Experience deploying ML models in containerized environments (e.g. Docker Kubernetes).
Preferred Qualifications:
- Experience in fraud analytics or insurance claims systems.
- Background in data warehousing and data mart design for BI/reporting use cases.
- Understanding of MLOps best practices and CI/CD pipelines for model deployment.
- Exposure to Agile/Scrum development and cross-functional team collaboration.
Employment Type
Full Time
