Location: Piscataway, NJ (Hybrid from day one)
Local to NJ candidates are preferred.
Position type: W2 contract.
Requirement
We are seeking an experienced and proactive Senior AI Engineer to join our team.
The ideal candidate will have a strong background in AI/ML, hands‑on experience with large language models, and proven ability to drive innovation and implementation in a collaborative environment.
You will collaborate with offshore teams and liaise directly with the client to ensure project deliverables are met on time and to expectations.
Responsibilities
- Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.
- Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering.
- Work with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex to integrate AI capabilities.
- Build and maintain MLOps pipelines using Docker, Kubernetes, and monitoring tools for scalable and reliable deployment.
- Develop APIs and endpoint services using FastAPI or Flask.
- Collaborate with offshore teams to drive solution implementation and ensure alignment with project timelines.
- Engage with the client for ongoing communication, requirement gathering, and expectation management.
- Leverage solid knowledge of data structures, algorithms, and distributed systems to optimize solutions.
Skills & Qualifications
- Strong experience with Python programming and ML frameworks (PyTorch, TensorFlow).
- Hands‑on experience with LLMs, embeddings, vector databases, RAG, and prompt engineering.
- Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex.
- Proficiency with Docker, Kubernetes, and MLOps pipelines.
- Experience in API development (FastAPI, Flask).
- Solid understanding of data structures, algorithms, and distributed systems.
- Excellent communication skills and ability to coordinate with offshore teams and clients.
- Proven track record of driving projects from conception to delivery in a collaborative environment.