Senior AI Engineer: LLMs, MLOps & Cloud AI (Hybrid NJ)

Accord Technologies Inc; Piscataway Township (NJ); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A technology company is seeking a Senior AI Engineer based in Piscataway, NJ. The ideal candidate will possess extensive experience in AI/ML, particularly with large language models. Responsibilities include developing machine learning models using Python, collaborating with offshore teams, and integrating AI capabilities using cloud services. The role emphasizes strong communication skills and a proven ability to manage projects effectively. This position is hybrid from day one, catering primarily to local NJ candidates.

Qualifications

• Strong experience with Python programming and ML frameworks like PyTorch and TensorFlow.
• Hands-on experience with LLMs, embeddings, and prompt engineering.
• Familiarity with cloud AI services such as Azure OpenAI and AWS Bedrock.

Responsibilities

• Develop and deploy machine learning models using Python.
• Design solutions involving Large Language Models and RAG.
• Work with cloud AI services to integrate AI capabilities.
• Build MLOps pipelines using Docker and Kubernetes.
• Develop APIs with FastAPI or Flask.
• Collaborate with offshore teams for solution implementation.
• Engage with clients for requirement gathering.

Skills

Python programming

ML frameworks (PyTorch, TensorFlow)

Large Language Models (LLMs)

Cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex)

Docker

Kubernetes

MLOps pipelines

API development (FastAPI, Flask)

Data structures and algorithms

Distributed systems

Excellent communication

Job description

A technology company is seeking a Senior AI Engineer based in Piscataway, NJ. The ideal candidate will possess extensive experience in AI/ML, particularly with large language models. Responsibilities include developing machine learning models using Python, collaborating with offshore teams, and integrating AI capabilities using cloud services. The role emphasizes strong communication skills and a proven ability to manage projects effectively. This position is hybrid from day one, catering primarily to local NJ candidates.