Senior AI Engineer

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

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.