What are the responsibilities and job description for the Senior AI Engineer position at Accord Technologies Inc?
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
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.
- 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.