P
Only W2/1099 | Sr. GEN AI Engineer@ Ridgefield Park, NJ
PALNAR
1 hour ago
Full-time
On-site
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field
8+ years
of software engineering, machine/deep learning engineering, or applied AI experience 2+ years
of hands-on experience building and deploying
Generative AI / LLM-based systems in production Strong programming skills in
Python
and experience with backend/API development Experience with
LLM application development , including prompt engineering, RAG, tool use, and structured output design Experience in optimizing RAG pipelines using both structured and unstructured data Experience with orchestration frameworks such as
LangChain, LlamaIndex, Semantic Kernel , or equivalent Experience in generative AI techniques such as GANs, and VAEs Hands-on experience with
vector databases / retrieval systems
such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search Experience with cloud platforms such as
AWS, GCP, or Azure Experience with
Docker, Kubernetes, CI/CD , and production deployment practices Strong understanding of software architecture, scalability, reliability, and distributed systems Experience building
evaluation, testing, and monitoring
for AI systems Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications
Experience fine-tuning or adapting open-source LLMs Advanced knowledge of natural language processing for text generation tasks Experience with
PyTorch, TensorFlow, JAX , or related ML frameworks Experience with
MLOps
tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar Experience building
multi-agent systems
or advanced orchestration workflows Experience with
AI safety, guardrails, red-teaming, privacy, and governance Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems Experience in customer-facing or enterprise SaaS products Experience in semiconductor/manufacturing, retail and e-commerce sectors
of software engineering, machine/deep learning engineering, or applied AI experience 2+ years
of hands-on experience building and deploying
Generative AI / LLM-based systems in production Strong programming skills in
Python
and experience with backend/API development Experience with
LLM application development , including prompt engineering, RAG, tool use, and structured output design Experience in optimizing RAG pipelines using both structured and unstructured data Experience with orchestration frameworks such as
LangChain, LlamaIndex, Semantic Kernel , or equivalent Experience in generative AI techniques such as GANs, and VAEs Hands-on experience with
vector databases / retrieval systems
such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search Experience with cloud platforms such as
AWS, GCP, or Azure Experience with
Docker, Kubernetes, CI/CD , and production deployment practices Strong understanding of software architecture, scalability, reliability, and distributed systems Experience building
evaluation, testing, and monitoring
for AI systems Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications
Experience fine-tuning or adapting open-source LLMs Advanced knowledge of natural language processing for text generation tasks Experience with
PyTorch, TensorFlow, JAX , or related ML frameworks Experience with
MLOps
tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar Experience building
multi-agent systems
or advanced orchestration workflows Experience with
AI safety, guardrails, red-teaming, privacy, and governance Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems Experience in customer-facing or enterprise SaaS products Experience in semiconductor/manufacturing, retail and e-commerce sectors