Senior network engineer

Ridgefield Park, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

About the Role

We are seeking a Senior Generative AI Engineer to design build and deploy production-grade AI applications powered by large language models (LLMs). In this role you will lead the end-to-end development of Generative AI solutions including LLM-powered applications retrieval-augmented generation (RAG) systems agentic workflows model evaluation pipelines and production infrastructure.

You will work cross-functionally with product finance data and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value.

Job Description:

Design and develop algorithms for generative models using deep learning techniques
Design and build LLM-powered applications for internal and/or customer-facing use cases
Develop and productionize RAG pipelines using enterprise data sources vector databases and retrieval systems
Build and optimize AI agents / agentic workflows for task automation reasoning and orchestration
Integrate model providers such as OpenAI Anthropic Azure OpenAI AWS Bedrock and open-source models where appropriate
Create robust evaluation frameworks for response quality factuality latency safety and reliability
Implement prompt engineering structured outputs tool calling and model optimization strategies
Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices
Build monitoring observability and feedback loops for model and application performance in production
Establish and maintain guardrails responsible AI practices and security controls for enterprise AI systems
Collaborate with product managers designers and business stakeholders to identify high-impact AI opportunities
Mentor other engineers and contribute to architecture technical direction and engineering best practices

Qualifications :

Required Qualifications

Bachelors degree in Computer Science Engineering Machine Learning or a related field
5 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

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Employment Type :

Full-time

About the RoleWe are seeking a Senior Generative AI Engineer to design build and deploy production-grade AI applications powered by large language models (LLMs). In this role you will lead the end-to-end development of Generative AI solutions including LLM-powered applications retrieval-augmented ge...