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Sr. Gen AI Engineer

Ridgefield Park, NJ, US • Posted 3 hours ago • Updated 3 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Leadership
Health Insurance
Insurance
Algorithms
Use Cases
Reasoning
Optimization
Security Controls
Collaboration
Mentorship
Technical Direction
Computer Science
Software Engineering
Deep Learning
Python
API
Application Development
Prompt Engineering
Unstructured Data
LangChain
LlamaIndex
Semantics
Vector Databases
Elasticsearch
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Software Architecture
Scalability
Testing
Communication
Open Source
Natural Language Processing
PyTorch
TensorFlow
JAX
Machine Learning Operations (ML Ops)
Amazon SageMaker
Vertex
Microsoft Azure
Machine Learning (ML)
Orchestration
Workflow
Privacy
Customer Facing
SaaS
Semiconductor Fabrication
Retail
Electronic Commerce
User Experience
Evaluation
Artificial Intelligence
Generative Artificial Intelligence (AI)

Summary

Company Description

For More Open Positions Visit us at:
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Our Mission

WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.

Benefits
Medical Insurance
Vision Insurance
Dental Insurance
401(k)
Paid Sick hours

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
Bachelor's 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, Google Cloud Platform, 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

What Success Looks Like
Deliver production-ready GenAI features that improve user experience and business outcomes
Build reliable and scalable AI systems with strong quality, latency, and cost performance
Establish best practices for evaluation, observability, and responsible AI development
Help define the company's long-term Generative AI architecture and roadma

Additional Information

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

*** NO C2C ***

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Dice Id: 90803333
Position Id: 7a3981a7403e089c703e4209b8159165
Posted 3 hours ago

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