Home › Companies › Wjcompany › Sr. Gen AI Engineer
Sr. Gen AI Engineer
Wjcompany · Ridgefield Park, NJ, United States · Deleted · $110,000–$130,000 / year · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Wjcompany |
| Title | Sr. Gen AI Engineer |
| Normalized title | - |
| Department / team | Engineering |
| Location | Ridgefield Park, NJ, United States |
| Work model | - |
| Employment type | Contract |
| Salary | $110,000–$130,000 / year |
| Status | deleted |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-04-24 / 2026-05-31 |
| Changed / last seen | 2026-06-03 / 2026-06-01 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Wjcompany. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Ridgefield Park. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Wjcompany |
| Source | 546b3a92-2e5e-4632-9534-3182bb50ff81 |
| ATS provider | SmartRecruiters |
Description
For More Open Positions Visit us at:
http://recruiting.woongjininc.com/
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
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
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, 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
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
All your information will be kept confidential according to EEO guidelines.
*** NO C2C ***
Full job record
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| Org ID | 275d81fc-2dae-4c04-8e59-db34a149798d |
| Source ID | 546b3a92-2e5e-4632-9534-3182bb50ff81 |
| Board ID | 546b3a92-2e5e-4632-9534-3182bb50ff81 |
| Provider | smartrecruiters |
| Provider Job Key | 744000122722148 |
| Title | Sr. Gen AI Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Ridgefield Park, NJ, United States |
| Department | Engineering |
| Team | — |
| Employment Type | contract |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NJ |
| City | Ridgefield Park |
| Salary Raw | USD 110000-130000 year |
| Salary Min | 110,000 |
| Salary Max | 130,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.smartrecruiters.com/WJCompany/744000122722148-sr-gen-ai-engineer |
| Apply URL | https://jobs.smartrecruiters.com/WJCompany/744000122722148-sr-gen-ai-engineer?oga=true |
| First Seen At | 2026-05-31 17:37:46Z |
| Last Seen At | 2026-06-01 10:23:08Z |
| Last Checked At | 2026-06-03 10:51:28Z |
| Last Changed At | 2026-06-03 10:51:28Z |
| Inactive At | 2026-06-03 10:51:28Z |
| Source Posted At | 2026-04-24 15:50:58Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=smartrecruiters/board=wjcompany/date=2026-06-01/2026-06-01T10-23-01-761Z-a12d66b59a89c78101c0ef3245357cdf39437551b2a2990dccf23888dc9f0f30.json |
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