Qureos Mentor

Sbt Global

<div>Company Description 
On-Site
1yr contract
$10950/month 
Job Description 
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:<ul><li>
Design and develop algorithms for generative models using deep learning techniques</li><li>
Design and build LLM-powered applications for internal and/or customer-facing use cases</li><li>
Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems</li><li>
Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration</li><li>
Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate</li><li>
Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability</li><li>
Implement prompt engineering, structured outputs, tool calling, and model optimization strategies</li><li>
Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices</li><li>
Build monitoring, observability, and feedback loops for model and application performance in production</li><li>
Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems</li><li>
Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities</li><li>
Mentor other engineers and contribute to architecture, technical direction, and engineering best practices</li></ul> 
Qualifications 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Machine Learning, or a related field</li><li>
5+ years of software engineering, machine/deep learning engineering, or applied AI experience</li><li>
2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production</li><li>
Strong programming skills in Python and experience with backend/API development</li><li>
Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design</li><li>
Experience in optimizing RAG pipelines using both structured and unstructured data</li><li>
Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent</li><li>
Experience in generative AI techniques such as GANs, and VAEs</li><li>
Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search</li><li>
Experience with cloud platforms such as AWS, GCP, or Azure</li><li>
Experience with Docker, Kubernetes, CI/CD, and production deployment practices</li><li>
Strong understanding of software architecture, scalability, reliability, and distributed systems</li><li>
Experience building evaluation, testing, and monitoring for AI systems</li><li>
Strong communication skills and ability to work closely with technical and non-technical stakeholder</li></ul> 
Preferred Qualifications<ul><li>
Experience fine-tuning or adapting open-source LLMs</li><li>
Advanced knowledge of natural language processing for text generation tasks</li><li>
Experience with PyTorch, TensorFlow, JAX, or related ML frameworks</li><li>
Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar</li><li>
Experience building multi-agent systems or advanced orchestration workflows</li><li>
Experience with AI safety, guardrails, red-teaming, privacy, and governance</li><li>
Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems</li><li>
Experience in customer-facing or enterprise SaaS products</li><li>
Experience in semiconductor/manufacturing, retail and e-commerce sectors</li></ul> 

Additional Information 
All your information will be kept confidential according to EEO guidelines.</div>

Senior Generative AI Engineer

<div>Company Description 
This Project Management position focuses on developing and implementing applications. The role requires identifying business opportunities through continuous client engagement, analyzing user requirements, and designing systems. Key responsibilities include conducting user acceptance testing, gathering customer feedback, and iteratively enhancing products based on market demands and user insights. 
Onsite
1year contract term
Location - Ridgefield Park NJ
Salary - $10,190/month 
Job Description 
Responsibilities:<ul><li>
Analyze business processes and user requirements to identify AI implementation opportunities</li><li>
Design and implement Generative AI solutions using Python-based C/S architectures</li><li>
Create and test application prototypes to validate solutions</li><li>
Transform complex business workflows into intelligent automation solutions</li><li>
Develop business cases and implementation strategies for AI applications</li><li>
Lead end-to-end AI system design and deployment</li><li>
Manage product lifecycle from conception to delivery</li><li>
Coordinate user acceptance testing and integrate feedback for continuous improvement</li><li>
Ensure regulatory compliance in system design and implementation</li><li>
Build relationships with company affiliates and external stakeholders</li></ul> 
Qualifications 
<ul><li>
7+ years of experience in IT project management</li><li>
5+ years of experience in business development</li><li>
7+ years of experience in financial services with in-depth knowledge of mortgage origination processes, loan processing workflows, underwriting guidelines, and related compliance requirements</li><li>
Proven experience in data analytics systems administration</li></ul> 
Technical Skills:<ul><li>
Mid+ level Python/Java development</li><li>
AI/Machine Learning technologies</li><li>
Enterprise systems integration</li><li>
Data modeling and architecture</li><li>
Advanced analytics implementation</li></ul> 
Core Competencies:<ul><li>
Strong analytical and systems design capabilities</li><li>
Expertise in translating complex financial processes into AI-driven solutions</li><li>
Advanced Python programming proficiency</li><li>
Extensive experience with mortgage technology platforms</li></ul> 
Preferred Qualifications:<ul><li>
Comprehensive knowledge of regulatory frameworks (Dodd-Frank, RESPA)</li><li>
Cloud computing expertise</li><li>
English-Korean bilingual proficiency</li></ul> 

Additional Information 
All your information will be kept confidential according to EEO guidelines.</div>

Project Manager

<div>Company Description 
1 yr Contract
Pay Rate: $20-26/hr DOE
Work Hours: 08:00~17:00 (night shift available upon request)
Korean Bilingual Required 
Job Description 
<ul><li>
Manage and process all damage-related claims, covering both finished goods and raw material components in the warehouses</li><li>
Identify, investigate, and document damages (handling, transportation, storage, production, etc.)</li><li>
Coordinate claim resolution with internal departments including production, logistics, quality, warehouse, and finance</li><li>
Prepare and submit claim documentation to internal departments, vendors, carriers, and other interested party</li><li>
Track claim status, recovery progress, and closure timelines</li><li>
Maintain comprehensive claim records and develop periodic damage and claim trend reports</li><li>
Support internal audits and compliance requirements related to damage and claim management</li></ul> 

Qualifications 
<ul><li>
Korean Bilingual Required</li><li>
Minimum 1 years of experience in claim management, quality, logistics, warehouse, or manufacturing operations</li><li>
Hands-on experience handling product or material damage cases in a manufacturing or plant environment</li><li>
Strong investigation, documentation, and cross-functional coordination skills</li><li>
Ability to manage multiple claim cases simultaneously</li><li>
Proficiency in MS Excel</li></ul>
Preferred Qualifications<ul><li>
Experience in manufacturing plants handling both finished goods and raw materials</li><li>
Familiarity with internal claim processes, vendor claims, and insurance handling</li><li>
Experience working with external suppliers, carriers, or insurance companies</li></ul> 

Additional Information 
All your information will be kept confidential according to EEO guidelines.</div>

Logistics Claim Specialist (Korean Bilingual)

Join Sbt Global and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Sbt Global

About Company

Senior Generative AI Engineer

Project Manager

Logistics Claim Specialist (Korean Bilingual)