Overview
Skills
Job Details
Role: Generative AI Engineer LLM & Cloud (Hybrid 3 Days Onsite/Week)
Financial Client
Location: Weehawken, NJ
Duration: 12+ months
No O Pts and H Ones for this Role.
Job Decription:
We are looking for a skilled and forward-thinking Generative AI Engineer with deep experience in Large Language Models (LLMs) such as ChatGPT, LLaMA, DeepSeek, and Vertex AI. The ideal candidate will have a solid understanding of prompt engineering, fine-tuning, embeddings, and model deployment, along with expertise in leveraging cloud platforms (AWS, Google Cloud Platform, or Azure) to scale AI solutions.
Must skills:
- AI(Artificial Intelligence )
- ML(Machine Learning)
- NLP(Natural Language Processing)
- LLMs (Large language models)
- Chatbot/ Python, Generative AI , MLOps, sentiment analysis, and text generation techniques
- Any one cloud (AWS/ Azure/ Google Cloud Platform)
Key Responsibilities:
- Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies
- Develop proof-of-concepts and prototypes to validate architectural decisions
- Lead the integration of the chatbot with internal systems, databases, and APIs
- Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives
- Implement best practices for AI model deployment, monitoring, and continuous improvement
- Provide technical leadership and mentorship to the development team
- Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture
Required Qualifications:
- 10+ years of experience in software development, with a focus on AI and machine learning
- Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo
- Strong hands-on experience with Python, LLMs, and Generative AI technologies
- Deep understanding of natural language processing, sentiment analysis, and text generation techniques
- Expertise in cloud platforms (AWS, Azure, or Google Cloud Platform) for AI model deployment and scaling
- Experience with MLOps practices and tools for model lifecycle management
- Strong problem-solving skills and ability to translate complex business requirements into technical solutions
- Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders
Best Regards
Kyle,
Sr. US IT Recruiter
Infinity Tech Group Inc,
12 N Route 17 Suite # 201 Paramus NJ 07652
(Office) Ext 327
Email:
LinkedIn:
Certifications: NMSDC / WBENC and MWBE Certified
Awards: Fast 50 Asian American businesses in USA
Partners: SAS Partner
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