Gen AI Engineer

Build and maintain AI-enabled workflows and deploy generative AI models across environments up to production.

• Develop AI-enabled workflows
• Perform prompt engineering to support LLM-based applications
• Deploy and maintain AI models across all environments, including Production
• Conduct code review
  , testing
  , and documentation
• Engage in continuous learning in generative AI related fields

• Strong hands-on Python knowledge
• Hands‑on experience building API development in Python using FastAPI or Flask
• Working experience with data processing and AI-enabled workflows using Python
• Knowledge of LLMs
  , prompt engineering
  , RAG architecture
  , and agentic AI
• Basic knowledge of hybrid prompting techniques
• Experience with generative AI tools such as Lang Chain
  , Hugging Face
  , and Llama Index

• Python
• FastAPI, Flask
• LLM, prompt engineering
• RAG architecture, agentic AI
• Lang Chain
• Hugging Face
• Llama Index
• Gemini LLM
• PyTorch, Tensor Flow, Keras
• NLP
• Docker
• Git
• Machine learning frameworks

• Working experience with Gemini LLM
• Hands‑on knowledge in machine learning frameworks such as Py Torch ,
  Tensor Flow
  , Keras
• Hands‑on knowledge in NLP
• Understanding of model deployment and containerization (Docker)
• Understanding of version control systems (Git)
• Awareness of AI compliance
  , data privacy
  , and responsible AI principles

• Dev Ops Engineer

Location: Irving, TX / Tampa, FL / Edison, NJ (onsite)

Salary: USD 115,567 per year