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Senior Generative AI Engineer - New York City, NY, Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA.
TechniPros, LLCNew York, NY🇺🇸United StatesPosted 29 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Job Title: Senior Generative AI Engineer
Location: New York City, NY, Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA.
Contact: 12+ Months
Looking for W2 candidates. No C2C
Job Summary:
- We are seeking an experienced Senior Generative AI Engineer with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI/ML, and Generative AI.
- The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI applications leveraging modern GenAI frameworks and cloud technologies.
Key Responsibilities:
- Design and develop Generative AI applications using Python.
- Build enterprise AI solutions using LLMs (GPT, OpenAI, open-source models).
- Implement prompt engineering strategies to improve model performance.
- Develop AI pipelines using Langchain, Llama Index, or similar frameworks.
- Design and develop REST APIs for AI services.
- Build semantic search solutions using vector databases such as Pinecone, FAISS, or Weaviate.
- Implement and optimize RAG architecture.
- Fine-tune and evaluate AI models for scalability and performance.
- Deploy AI applications on AWS, Azure, or Google Cloud Platform.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
- Ensure responsible AI practices including governance, bias mitigation, and security.
Required Skills:
- Python
- Generative AI
- Large Language Models (LLMs)
- AI/ML
- Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- Langchain / Llama Index
- OpenAI APIs
- NLP
- PyTorch or TensorFlow
- FastAPI / Flask
- REST API Development
- AWS / Azure / Google Cloud Platform
- Git
- CI/CD
Preferred Skills:
- Fine-tuning LLMs
- Vector embeddings and semantic search
- Docker
- Kubernetes
- MLOps
Best Regards:
Peerbhi SK
Phone:
Email:
Skills
Docker
FastAPI
Flask
AWS
MLOps
NLP
Azure
GPT
Generative AI
Git
Google Cloud
Kubernetes
PyTorch
Python
REST
TensorFlow
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