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Senior Generative AI Engineer - Philadelphia, PA, Wilmington, DE, Columbus, OH, Chicago, IL, Minneapolis, MN, Detroit, MI, St. Louis, MO

TechniPros, LLCPhiladelphia, PA🇺🇸United StatesPosted 24 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Senior Generative AI Engineer
Location: Philadelphia, PA, Wilmington, DE, Columbus, OH, Chicago, IL, Minneapolis, MN, Detroit, MI, St. Louis, MO.
Long Term Contact
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:

Bindu M
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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