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Job Title: Generative AI Engineer
Location: Houston, TX
Domain: Healthcare
Duration: Long Term Contract
Looking for W2 Candidates. No C2C
Job Summary:
We are seeking a highly skilled and innovative Generative AI Engineer to lead the design and deployment of cutting-edge LLM-powered applications for enterprise use cases. This role requires an individual with a strong foundation in NLP, machine learning, and agentic AI orchestration. You'll collaborate with cross-functional teams to develop systems that automate knowledge retrieval, generate human-like responses, and drive intelligent automation workflows across various business domains.
Key Responsibilities:
Tanuja P
Phone:
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Job Title: Generative AI Engineer
Location: Houston, TX
Domain: Healthcare
Duration: Long Term Contract
Looking for W2 Candidates. No C2C
Job Summary:
We are seeking a highly skilled and innovative Generative AI Engineer to lead the design and deployment of cutting-edge LLM-powered applications for enterprise use cases. This role requires an individual with a strong foundation in NLP, machine learning, and agentic AI orchestration. You'll collaborate with cross-functional teams to develop systems that automate knowledge retrieval, generate human-like responses, and drive intelligent automation workflows across various business domains.
Key Responsibilities:
- Design, build, and fine-tune LLMs and multimodal generative models using state-of-the-art architectures.
- Lead the development of generative AI applications including chatbots, content generation tools, summarizers, and automated document processors.
- Integrate external tools and APIs using agentic workflows (CrewAI, LangChain agents) to build reasoning-capable AI solutions.
- Optimize model inference using quantization, distillation, and hardware-specific acceleration (ONNX, Triton).
- Ensure secure, ethical, and compliant AI use through robust evaluation pipelines and fairness metrics.
- 8 years of experience in AI/ML, with 3 years focused on generative AI or large language models.
- Solid understanding of transformer-based architectures and vector similarity search.
- Experience deploying LLMs (e.g., GPT, LLaMA, Falcon, Claude) in production settings.
- Proven record of using embedding models and retrieval-augmented generation (RAG) to improve contextual accuracy.
- Proficient in Python, with strong experience in PyTorch, Transformers, and LangChain.
- Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, and other LLM providers.
- Familiarity with vector databases (Pinecone, FAISS), orchestration tools, and scalable inference.
- Strong communication and leadership qualities.
- Proven ability to collaborate with cross-functional engineering and product teams.
- Comfortable working in fast-paced, iterative environments.
Tanuja P
Phone:
Email:
