Generative AI Engineer
Generative AI Engineer
Posted on :
29-08-2025
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1 Vacancy
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Job Description
Job Title: Generative AI Engineer
Location: Austin TX
Domain: Automotive
Duration: Long Term Contract
Work Authorization: W2 candidates only (No C2C)
Responsibilities:
- Provide technical leadership in developing and implementing Generative AI solutions for enterprise-grade applications.
- Design fine-tune and deploy large language models (LLMs) and multimodal models tailored to solve specific business challenges.
- Collaborate with product managers and engineering teams to translate business problems into scalable AI solutions.
- Architect build and operationalize MLOps pipelines to support the full lifecycle of generative AI models including data preparation model training validation deployment and monitoring.
- Lead POC development and evaluation of cutting-edge open-source and commercial AI models (e.g. GPT Claude Gemini Mistral).
- Advocate for and implement responsible AI practices including fairness transparency privacy and security in model development and deployment.
- Research and adopt state-of-the-art GenAI techniques such as Retrieval-Augmented Generation (RAG) prompt engineering agent-based workflows (LangGraph CrewAI) and vector database optimization.
- Actively contribute to AI community discussions within the organization; share reusable frameworks templates and tools.
- Develop reusable AI services using APIs and microservices architecture for integration into downstream platforms.
Required Qualifications:
- 8 years of overall experience in data science/ML with at least 8 years focused on Generative AI NLP or foundation models.
- Strong proficiency in Python and libraries like PyTorch Hugging Face Transformers LangChain OpenAI SDK.
- Expertise in LLM tuning techniques: instruction tuning RLHF quantization Lora etc.
- Experience with vector databases like FAISS Pinecone Weaviate or Chroma.
- Deep understanding of foundational models tokenization strategies and transformer architectures.
- Hands-on experience building agentic frameworks (LangGraph Autogeny CrewAI).
- Experience working with GPU environments and distributed training setups.
- Familiarity with Azure AI Studio Vertex AI or AWS Bedrock for cloud-native model deployment.
- Strong understanding of secure APIs scalable inference infrastructure and observability frameworks (e.g. Prometheus Grafana).
Best Regards:
Tina
Phone: 1-
Email:
Employment Type
Full-time
Key Skills
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