Generative AI Engineer - Austin, Tx

Job Title: Generative AI Engineer
Location: Austin, Tx
Duration: Long Term Contract
Looking for W2 Candidates. No C2C

Responsibilities:

• Architect, develop, and optimize generative AI models including large language models (LLMs) for diverse enterprise use cases.
• Research and prototype advanced generative AI techniques (e.g., transformers, diffusion models, RAG, LoRA).
• Collaborate with data scientists, MLOps teams, and product stakeholders to align generative AI initiatives with business objectives.
• Implement fine-tuning, prompt engineering, and model distillation techniques for performance optimization.
• Integrate generative models into real-time applications and large-scale production pipelines.
• Drive the evaluation of open-source and commercial LLMs for cost, performance, and compliance.
• Create reusable components and APIs for LLM access, tool use, agentic orchestration, and generative tasks.
• Ensure fairness, interpretability, and safety across all deployed GenAI applications.

Qualifications:

• 7+ years of experience in AI/ML; 3+ years in building generative AI systems.
• Hands-on experience with Hugging Face Transformers, LangChain, OpenAI APIs, and vector DBs like Pinecone or FAISS.
• Strong Python programming, including experience with PyTorch or TensorFlow.
• Solid understanding of agentic frameworks (CrewAI, LangGraph) and orchestration tools.
• Prior deployment experience on cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Knowledge of containerization (Docker, Kubernetes) and model lifecycle management (MLflow, Weights & Biases).
• Familiarity with responsible AI, prompt injection mitigation, and safe model usage principles.

Best Regards:

Anusha P
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