GenAI Application Engineer (Python & LLM Prompt Engineering)
- Austin, TX
- Permanent
- Full-time
Location: Austin, TX (Day 1 onsite, 3 days a week)Salary Range: $110,000 to 125,000/Annual & for Vendors: $70-73/hr CTCJob Summary:We are seeking a highly skilled and motivated GenAI Application Engineer to join our team in Austin, TX. The ideal candidate will have hands-on experience in building and deploying Generative AI applications using Python, with a strong foundation in LLM prompt engineering, RAG pipelines, and vector database integration. This role involves working closely with cross-functional teams to design, develop, and optimize AI-driven solutions that enhance user experience and operational efficiency.Key Responsibilities:
- Design and develop GenAI-powered applications using Python and modern AI frameworks.
- Engineer and optimize prompts for LLMs.
- Implement Retrieval-Augmented Generation (RAG) pipelines aggregating data from diverse sources such as conversation histories and product documentation
- Integrate and manage vector databases for semantic search and context retrieval.
- Collaborate with product managers, data scientists, and DevOps teams to deliver scalable AI solutions.
- Fine-tune pre-trained LLMs for domain-specific tasks and performance improvements.
- Ensure robust testing, monitoring, and documentation of AI models and pipelines.
- Proficiency in Python and experience with AI/ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
- Agentic AI
- Strong understanding of LLMs, prompt engineering, and RAG architecture.
- Experience with vector databases
- Familiarity with cloud platforms