GenAI Application Engineer (Python & LLM Prompt Engineering)

Job Title: GenAI Application Engineer (Python & LLM Prompt Engineering)
Location: Austin, TX (Day 1 onsite, 3 days a week)

Job 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.

Required Skills:

• Proficiency in Python and experience with AI/ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
• Strong understanding of LLMs, prompt engineering, and RAG architecture.
• Experience with vector databases
• Familiarity with cloud platforms