Generative AI Engineer

Job Title: GenAI Application Engineer (Python & LLM Prompt Engineering) Location: Austin, TX (Onsite) Duration: Long Term Contract 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. Required Skills: • 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 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. If you're interested, feel free to connect! 📩 Email: Anmol@coretek.io | 📞 Phone: +1 816-445-8499