Diverse Lynx
Generative AI Application Engineer
Job Summary
We are seeking a highly skilled and motivated Generative AI (GenAI) Application Engineer to join our team in Austin, TX.
The ideal candidate will have hands-on experience in building and deploying GenAI applications using Python, as well as 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.
This hybrid role requires being on site three (3) days a week and allows for remote work two (2) days a week.
Key Responsibilities • Design and develop GenAI-powered applications using Python and modern AI frameworks. • Engineer and optimize prompts for LLMs. • Implement RAG pipelines aggregating data from such diverse sources 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 • Experience with AI and 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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Job Summary
We are seeking a highly skilled and motivated Generative AI (GenAI) Application Engineer to join our team in Austin, TX.
The ideal candidate will have hands-on experience in building and deploying GenAI applications using Python, as well as 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.
This hybrid role requires being on site three (3) days a week and allows for remote work two (2) days a week.
Key Responsibilities • Design and develop GenAI-powered applications using Python and modern AI frameworks. • Engineer and optimize prompts for LLMs. • Implement RAG pipelines aggregating data from such diverse sources 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 • Experience with AI and 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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.