Über
As a software engineering lead for GenAI, you will lead the development of AI-driven enterprise applications, including chatbots. Your role will span the full software stack, including API development, backend development (e.g., LLM orchestration), and managing infrastructure and deployments.
Responsibilities: • Lead the development and deployment efforts of LLM-based enterprise applications, such as chatbots on company data. • Contribute to product roadmap and vision. • Implement and evaluate various LLM application logic ("flows") and prompting strategies and stay up to date with the latest advancements in this field. • Collaborate with other data scientists, software engineers, and product managers to deliver high-quality solutions. • Interact with business stakeholders to gather feedback and tailor solutions to business needs.
Skills: • 12+ years of experience in software engineering, machine learning, data science, or artificial intelligence. • Technical leadership and ownership of the software development life cycle. • Expertise in developing (e.g. using Flask or FastAPI), deploying, and maintaining APIS. • Strong proficiency in Python and JavaScript/TypeScript. • Significant experience with LLM orchestration tools such as LangChain, Semantic Kernel, or Llama Index. • Strong adherence to software best practices in team settings, including version control (Git), CI/CD, documentation, & unit testing. • Experience using common NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy. • Hands-on experience with LLM skills including prompt engineering, fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG). • Exposure to Microsoft Azure or a similar cloud computing ecosystem. • Experience with DevOps/MLOps/LLMOps. • Excellent written and verbal communication and presentation skills. • Ability to work independently and in a team to work productively with business stakeholders.
Job
Type : Contract (W2 Only)
Duration : 12 months
Location : Fremont, CA
Work
Setting : Hybrid
Sprachkenntnisse
- English
Hinweis für Nutzer
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