StarPlan
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from StarPlan
Location: San Francisco, CA (Hybrid/Remote flexibility)
Company: StarPlan Partner Companies / AI-focused startups
Employment Type: Full-time
About the Role
We are seeking a Generative AI Engineer to design, build, and deploy cutting‑edge AI systems that create, optimize, and automate content and workflows. You will work with large language models (LLMs), multimodal AI, and agent‑based frameworks to power next‑generation products in domains like e‑commerce, SaaS, or enterprise solutions. This role is ideal for engineers who enjoy combining deep AI knowledge with practical software engineering to deliver production‑ready AI applications. Responsibilities
Design, train, and deploy generative AI models (text, code, images, or multimodal). Build pipelines for fine‑tuning, prompt engineering, and evaluation of LLMs or other generative models. Integrate AI models into scalable production applications, APIs, and services. Collaborate with product, design, and data teams to solve real‑world problems using generative AI. Optimize models and systems for latency, accuracy, and efficiency in production environments. Explore and experiment with emerging AI technologies to improve products and workflows. Document AI architectures, experiments, and best practices for internal knowledge sharing. Qualifications
Generative AI Expertise: Hands‑on experience with LLMs, diffusion models, or other generative models. Programming & ML Frameworks: Strong in Python, PyTorch, TensorFlow, or JAX. Experience with API integration, cloud services (AWS, GCP, Azure), and scalable deployments. Familiarity with data pipelines, embeddings, vector databases, and fine‑tuning techniques. Ability to translate AI research into production‑ready solutions. Strong problem‑solving skills and experience collaborating in cross‑functional teams. Preferred Skills
Experience with multi‑agent systems or AI orchestration frameworks (LangChain, AutoGen, etc.). Knowledge of SaaS, e‑commerce, or enterprise software workflows. Contributions to open‑source AI projects or research publications. Pay range and compensation package
Competitive San Francisco salary + equity opportunities. Equal Opportunity Statement
We are committed to diversity and inclusivity. Seniority level
Associate Employment type
Full‑time Job function
Technology, Information and Internet Referrals increase your chances of interviewing at StarPlan by 2x
#J-18808-Ljbffr
We are seeking a Generative AI Engineer to design, build, and deploy cutting‑edge AI systems that create, optimize, and automate content and workflows. You will work with large language models (LLMs), multimodal AI, and agent‑based frameworks to power next‑generation products in domains like e‑commerce, SaaS, or enterprise solutions. This role is ideal for engineers who enjoy combining deep AI knowledge with practical software engineering to deliver production‑ready AI applications. Responsibilities
Design, train, and deploy generative AI models (text, code, images, or multimodal). Build pipelines for fine‑tuning, prompt engineering, and evaluation of LLMs or other generative models. Integrate AI models into scalable production applications, APIs, and services. Collaborate with product, design, and data teams to solve real‑world problems using generative AI. Optimize models and systems for latency, accuracy, and efficiency in production environments. Explore and experiment with emerging AI technologies to improve products and workflows. Document AI architectures, experiments, and best practices for internal knowledge sharing. Qualifications
Generative AI Expertise: Hands‑on experience with LLMs, diffusion models, or other generative models. Programming & ML Frameworks: Strong in Python, PyTorch, TensorFlow, or JAX. Experience with API integration, cloud services (AWS, GCP, Azure), and scalable deployments. Familiarity with data pipelines, embeddings, vector databases, and fine‑tuning techniques. Ability to translate AI research into production‑ready solutions. Strong problem‑solving skills and experience collaborating in cross‑functional teams. Preferred Skills
Experience with multi‑agent systems or AI orchestration frameworks (LangChain, AutoGen, etc.). Knowledge of SaaS, e‑commerce, or enterprise software workflows. Contributions to open‑source AI projects or research publications. Pay range and compensation package
Competitive San Francisco salary + equity opportunities. Equal Opportunity Statement
We are committed to diversity and inclusivity. Seniority level
Associate Employment type
Full‑time Job function
Technology, Information and Internet Referrals increase your chances of interviewing at StarPlan by 2x
#J-18808-Ljbffr