Altimate AI
Senior Data Scientist - AI/ML Engineer
Altimate AI, Sunnyvale, California, United States, 94087
Senior Data Scientist - AI/ML Engineer
Join Altimate AI as a Senior Data Scientist - AI/ML Engineer. Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI‑driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.
Team We are Silicon Valley veterans who previously created category‑defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely and are backed by prominent advisors and VC firms with multi‑billion dollar portfolios.
What we’re looking for? We’re in search of a Senior Generative AI Engineer who brings deep expertise in building and deploying large language models and AI systems at scale. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide.
Professional Experience
5+ years of hands‑on ML/AI experience with at least 1 year of hands‑on experience in GenAI/LLM projects
Track record of successfully deploying ML/AI systems in production environments
Experience working with enterprise customers and understanding their unique requirements
Technical Skills Required
Strong programming skills in Python, including expertise in the ML stack (Hugging Face, NumPy, Pandas, scikit‑learn)
Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
API development expertise (FastAPI) and production deployment experience
Proven experience with prompt engineering best practices and LLM evaluation metrics
Technical Skills Preferred
Infrastructure & Deployment
Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
Experience with observability and monitoring of LLM applications
Proficiency in model compression, distillation, and deployment at scale
Model Development & LLMs
Expertise in semantic search and embedding models
Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems
Advanced model fine‑tuning techniques, including LoRA, Prompt Tuning, and Adapter Training
Why you should join Altimate AI? Opportunity to work on cutting‑edge AI technology, shape industry‑leading products, and leave a lasting impact on enterprise data operations. We offer a collaborative, intellectually stimulating environment and a chance to contribute to open‑source initiatives.
Projects You’ll Work On
Advanced AI Agent Architecture: Design and implement sophisticated multi‑agent systems that understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
Large‑Scale RAG Systems: Build and optimize retrieval‑augmented generation pipelines that efficiently process and utilize enterprise‑scale knowledge bases.
Model Optimization & Deployment: Implement techniques (LoRA, Prompt Tuning) to adapt off‑the‑shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
Scalable AI Infrastructure: Develop and optimize cloud‑native architectures (AWS, Kubernetes) for large‑scale training, inference, and multi‑agent orchestration.
Enterprise Security & Compliance: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.
Impact
Innovation Leadership: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI‑driven automation.
Product Development: Direct influence on our flagship products, DataPilot and DataMates, working on cutting‑edge features that define the next generation of AI‑powered data tools.
Team Growth: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices.
Open Source Contribution: Lead and contribute to our open‑source initiatives, establishing yourself as a thought leader in the AI community.
Technical Growth: Opportunity to work with the latest advancements in AI technology and shape the architecture of next‑generation AI systems.
What we offer
Competitive salary and equity
Base Salary Range: $185,000 – $250,000
Equity: 0.05% – 0.5%
Access to cutting‑edge AI infrastructure and resources
Team offsite and opportunities to attend and present at leading industry conferences
Learning budget for AI courses, books, and computing resources
Dynamic and intellectually stimulating work environment with a team of talented engineers
Opportunities to shape the direction of the company and leave a lasting impact
#J-18808-Ljbffr
Team We are Silicon Valley veterans who previously created category‑defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely and are backed by prominent advisors and VC firms with multi‑billion dollar portfolios.
What we’re looking for? We’re in search of a Senior Generative AI Engineer who brings deep expertise in building and deploying large language models and AI systems at scale. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide.
Professional Experience
5+ years of hands‑on ML/AI experience with at least 1 year of hands‑on experience in GenAI/LLM projects
Track record of successfully deploying ML/AI systems in production environments
Experience working with enterprise customers and understanding their unique requirements
Technical Skills Required
Strong programming skills in Python, including expertise in the ML stack (Hugging Face, NumPy, Pandas, scikit‑learn)
Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
API development expertise (FastAPI) and production deployment experience
Proven experience with prompt engineering best practices and LLM evaluation metrics
Technical Skills Preferred
Infrastructure & Deployment
Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
Experience with observability and monitoring of LLM applications
Proficiency in model compression, distillation, and deployment at scale
Model Development & LLMs
Expertise in semantic search and embedding models
Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems
Advanced model fine‑tuning techniques, including LoRA, Prompt Tuning, and Adapter Training
Why you should join Altimate AI? Opportunity to work on cutting‑edge AI technology, shape industry‑leading products, and leave a lasting impact on enterprise data operations. We offer a collaborative, intellectually stimulating environment and a chance to contribute to open‑source initiatives.
Projects You’ll Work On
Advanced AI Agent Architecture: Design and implement sophisticated multi‑agent systems that understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
Large‑Scale RAG Systems: Build and optimize retrieval‑augmented generation pipelines that efficiently process and utilize enterprise‑scale knowledge bases.
Model Optimization & Deployment: Implement techniques (LoRA, Prompt Tuning) to adapt off‑the‑shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
Scalable AI Infrastructure: Develop and optimize cloud‑native architectures (AWS, Kubernetes) for large‑scale training, inference, and multi‑agent orchestration.
Enterprise Security & Compliance: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.
Impact
Innovation Leadership: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI‑driven automation.
Product Development: Direct influence on our flagship products, DataPilot and DataMates, working on cutting‑edge features that define the next generation of AI‑powered data tools.
Team Growth: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices.
Open Source Contribution: Lead and contribute to our open‑source initiatives, establishing yourself as a thought leader in the AI community.
Technical Growth: Opportunity to work with the latest advancements in AI technology and shape the architecture of next‑generation AI systems.
What we offer
Competitive salary and equity
Base Salary Range: $185,000 – $250,000
Equity: 0.05% – 0.5%
Access to cutting‑edge AI infrastructure and resources
Team offsite and opportunities to attend and present at leading industry conferences
Learning budget for AI courses, books, and computing resources
Dynamic and intellectually stimulating work environment with a team of talented engineers
Opportunities to shape the direction of the company and leave a lasting impact
#J-18808-Ljbffr