1,728,171open jobs
102,439companies
257,596added this week
Browse all
Salary
$220k – $260k per year
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 20, 2026. Baseten scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Baseten is an American company founded in 2019 that runs machine learning models in production for companies that would rather not operate GPU infrastructure themselves. Its position is inference rather than training: it handles model packaging, autoscaling, cold start latency and multi-cloud capacity, which are the unglamorous problems that determine whether a model-powered product is fast and affordable enough to ship. Headquartered in San Francisco and backed at a multi-billion dollar valuation, it serves companies deploying open and custom models, and it competes with both the hyperscalers and the model providers' own hosted endpoints.

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster.

You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk.

EXAMPLE INITIATIVES

Take a look at these blog posts written by members of our team:

RESPONSIBILITIES

  • Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA.

  • Design the harnesses, execution flows, and guardrails that make AI systems reliable in production.

  • Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams.

  • Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features.

  • Define and instrument evals so you know whether a change actually improved output quality.

  • Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end.

  • Use Baseten's own training and inference products yourself to develop intuition around customer workflows.

  • Identify where AI can replace manual process across the company and build the thing rather than write the proposal.

  • Fix bugs and resolve customer issues with urgency.

REQUIREMENTS

  • 5+ years of experience building and shipping software applications.

  • Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on.

  • Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well.

  • Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on.

  • Proficiency in Python, with fluency in at least one other language.

  • Comfort working autonomously in a fast-moving environment with limited structure.

  • Ability to move between customer-facing product work and internal tooling and automation.

  • Strong communication skills, with the ability to bridge technical depth and business needs.

NICE TO HAVE

  • Experience as a founding engineer or early employee at a startup.

  • Experience building evals, agent observability, or tooling for non-deterministic systems.

  • Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP).

  • Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes.

  • Frontend fluency.

BENEFITS

  • Competitive compensation, including meaningful equity

  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • (U.S. only) Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,728,171 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
San Francisco
$130k – $220k per year • In office • Full-Time • 5+ years exp • San Francisco
Python
Go
Java
Rust
AI/ML
Prompt Engineering
Function Calling
AI Agents
Semantic Search
Semantic Search
Tool Use
Apply
$143k – $193k per year • Equity • In office • Full-Time • Master's Degree • Bellevue
Python
AI/ML
Reinforcement Learning
TensorFlow
PyTorch
Stable-Baselines3
Ray
RLlib
Machine Learning
Apply
$168k – $227k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Bellevue
AI/ML
Fine-tuning
Prompt Engineering
Chain-of-Thought
AI Agents
NLP
LLM
RAG
Few-Shot Learning
Tool Use
Apply
$143k – $193k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Bellevue
Python
Java
C++
AI/ML
Machine Learning
Management
Agile
Apply
$167k – $226k per year • Equity • In office • Full-Time • 5+ years exp • PhD • Bellevue
Python
AI/ML
Reinforcement Learning
TensorFlow
PyTorch
Machine Learning
Apply
≈ $156k – $292k per year (Estimated) • Hybrid • 5+ years exp • Bachelor's Degree • Boston
Python
SQL
Databases
Snowflake
AI/ML
LangGraph
LangChain
LlamaIndex
LoRA
Fine-tuning
Knowledge Distillation
Function Calling
AI Agents
PEFT
QLoRA
PyTorch
CrewAI
RAG
Hallucination
Hugging Face
LLMOps
Human-in-the-Loop
LLM Guardrails
Multi-Agent Systems
Tool Use
Model Distillation
DevOps
Helm
Datadog
CI/CD
Git
AWS
Docker
Kubernetes
Apply
≈ $156k – $292k per year (Estimated) • Hybrid • 5+ years exp • Bachelor's Degree • Boston
Python
AI/ML
LangGraph
LangChain
LlamaIndex
LoRA
MLFlow
Fine-tuning
Quantization
Multimodal AI
Function Calling
AI Agents
PEFT
QLoRA
PyTorch
RAG
Hugging Face
LLMOps
LLM Guardrails
Tool Use
Machine Learning
DevOps
Helm
CI/CD
Git
Docker
Kubernetes
GitHub
GitLab
Apply
In office • Full-Time • Luxembourg City
Python
SQL
Scala
Databases
Amazon Redshift
AI/ML
Spark
DevOps
CloudFormation
AWS
AWS Lambda
Amazon S3
IAM
Amazon CloudWatch
Amazon Kinesis
Analytics
ETL/ELT
AWS Glue
Apply
Product Engineer 8 days ago
In office • Full-Time • 2+ years exp • Bachelor's Degree • Manila
Python
Verilog
C++
VHDL
SAS
DevOps
Windows
Unix
Management
Microsoft Office
Apply
≈ $72k – $177k per year (Estimated) • In office • Full-Time • 5+ years exp • Brisbane • Miami • Montreal
JavaScript
AI/ML
Cursor
Claude
Frontend
Sass
Design
Figma
Apply
$200k – $275k per year • Hybrid • Full-Time • San Francisco
AI/ML
Cursor
Fine-tuning
Reinforcement Learning
Knowledge Distillation
Function Calling
LLM
Synthetic Data
DPO
SFT
PPO
GRPO
Post-training
LLM Evaluation
Baseten
KV Cache
Agentic Workflows
Tool Use
Model Distillation
Reward Modeling
Machine Learning
Apply
AI Engineer 1 month ago
$175k – $190k per year • Hybrid • Full-Time • 3+ years exp • San Francisco
Databases
Databricks
Google BigQuery
BigQuery
AI/ML
Cursor
Claude
Claude Code
OpenAI Codex
OpenAI Agents SDK
Baseten
Mastra
Vercel AI SDK
Machine Learning
DevOps
Vercel
Management
Notion
n8n
Zapier
Apply
$165k – $330k per year • Hybrid • Full-Time • 4+ years exp • San Francisco • New York • Toronto • Montreal • Seattle
Python
Go
AI/ML
Cursor
Claude
Spark
Claude Code
Model Context Protocol
Function Calling
AI Agents
LLM
OpenAI Codex
LLM Evaluation
LLM Guardrails
Baseten
Tool Use
Machine Learning
DevOps
CI/CD
Docker
Kubernetes
Management
Notion
Apply
AI Inference Engineer 2 months ago
$165k – $330k per year • Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco • New York • Toronto • Montreal
Python
AI/ML
Cursor
Spark
ComfyUI
Whisper
Baseten
Machine Learning
DevOps
Docker
Management
Notion
Apply
$200k – $275k per year • Hybrid • Full-Time • San Francisco
AI/ML
Cursor
Reinforcement Learning
Knowledge Distillation
TensorFlow
PyTorch
Ray
SFT
Post-training
InfiniBand
Baseten
KV Cache
Model Distillation
Machine Learning
DevOps
SLURM
Kubernetes
HPC
Apply
AI Developer (US) 1 day ago
$60k – $150k per year • In office • Full-Time • Bachelor's Degree • San Francisco
Python
JavaScript
AI/ML
Scikit-learn
Prompt Engineering
TensorFlow
PyTorch
Machine Learning
Apply
≈ $151k – $331k per year (Estimated) • In office • Full-Time • San Francisco
Apply
$173k – $260k per year • In office • Full-Time • 10+ years exp • PhD • San Francisco
Python
Databases
ElasticSearch
AI/ML
AI Agents
RAG
Agentforce
Multi-Agent Systems
DevOps
Splunk
Terraform
GCP
Prometheus
AWS
Kubernetes
Grafana
Service Mesh
Self-Healing
DNS
Apply
$173k – $260k per year • Remote (United States) • Full-Time • PhD • San Francisco
Python
Go
JavaScript
SQL
Ruby
Ruby
Ruby on Rails
Databases
PostgreSQL
pgvector
AI/ML
Embeddings
AI Agents
LLM
RAG
Reranking
Hybrid Search
Agentforce
Multi-Agent Systems
Apply
≈ $84k – $170k per year (Estimated) • In office • Full-Time • 3+ years exp • San Francisco
Apply
See all jobs
This is one of many
1,728,171 more open roles from verified company boards, updated every day.