Baseten currently has 26 active AI-related job listings. The majority of these roles, 69%, are focused on serving infrastructure. The dominant function is Engineering, with 24 roles, and hiring is concentrated in the United States. Frequent tech tags include model serving, inference infrastructure, and LLM observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Baseten posted 3 new AI roles, a 25% decrease compared to the previous 30-day period.
Currently tracking 22 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $300k.
Baseten currently has 26 active AI-related roles in our index. The most common open titles are: AI Solutions Engineer, Applied AI Inference Engineer, Data Engineer, Engineering Manager - Forward Deployed Engineering (LLM), Engineering Manager - Model Performance. Most positions are in Engineering and Research.
Baseten's active AI hiring is concentrated in: serving infrastructure (73%), post-training (12%), agents (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Baseten is hiring AI talent in: United States (26 roles).
Job postings at Baseten most frequently reference: model serving, inference infra, llm observability, agent orchestration, tool use.
In the past 30 days, Baseten has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer - GPU Kernels Software Engineer focused on optimizing GPU kernels for ML inference, including matrix multiplications, attention mechanisms, and quantization, using CUDA and PTX assembly. | Serve | 9 |
| Engineering Manager - Forward Deployed Engineering (LLM) Engineering Manager for Forward Deployed Engineering team focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. This role involves hands-on technical ownership, team leadership, and collaboration with product and infrastructure teams to ensure best-in-class performance, reliability, and cost efficiency of AI applications on Baseten's platform. The role contributes to the core codebase and drives feature roadmap, acting as a player-coach. | ServeAgent | 8 |
| Manager, Solutions Architect Manager for a Solutions Architect team focused on enabling customers to deploy and optimize AI/ML models, particularly LLMs, on Baseten's inference platform. The role involves leadership, technical guidance, customer discovery, and ensuring high performance, reliability, and cost efficiency of AI applications in production. | Serve | 8 |
| Software Engineer - Voice AI (Inference Runtime) Software Engineer focused on building and optimizing the inference runtime for Voice AI models, including state-of-the-art open-source models. The role involves developing large-scale, real-time infrastructure for multi-model voice agents, reducing latency, increasing throughput, and improving GPU efficiency. It also includes designing iteration loops for voice model customization and customization. | ServeAgent | 8 |
| Software Engineer - Model APIs Software Engineer role focused on optimizing and operating Model APIs for AI inference, involving distributed systems, model serving, and developer experience. The role emphasizes performance improvements, structured outputs, tool/function calling, and multi-modal serving. | ServeAgent | 8 |
| Engineering Manager - Model Performance Engineering Manager for Model Performance at Baseten, a company providing inference infrastructure for AI companies. The role involves leading a team of engineers to optimize ML model inference and performance, focusing on production-level AI/ML solutions and scaling large models. Requires a strong engineering background, leadership experience, and expertise in ML performance optimization, with hands-on work in areas like TensorRT, PyTorch, and CUDA. | Serve | 8 |
| Software Engineer - Model Performance Software Engineer focused on ML performance for LLM inference, optimizing techniques like quantization and speculative decoding, and debugging ML performance issues in libraries like TensorRT and PyTorch. | Serve | 8 |
| Software Engineer- BIS (Baseten Inference Stack) Software Engineer for Baseten's Inference Stack team, focusing on building and operating the distributed runtime for large-scale LLM inference. The role involves working across the stack from developer experience to low-level infrastructure, ensuring performance, scalability, and reliability of AI model deployments. | Serve | 7 |
| Solution Architect (AI/LLM Inference) Solution Architect role focused on AI/LLM inference, partnering with Sales and customers to design and deploy technical solutions. Responsibilities include customer discovery, technical scoping, leading demos, managing deployments, and driving POC execution. Requires an AI/ML background and customer-facing communication skills, with the ability to script and prototype. | Serve | 7 |
| Applied AI Inference Engineer This role focuses on partnering with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. It involves owning the customer journey from exploration to deployment, translating business goals into reliable, observable services with clear quality, latency, and cost outcomes. The role blends engineering, product management, technical customer success, and pre-sales solution engineering. | ServeAgent | 7 |
| Solution Architect Solution Architect role at Baseten, a company providing AI inference infrastructure. The role involves partnering with Sales and customers to understand business needs, design technical solutions, run technical discovery, and guide deployments and proofs of value. Responsibilities include customer discovery calls, technical scoping, leading demos, owning benchmarking and repeatable deployments across various AI modalities, advising on infrastructure tradeoffs, and driving POC execution. Requires an AI/ML background, strong customer-facing communication, and technical depth to scope solutions. | Serve | 7 |
| Software Engineer — GPU Networking & Distributed Systems Software Engineer focused on GPU Networking and Distributed Systems to optimize AI inference infrastructure, specifically for LLMs and multi-modal models. The role involves integrating RDMA, optimizing networking layers for disaggregated KV cache and WideEP, enabling fast startup speeds, and building observability tools for bleeding-edge hardware. | Serve | 7 |
| Software Engineer, Model Performance Systems Software Engineer role focused on building and optimizing the performance of AI inference infrastructure, including benchmarking, hardware profiling, and developing automated testing and monitoring tools for LLMs. | Serve | 7 |
| Software Engineer - Infrastructure Software Engineer focused on building and maintaining the ML inference platform, enabling high-performance deployment, scaling, and monitoring of AI models for production applications. | Serve | 7 |
| Software Engineer - Core Product Software Engineer on the Core Product team at Baseten, building and maintaining the core Baseten product that enables users to deploy and get value from ML models. The role involves working across the stack, including CLI tools, REST APIs, and the web application, with a focus on new feature development, API design, and bug fixing. Example initiatives include chains for multi-component workflows, asynchronous inference, model APIs, and model training for production inference. | ServeAgent | 7 |
| Forward Deployed Engineer The Forward Deployed Engineer partners with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. This role involves owning the customer journey from exploration to production, translating business goals into reliable services with clear quality, latency, and cost outcomes. It blends engineering, product management, technical customer success, and pre-sales solution engineering. | ServeAgent | 7 |