⚡ Hiring Velocity — Top 10 AI Companies
New postings this month vs already-tracked. Hover any bar.
🆕 Emerging Roles — Spotted First
Brand-new job titles appearing across AI companies. Each gets a Lab opinion on why it's rising.
Forward Deployed Engineer
143×Engineers who embed directly with enterprise customers to deploy, customize, and ship AI systems in production.
Pioneered at Palantir, the FDE has become the signature hire at frontier labs (OpenAI, Anthropic, Mistral) as they race to turn models into deployed revenue. It barely existed as a title outside Palantir two years ago.
AI Solutions Engineer
139×Technical pre- and post-sales role that translates AI capabilities into concrete enterprise deployments.
Exploding across AI companies as they build go-to-market motions — the bridge between a model API and a paying enterprise customer.
Applied AI Engineer
86×Builds production AI features on top of foundation models — RAG, agents, evals — bridging research and product.
As foundation models commoditize, the value moves to applying them well. 'Applied AI' has become the default engineering title at modern AI companies, distinct from classic ML engineering.
Member of Technical Staff
37×A deliberately flat, level-free title borrowed from OpenAI and Anthropic that blurs the line between researcher and engineer.
Spreading fast across frontier labs as both a culture signal and a hiring lever — it removes ladder friction and lets labs compete for fluid research-engineering talent.
AI Product Manager
33×Owns AI product strategy, evaluation, and the research-to-product bridge — a skill set distinct from traditional PM.
AI PMs must reason about model evals, non-determinism, and capability roadmaps. The role has split off from generic product management as a recognized specialty.
Post-Training Engineer
29×Specializes in RLHF, DPO/GRPO, and preference optimization to align and sharpen base models after pre-training.
Post-training was a research footnote three years ago; it's now its own engineering discipline and a scarce, highly-paid specialty at every lab shipping frontier models.
🏆 Top Skills This Month
Click to learn →📈 Hiring Pulse
🆕 Emerging Roles
New job titles spotted for the first time this month
First spotted at OpenAI
Engineers who embed directly with enterprise customers to deploy, customize, and ship AI systems in production.
First spotted at Databricks
Technical pre- and post-sales role that translates AI capabilities into concrete enterprise deployments.
First spotted at Anthropic
Builds production AI features on top of foundation models — RAG, agents, evals — bridging research and product.
First spotted at xAI
A deliberately flat, level-free title borrowed from OpenAI and Anthropic that blurs the line between researcher and engineer.
First spotted at Datadog
Owns AI product strategy, evaluation, and the research-to-product bridge — a skill set distinct from traditional PM.
First spotted at OpenAI
Specializes in RLHF, DPO/GRPO, and preference optimization to align and sharpen base models after pre-training.
First spotted at CoreWeave
Evangelizes AI APIs, SDKs, and tools to developers through docs, demos, and community.
First spotted at Cresta
Designs and ships autonomous agents that plan, call tools, and execute multi-step tasks with minimal supervision.
🧩 Role Families
AI Infrastructure & Platform Engineer
Build and scale the underlying infrastructure for AI training and deployment
AI Agent Developer
Design and build autonomous AI agents that use tools, plan, and execute multi-step tasks.
Data & Analytics Engineer
Build data pipelines and analytics systems for AI training and operational insights
Machine Learning Engineer - Applied AI
Implement and deploy machine learning models for specific applications and products
AI Security & Governance
Secure AI systems, prevent prompt injection, manage model governance and compliance.
Autonomous Systems & Robotics Engineer
Build autonomous vehicles, drones, and robotic systems for defense and industrial applications
ML Infrastructure & Training
Build the infrastructure for training and serving models at scale. GPU clusters, distributed systems, MLOps.
AI Product Manager
Define AI product strategy, manage model evaluation, bridge research and product.
Inference & Model Optimization
Optimize models for fast, cheap inference. Quantization, distillation, compilation, serving at scale.
Research Scientist
Push the frontier of AI. Publish papers, develop new architectures, advance capabilities.
AI Safety & Red Teaming
Ensure AI systems are safe, aligned, and robust. Red teaming, guardrails, interpretability, evaluation.
Speech & Audio AI
Build speech recognition, text-to-speech, audio generation, and voice AI systems.
LLM / Foundation Model Engineer
Build, fine-tune, and optimize large language models. Pre-training, post-training, RLHF, alignment.
Data & Synthetic Data Engineer
Build data pipelines, curation systems, and synthetic data generation for training AI models.
Robotics & Embodied AI
Build intelligent physical systems. Robot learning, manipulation, sim-to-real, world models.
Computer Vision & Perception Engineer
Develop vision systems for object detection, tracking, and scene understanding
RAG & Search Engineer
Build retrieval-augmented generation systems, semantic search, and knowledge pipelines.
AI Compiler & Kernel Engineer
Write CUDA kernels, ML compilers, and low-level optimizations for AI workloads.
Prompt Engineer & AI UX
Design prompts, evaluation systems, and user experiences for AI products.
Computer Vision & Multimodal
Build systems that understand images, video, and multimodal inputs. Generation, perception, 3D.
🔥 Latest Postings
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