Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI…
What we do msg global solutions leverages cutting-edge technologies, including AI, to solve business challenges. We partner with industry leaders like SAP and AWS to deliver enterprise solutions to Fortune 500…
Job Description This on-premises AI Engineer role merges generative AI and mobile network operations to drive zero-touch automation, predictive maintenance and Autonomous operations objectives. Core Responsibilities:…
Role Overview NTT DATA Americas is looking for a Digital Pre-Sales Technical Architect / AI Solutions Architect to help expand our presence in the North American market. This role will drive growth across Custom…
Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join…
About Us Headquartered in Singapore, SATS Ltd. is one of the world’s largest providers of air cargo handling services and Asia’s leading airline caterer. SATS Gateway Services provides airfreight and ground handling…
Hands-on staff-level technical lead for Picnic's agentic grocery-shopping assistant in Amsterdam: owns architecture and model strategy for multi-turn conversational agents (open-weight LLM fine-tuning, RAG, evaluation, safety guardrails), writes production Python, and mentors engineers to scale the assistant to millions of users.
Remote (Argentina-based) engineer who designs, deploys, and scales the infrastructure behind LLM training, fine-tuning, and inference — managing GPU compute, data pipelines, monitoring, and cloud costs. Core stack: Python, AWS, Docker/Kubernetes, Terraform, PyTorch and LLM serving frameworks.
Senior AI Engineer building the agents and models behind Ares, Assail's autonomous offensive-security platform for APIs, web, and mobile apps. Day to day: agent orchestration and prompting, LLM fine-tuning (SFT, DPO/GRPO), self-training loops, security-specific evals, and production reliability using Python, PyTorch, Hugging Face, vLLM, and Kubernetes.
Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology…
Develops and maintains core database infrastructure and tools for MongoDB’s distributed database systems, focusing on scalability, performance, and reliability in a high-growth tech company.
Yotta Labs is hiring a GPU Cloud Platform Engineer to build and operate large-scale, multi-cluster GPU infrastructure for AI training and inference workloads. Day to day: Kubernetes multi-cluster orchestration, performance benchmarking, monitoring/alerting, and scheduling optimization across NVIDIA/AMD GPUs and cloud data centers.
Inworld, an AI research lab and inference provider serving realtime LLM/speech models at massive scale (10T+ tokens/month), is hiring a Staff/Principal ML Engineer in Mountain View to optimize model inference and serving infrastructure. Core work spans serving frameworks like vLLM/TRT-LLM, GPU performance tuning in C++/CUDA/Rust, and distributed scaling on Kubernetes/Ray. Onsite role with relocati
Staff/Principal ML Engineer optimizing realtime LLM inference at Inworld: taking speech and LLM models from research into high-volume production serving, squeezing latency and throughput out of NVIDIA GPUs with frameworks like vLLM/TRT-LLM, C++/CUDA/Rust, and Kubernetes/Ray at trillion-token monthly scale. UK-based, remote; no visa sponsorship for this role.
Inworld is hiring a Staff/Principal ML engineer to optimize and scale realtime AI inference — taking first-party speech and LLM models from research into high-volume production serving. Core work is GPU inference optimization (vLLM/TRT-LLM, quantization, batching) and distributed serving with C++/CUDA/Rust/Python, remote within Switzerland.
Senior/Lead machine learning engineer optimizing realtime LLM and speech-model inference at Inworld, an AI research lab and inference provider. Day to day: tune serving frameworks like vLLM/TRT-LLM, apply quantization and batching, profile C++/CUDA/Rust code, and scale multi-GPU Kubernetes/Ray serving.
Own the roadmap for WEKA’s Augmented Memory Grid, optimizing LLM inference performance by offloading KV-cache and integrating with engines like vLLM and NVIDIA Triton.
We couldn't check your fit for this role — add a CV to your profile to see it next time.