DNA325

AI API Automation CRM HubSpot +8 skills

AI Engineer

Open 46d RemoteContract

Hands-on AI/automation engineer who owns the AI stack end to end for a founder-led venture studio and family office: building production LLM agents, research and scoring systems, inbox triage, and CRM/outreach workflows using LLMs, APIs, Make/n8n/Zapier, Python, RAG and agent frameworks, plus light ops upkeep of Notion, Google Workspace and HubSpot.

AI API Data Pipelines Fine Tuning JAX +7 skills

Applied AI Engineer

Open 46d Remote

Applied AI Engineer at an AI-native, remote-first product startup reimagining email, notes, and task tools. Day to day: own AI features end-to-end — prompt, tool, memory, and agent design, model fine-tuning and serving — turning model output into reliable product behavior using Python, PyTorch/JAX, vLLM, and vector DBs.

Applied AI Engineer (ES, PT)

AI API Data Pipelines Fine Tuning JAX +7 skills

An Applied AI Engineer joins a remote-first, AI-native startup (client of DNA325) building AI-native replacements for email, notes, and task tools. The engineer ships AI features end-to-end — prompts, agents, memory, inference infra — using Python, PyTorch/JAX, LLM APIs, vLLM, and vector databases.

Backend Engineer: AI / Agent Systems

AI Anthropic API Distributed Systems Docker +10 skills

Backend engineer who owns the AI inference and orchestration layer behind the product — building and operating production APIs between LLMs and users, and optimizing latency, throughput, caching, streaming, and reliability. Stack: Python, Node.js, PyTorch, OpenAI/Anthropic/open-source LLMs, SQL/NoSQL, Kubernetes, Docker.

Backend Engineer: AI / Agent Systems (ES)

AI Anthropic API Distributed Systems Docker +10 skills

Backend engineer owning the inference and orchestration layer for an AI-native productivity product — building and operating production services that serve LLM-powered features with low latency, high throughput, and reliability. Stack: Python, Node.js, PyTorch, LLM APIs (OpenAI/Anthropic), SQL/NoSQL, Kubernetes, Docker.

AI Cloud Data Pipelines Distributed Systems GPU +12 skills

Machine Learning Platform Engineer

Open 46d Remote

Builds and runs the ML infrastructure powering an AI-native product company's stack — covering model training, evaluation, deployment, inference, observability, and cost/performance optimization. Core technologies include Python, PyTorch/JAX, LLM serving tools (vLLM, SGLang, TensorRT-LLM), cloud and GPU infrastructure, and vector databases.

Member of Technical Staff, Machine Learning

AI Data Pipelines Fine Tuning JAX Machine Learning +2 skills

Join an AI-native productivity company's small team to build core ML components across data, training, evaluation, and inference — fine-tuning models, building data pipelines, and debugging real production ML systems using Python, PyTorch/JAX, and GPUs, while shipping iteratively under latency, cost, and reliability constraints.

Member of Technical Staff, Machine Learning (remote, Spain)

AI Data Pipelines Fine Tuning JAX Machine Learning +2 skills

Machine learning engineer building core ML components — data pipelines, training, evaluation, and inference — for an AI-native productivity product (reimagined email/notes/tasks), shipping and debugging real production ML on GPUs. Core stack: Python, PyTorch/JAX.

AI Deep Learning DeepSpeed Distributed Training Fine Tuning +10 skills

Principal Machine Learning Engineer

Open 46d RemotePrincipal

Principal Machine Learning Engineer turning research direction into production-grade ML systems for an AI-native productivity startup: building end-to-end training, evaluation, and inference pipelines, fine-tuning large models, and optimizing GPU deployment. Core stack spans PyTorch/JAX, distributed training frameworks (DeepSpeed, FSDP, Ray), and LLM inference tooling.

Open 46d RemoteContractSenior

Senior Freelance Recruiter (Tech | Commission-Based)

Senior Freelance Recruiter (Tech | Commission-Based) We are expanding a network of experienced freelance recruiters who can deliver strong candidates for tech roles across Europe. This role is not for beginners or…

AI Data Pipelines GPU JAX Machine Learning +2 skills

Senior Machine Learning Engineer

Open 46d RemoteSenior

A senior machine learning engineer owns critical production ML subsystems end-to-end for an AI-native product company building proactive email/notes/task tools — covering data prep, training, evaluation, inference, and debugging with Python, PyTorch/JAX, and GPU-based systems.

AI Data Pipelines GPU JAX Machine Learning +2 skills

Staff Machine Learning Engineer

Open 46d RemoteStaff

Technical Lead for Machine Learning at an AI-native product startup, owning end-to-end production ML systems: data pipelines, fine-tuning (LoRA, QLoRA, SFT, DPO, distillation), scalable inference, GPU optimization, and evaluation. Core stack is Python with PyTorch/JAX on GPU-based training and inference infrastructure.

AI Data Pipelines GPU JAX Machine Learning +2 skills

Technical Lead, Machine Learning

Open 46d RemoteLead

Technical Lead, ML at an AI-native product company (a DNA325 client) rebuilding email, notes, and task tools. Owns end-to-end production ML: data pipelines, fine-tuning (LoRA, QLoRA, SFT, DPO, distillation), evaluation, and GPU-based inference deployment. Core stack: Python, PyTorch/JAX, GPU training and inference systems.