Owner of the technical layer for Kraken's internal AI platform: build and operate the governed integration gateway, onboard connectors and authentication flows, implement tiered spend and data controls, build internal tooling (agent scaffolding, prompt assets, evaluation harnesses), run enablement and documentation, and administer enterprise AI platform operations including vendor and provisioning management.

Remote senior role based in Latin America focused on network and infrastructure automation and AI adoption. Responsibilities include designing, developing, and maintaining scalable automation (Python, REST APIs, Terraform, Ansible, CI/CD), building AI-powered workflows (GenAI, agentic AI, LLMs, RAG), automating provisioning/monitoring/troubleshooting/compliance, and integrating across network, cloud, security and operational platforms. Preferred experience includes SD-WAN (VeloCloud), Palo Alto, F5, Aruba/Cisco, and multi-cloud (Azure, GCP, OCI).

Lead technical direction for AI-powered full-stack applications, designing scalable Python services and interactive frontends (React/Vue/Angular), architecting data pipelines and LLM/agent workflows, and mentoring engineering teams. Remote position based in Brazil; requires 7+ years of software development experience with leadership experience and hands-on AI/LLM expertise (RAG, LangChain/LlamaIndex).

Truelogic is hiring a Senior Full-Stack AI Engineer to architect and ship end-to-end features for a context-aware AI agent platform. The role requires strong experience with TypeScript, React, REST/GraphQL, PostgreSQL, asynchronous background processing, and practical familiarity with LLM/agent runtimes, retrieval architectures, and tool integration. The position is 100% remote and affiliated with a stealth-stage AI technology studio client.

Role involves architecting and shipping full-stack product features for an AI agent ecosystem: designing REST/GraphQL APIs, performant PostgreSQL models, resilient async/background processing, React frontends, and implementing/optimizing LLM agent workflows (prompt engineering, retrieval, tool integration). Emphasis on production reliability, observability, and data privacy.

Cloudera is hiring a senior/principal Forward Deployed AI Engineer (FDE) to prototype and ship production-grade AI/ML applications, advise on enterprise AI architecture, implement LLMOps/MLOps practices (evaluation, observability, serving, monitoring), and work directly with customers. Requires 7+ years of experience with 2–4 years building ML or GenAI systems; occasional travel up to ~20%.

DuckDuckGo is hiring a Staff Data Scientist to join the Data Science Functional Team. The role focuses on improving search ranking and relevancy through projects such as lexical matching, document-authority signals, search evaluations, and using LLMs for feature generation and ranking. The position requires 10+ years in Data Science (including 2+ years at Staff/Principal/Director level), production ML deployment experience, strong Python and advanced SQL skills, and experience with search infrastructures (e.g., Vespa, Elasticsearch/OpenSearch, Solr). The role is remote across many listed countries, expects ~40 hours/week on average, and requires travel ~2 times/year for company meetups. Compensation listed as $222,033 USD annually plus stock options.

Client-facing role responsible for translating creative and business requirements into scoped, testable GenAI workflows and automation pipelines; building and configuring prompts, agents, node-based workflows and quality-control mechanisms; and partnering with creative, brand, studio, and technology stakeholders to drive adoption and measure performance.

Design and scale agentic systems connecting LLMs to internal APIs and tooling, implement RAG, fine-tuning, and prompt engineering, build production Python microservices, and develop evaluation pipelines for non-deterministic AI agents. Requires 3+ years building and scaling ML/AI systems in production and experience with multi-agent orchestration frameworks and vector databases.

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

Join Coinbase's CX Intelligence team to design and deploy a unified orchestration layer for vendor and internal LLMs, build production-grade Python ML services, lead complex ML projects, and establish best practices. Requires 5+ years of ML/software engineering experience, proficiency with LLMs/generative AI, Python, and specialization in at least one domain (NLP, information retrieval, computer vision, or statistical modeling). Salary (base) listed in BRL.

Senior engineer responsible for owning GPU/accelerator clusters and related stack (drivers, runtimes, device plugins, node config, schedulers, serving frameworks) to enable in-house model training and inference. Requires 5+ years in infrastructure engineering with hands-on experience operating GPU or accelerator-backed production environments, strong systems fundamentals (Linux, networking, storage, containers, Kubernetes), Python proficiency, and experience with ML serving frameworks and observability.

AE Studio is hiring an Applied AI Data Scientist to build data-driven solutions across client projects and internal research, including LLM lifecycle work (prompting, RAG, vector DBs, fine-tuning) and ML across tabular, time-series, NLP, and vision. Requires strong Python skills, deep learning experience (PyTorch/TensorFlow/JAX), statistical and causal ML fundamentals, and effective English communication; remote-first with the option to work from a Florianopolis office in Brazil.

Role involves designing and shipping end-to-end AI-powered applications (frontend, backend, cloud), building APIs and AI pipelines (ingestion, preprocessing, embeddings, retrieval, orchestration), engineering prompt strategies and guardrails, integrating LLM APIs and vector DBs, and maintaining CI/CD, testing, monitoring, and security. Salary range listed: $115k–$185k/year (conditional note in posting).