Ongoing contract role to assess quality of interactions with AI coding agents (focus on usefulness, reasoning, and engineering judgement). Remote worldwide, 10–20 hours/week. Requires senior/staff/principal-level experience, strong TypeScript/JavaScript or Python skills, hands-on experience with Codex/Claude Code/Cursor, and strong written/spoken English (B2+). Compensation $100–$200/hr; engagements last weeks to months.

Contract, remote (worldwide). 10–20 hrs/week at $100–$200/hour. Senior-/Staff-/Principal-level engineers evaluate AI-generated coding interactions (Codex, Claude Code, Cursor), judge usefulness and engineering judgment, provide written feedback and short video explanations. Strong background in TypeScript/JavaScript or Python and strong written spoken English (B2+) required. Ongoing projects; start after take-home evaluation.

Ongoing contract (10–20 hrs/week) to evaluate interactions with coding agents (e.g., OpenAI Codex, Claude Code, Cursor). Senior/Staff/Principal-level engineers with strong TypeScript/JavaScript or Python experience will judge correctness, reasoning, explanations, and overall engineering taste, and provide written feedback and short recorded walkthroughs. Rate $100–$200/hour.

Join Kraken's Agent Systems team to design, prototype, and productionize AI-powered agent systems that integrate with internal APIs and data sources to automate workflows. Requires 5+ years building production software with strong backend fundamentals (APIs, distributed systems, data modeling, reliability), hands-on experience with AI/ML or LLMs and inference pipelines, and comfort working fullstack in ambiguous 0→1 environments. Responsibilities include architecting inference pipelines, ensuring safe/observable agent execution, and collaborating across product, infrastructure, and operations.

Join Kraken's Agent Systems team to design, prototype, and productionize AI-powered agent systems and inference pipelines that automate internal workflows. Role emphasizes backend engineering (APIs, distributed systems, data modeling, reliability), experience with AI/ML or LLMs in production, rapid prototyping with a path to production, and cross-functional collaboration to deploy observable, safe, and controllable agent-driven capabilities. Requires 5+ years building and shipping production software.

Capital One seeks a Senior Staff AI Engineer on the Intelligent Foundations and Experiences team to design, build, and operate foundation-model training and LLM inference systems, agentic/multi-agent workflows, similarity search/VectorDBs, model evaluation, governance and observability. Role requires deep experience with Python/Go/Scala/CUDA/Java/C++, cloud platforms (AWS/GCP/Azure), PyTorch, Hugging Face, and production AI performance and safety practices. Minimum experience: 8+ years (per qualifications). Salary ranges published (example: Remote $286,200–$326,700; up to $392,000 for some locations).

Senior Full Stack Developer responsible for delivering and supporting production systems, developing APIs, frameworks and CI/CD pipelines, performing data analysis and reconciliations, and integrating LLMs/AI-assisted workflows into internal tools. Required: strong experience with C#, SQL, JavaScript, Angular or React, familiarity with AI tools (Claude Code, Cursor, GitHub Copilot) and advanced English. Location: Mexico City; hybrid mode.

Capital One is hiring a Director, AI Engineer to lead a cross-functional team building and scaling foundation-model training and inference, similarity search/VectorDBs, guardrails, observability, and enterprise Responsible AI standards. The role requires deep technical expertise in AI systems and distributed/cloud architectures, leadership experience, and 6+–8+ years of AI/ML engineering experience (per posting). Salary ranges in the posting span USD 244,700–335,100 depending on location.

Capital One is hiring a Sr. Staff AI Engineer (remote-eligible) to lead design and delivery of foundation model training and inference, agents and multi-agent workflows, similarity search/VectorDBs, guardrails, observability, and AI governance. Role requires extensive experience (8–10+ years) in AI/ML engineering, model optimization, cloud deployment (e.g., AWS/GCP/Azure), and technical leadership.

Chess.com offers a full-time, 100% remote engineering internship with focus areas in Product Engineering or AI/ML Engineering. Interns will build features, optimize systems at scale, or work on data pipelines and ML model development/deployment. Role is open to degree-seeking students or equivalent and applicants able to work in the USA or Canada.

Customer.io is hiring a Staff Software Engineer (Product/AI) to lead and deliver complex, cross-team initiatives. The role emphasizes strong backend engineering (Go), full-stack capability (React), system design and architecture, use of AI across the development lifecycle, observability/metrics-driven decisions, mentorship, and participation in on-call rotation. Compensation shown: $200,000–$280,000 USD base plus a 10% annual bonus target.

Senior AI Engineer based in Peru (remote). Requires 5+ years experience in software/data/ML engineering to design and deliver production AI solutions (LLMs, generative AI, RAG, AI agents) using frameworks such as LangChain, LangGraph, LlamaIndex or Semantic Kernel, and platforms like Snowflake/Databricks/Redshift/Synapse. Responsibilities include architecture, deployment, monitoring, observability, troubleshooting, and AI evaluation/feedback strategies.

Hire for a Senior AI Agent Engineer to design, prototype, and productionize AI agents using Azure AI Foundry, Copilot Studio, Python, and related orchestration frameworks. Responsibilities include prompt and tool definition, RAG and citation implementation, guardrails, monitoring/observability, evaluation pipelines, integration with enterprise APIs, and continuous improvement. Bachelor's degree in CS or related field and software development experience required.

Responsible for developing AI/LLM components and production services, building and maintaining Python-based APIs and pipelines, working with data/SQL for transformations and quality, implementing RAG pipelines and prompt workflows, troubleshooting data/model/production issues, and collaborating with Product and Platform teams. Requires 2–4 years in Software/Data/ML/AI roles and experience with Git, CI/CD, monitoring, model evaluation, and LLM-specific issues (hallucinations, grounding, prompt brittleness).

Lead design and delivery of AI-powered products and foundational AI platform initiatives including foundation model training, LLM inference, similarity search, guardrails, and observability. Role requires significant hands-on experience (Bachelor's +10 years or Master's +8 years) with languages such as Python, Go, Scala, CUDA, or Java and experience architecting scalable AI systems on cloud platforms; visa sponsorship may be considered.

Capital One is hiring a Staff AI Engineer (remote-eligible, US) to partner with cross-functional teams to design, develop, deploy, and optimize foundation models and production AI systems (LLM inference, agents, VectorDBs, model routing/orchestration, observability, and governance). Requires advanced experience in AI/ML system design, cloud deployment (AWS/GCP/Azure), and programming (Python, Go, Scala, Java, C++, CUDA). Minimum experience: Bachelor's + 8 years or Master's + 6 years (posting supports a 6-year minimum). Salary ranges are listed by location in the posting; posting indicates Capital One may sponsor employment authorization.

Lead architecture and development of scalable, cloud-native SaaS platforms and AI agents using technologies such as LangChain, LangGraph, AutoGen, Python, Node.js, React, Azure/AWS, Kubernetes, Docker, Terraform and Ansible. Responsibilities include designing Generative AI and autonomous agents (Graph-RAG, semantic search), implementing data and microservices architectures, producing technical documentation, and guiding engineering teams. Advanced English and 8+ years of experience required.

Nagarro seeks an Associate/Staff Engineer to build, configure and deploy conversational AI/chatbot solutions using Kore.ai (XO10, XO11, Artemis). Requires 4+ years total experience, 3+ years on Kore.ai, strong hands-on experience with JavaScript, Node.js, Python, REST APIs and JSON, and experience with LLMs, prompt engineering, RAG and vector databases. Responsibilities include building integrations, multi-agent orchestration, AI observability, troubleshooting production issues, and ensuring security and governance. Banking/financial services domain and Kore.ai/Artemis certification are preferred.

Join Elastic's Context Engine team to lead end-to-end improvement of agentic behavior in production: implement and ship TypeScript/Python production code, design telemetry and evaluations, iterate on prompts/skills/tools safely, and partner with data scientists, backend engineers and product. The role requires 10+ years of software engineering experience with recent experience shipping and operating AI-driven products and services.

Lead engineering role owning end-to-end improvement of Elastic's Context Engine (knowledge layer for AI agents). Responsibilities include designing telemetry and evaluations, iterating on prompts/skills/automations safely, partnering with data scientists, and shipping production code (TypeScript/Python). Requires 10+ years of software engineering experience shipping AI-driven products, experience with agents with state/memory, telemetry-driven decisions, and familiarity with MCP and public APIs.