Browse and apply for latest Remote Jobs and work remotely as a AI Developer, Artifical Intelligence Engineer with skills such as ai, machine learning, artifical intelligence for Lead, Senior and Junior roles full-time, part-time, contract or freelance. Work from home or any place around the world.
Trusted by 200,000+ remote workers worldwide.
Coaches will leverage AI in finance roles to guide students and professionals in applying AI for financial analysis, forecasting, modeling, research, and decision-making across various financial roles. They are responsible for translating hands-on experience into clear, practical guidance for mentees.
The engineer will partner with Sales and Solution Leaders to shape technical strategy, lead technical discovery, and develop tailored demos showcasing how GenAI and ML drive business outcomes. They will translate solutions into technically sound proposals and Statements of Work, ensuring a smooth transition to post-sales delivery.
The role involves researching, designing, and developing Artificial Intelligence and Machine Learning models to solve business challenges and simulate human intelligence capabilities. Responsibilities also include identifying AI opportunities, preparing data, training/optimizing models, integrating solutions into workflows, and monitoring deployed models.
The specialist will design and implement state-of-the-art Deep Learning models, particularly Transformers, while leading the standardization of reproducible ML environments using MLflow and DVC. They will also be responsible for building, profiling, and securing high-performance APIs to serve these models in production environments within fast-paced 1-week sprints.
The role involves designing, developing, and maintaining scalable backend services using Java and Python, focusing on building microservices and APIs for cloud infrastructure platforms. Responsibilities also include developing automation tools for infrastructure provisioning, monitoring, and operational workflows.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
The AI Engineer will co-architect AI within a federated ecosystem, owning the development and deployment of machine learning models, including LLMs and predictive analytics, optimized for this architecture. Responsibilities include designing agentic systems using frameworks like LangGraph, building Advanced RAG pipelines, creating secure tool interfaces for agents, and developing robust evaluation frameworks.
The role involves practicing a form of marketing closer to product development, focusing on small bets, fast feedback, and compounding returns through real experiments. Success is measured by driving new customer acquisition through fixed channels, improving CAC, and validating successful experiments.
The role involves building customer-facing features from scratch using strong frontend skills while integrating and scaling the underlying AI infrastructure. This includes owning features end-to-end, crafting reliable software, and applying applied AI knowledge beyond the API layer to ensure system reliability.
The role involves leading the design of intelligent, AI-native systems, inventing new interaction patterns for AI, and simplifying complex tasks into intuitive flows for small business owners. The designer will also collaborate cross-functionally to define and set the standard for excellent AI UX.
Builders are sought to take customer problems from initial idea through to production deployment across the entire technology stack. The role focuses on leveraging AI to write code, shifting the bottleneck to strategic thinking, and shipping meaningful, end-to-end solutions.
The role involves designing, implementing, and deploying multi-step AI agents and orchestration workflows using Python and various AI tools like LangGraph and AWS Bedrock. Responsibilities also include integrating top models, connecting agents to real systems, and taking prototypes through full production deployment cycles.
![Smart Working Solutions is hiring for remote Senior Full Stack Engineer - React & Python & AI (Remote, Full-Time), PK [AS216]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
The Senior Full Stack Engineer will design and deliver AI-powered solutions by combining intuitive user interfaces with scalable backend systems and advanced data workflows, working closely with the Head of AI to prototype new applications leveraging LLMs. Responsibilities include building modern web applications using React and Python, developing ETL pipelines, integrating third-party APIs, and deploying containerized applications using Docker.
The Senior Full Stack Engineer will design and deliver AI-powered solutions by combining intuitive user interfaces built with React and scalable backend systems using Python. Responsibilities include prototyping new applications leveraging LLMs, developing ETL pipelines, integrating third-party APIs, and deploying containerized applications using Docker.
This Fellow AI Engineer will define and drive the enterprise-wide Agentic AI strategy, establishing the architectural framework for intelligent agents across the entire product suite. Responsibilities include partnering with customers and sales to shape value propositions, providing hands-on architectural leadership for multi-agent systems, and championing responsible AI governance frameworks.
The manager will proactively engage with existing and new clients, identifying prospects and growing the client base through structured business reviews to understand client needs. Key duties also involve managing the account base efficiently, maintaining a solid sales pipeline, and accurately recording sales data in the CRM.
The role involves designing, developing, and enabling Cornelis Networks’ AI communication middleware, focusing on optimizing collective communication libraries like NCCL/RCCL over the company's interconnects for distributed AI workloads. Key tasks include implementing performance-critical features, optimizing multi-node, multi-GPU training performance, and profiling the software and hardware stack.
Coaches will assist students and early-career candidates aiming to enter AI careers by providing guidance on resume reviews, interview preparation, and navigating AI career paths. They are expected to leverage their practical insight from working in AI roles at established companies.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
Coaches will mentor students and professionals on applying AI in real product development, covering areas like AI product strategy, prototyping, design, and building LLM-optimized codebases. This role involves actively using AI in one's own work to guide others toward achieving ambitious career and educational goals.
The role involves spending roughly half the time in the field assisting new customers with POCs and technical onboarding, and the other half building prototypes, exploring emerging AI techniques, and translating field insights into product direction. Responsibilities include building demos across the portfolio, supporting customer validation, and feeding grounded feedback into the product roadmap.
The role involves conducting applied research in AI/ML to solve real-world problems in home design using various data types, and designing, implementing, and validating prototypes and MVP solutions for production features. This includes training and iterating on models, contributing to AI-driven features like computer vision systems, and collaborating with engineers to deploy research into production.
The role involves taking loosely defined business requirements and independently building working applications end-to-end, primarily by directing AI coding tools like Claude Code for development, testing, and deployment. Responsibilities include scoping features, making architectural decisions regarding databases and frameworks, and ensuring the delivered software solves real business problems.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Tsugaru language nuances. They will also suggest improvements to prompt engineering and evaluation metrics to harden model reasoning.
The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Alentejano dialect nuances. They will also suggest improvements to prompt engineering and evaluation metrics based on their findings.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces to harden model reasoning. Daily tasks involve documenting failures related to Carioca grammar, syntax, and stylistic variation.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Nortenho dialect nuances. They will also suggest improvements to prompt engineering and evaluation metrics to harden model reasoning.
The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. Daily tasks also involve suggesting improvements to prompt engineering and evaluation metrics based on documented model failures.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
Specialists will converse with advanced language models on various language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces to harden model reasoning. Daily tasks include suggesting improvements to prompt engineering and evaluation metrics based on model failures.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Wu language nuances. They will also suggest improvements to prompt engineering and evaluation metrics to enhance model reasoning.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Xiang language nuances. Daily tasks include suggesting improvements to prompt engineering and evaluation metrics based on model failures.
The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces to harden model reasoning. Daily tasks involve documenting model failures related to Bhojpuri grammar, syntax, and semantics.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Learn more about Software Development remote jobs
