Remote Dev Jobs
47 jobs available
ToptalRemote9h ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for a Senior Data/ML Engineer to refactor, operationalize, and improve an existing time series forecasting platform that's already live and driving real business value. This is not a greenfield build — the focus is modernizing a Databricks-based forecasting system that's been maintained primarily by a single developer for years. You'll reduce technical debt, strengthen testing and observability, and raise the engineering bar on a system the business already depends on. If you'd rather bring discipline and maturity to an existing production system than start from a blank slate, this is built for that. What You'll Do Review the current forecasting platform architecture and identify areas for improvement Refactor existing Databricks, Python, and PySpark implementations Move business logic out of Databricks notebooks and into reusable Python modules or packages Improve separation of concerns between orchestration and core business logic Establish stronger engineering standards and help define what "good" looks like for the platform Implement or improve automated testing practices and validation mechanisms for forecasting workflows Build or improve monitoring and observability, increasing visibility into how predictions are generated Help monitor model behavior and operational health over time Improve reliability of scheduled training workflows, reducing manual intervention on failure Improve failure handling, retries, and overall workflow resilience Maintain and extend existing forecasting capabilities as needed What You Bring Strong professional experience with Databricks, including workspaces, notebooks, scheduled workflows, and CI/CD processes Strong Python engineering experience, including designing reusable modules or packages Strong PySpark experience with production data pipelines or distributed data processing Experience refactoring production code and improving maintainability Famili
ToptalRemote1d ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems on AWS Bedrock AgentCore — real conversational AI, RAG pipelines, and agent architectures that go well beyond proof-of-concept and serve live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems on Bedrock's agentic stack. If you've built and shipped on AgentCore specifically — not just Bedrock in general — and want your work to run in production rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents using AWS Bedrock AgentCore Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications primarily on AWS Bedrock and AgentCore, with Azure OpenAI or equivalent platforms as secondary context Develop and orchestrate agent architectures within AgentCore, using frameworks such as LangChain, LangGraph, or LlamaIndex where applicable Build and maintain MCP (Model Context Protocol) server integrations to extend AgentCore agent capabilities Design and build the production service layer around AgentCore (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments for AgentCore-based services Implement observability for AgentCore agents: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evalua
ConnectedX, Inc. · 🇺🇸 United StatesRemote1d ago
Job Title: Machine Learning Engineer (SRE Focus) Location: Remote Duration: Long Term (W2 Contract) Job Summary: Experienced Machine Learning Engineer with a strong Site Reliability Engineering (SRE) mindset to join our team. The candidate will have hands-on experience maintaining applications on both Windows and Linux environments, managing on-premises servers, and working with Kubernetes clusters. This role requires solid Python programming skills, a good understanding of machine learning con…
ToptalRemote4d ago
Headquarters: Remote URL: https://www.toptal.com/ Summary: We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability. General Information: This is a senior engineering role for someone who can own product development from architecture through deployment. The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows. The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users. This person should bring strong product thinking, architectural judgment, and the ability to move independently from requirements to shipped solutions. Tasks and deliverables: Build end-to-end applications that incorporate generative AI capabilities into real user workflows Develop scalable backend services, APIs, and integrations using modern engineering practices Build responsive and maintainable frontend experiences using modern frameworks Design modular system architectures that support scalability, reliability, and long-term maintainability Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring Optimize prompt flows, data pipelines, and system interactions for consistency and performance Translate business requirements into technical solutions and make strong implementation trade-offs Own features from ideation through development, testing, deployment, and iteration Reuse and adapt proven solutions where appropriate to accelerate delivery Continuously improve product quality based on performance data, feedback, and operational le
SezzleRemote4d ago
Headquarters: Türkiye, Remote The salary range for this role is $3,333 - $6,000 per month (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership. As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows. You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workf
GitLabRemote4d ago
Headquarters: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll t
SezzleRemote5d ago
Headquarters: Brazil, Remote The salary range for this role is $3,333 - $6,000 per month (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership. As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows. You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workfl
SynergisticIT · 🇺🇸 United StatesRemote5d ago
Your Degree Was Only the Beginning — Now It’s Time to Get Hired - Get Hired with a Process which Works ! A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. SynergisticIT helps you bridge that gap. You’ll build industry‑level projects, sharpen your interview skills, and gain hands‑on experience in the technologies companies are hiring for right now. The program also markets your profile directly to Fortune 500 clien…
Next Step Systems · 🇺🇸 United StatesRemote5d ago
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale. This is a hands-on, high-impact role focused on depth. This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) syst…
Next Step Systems · 🇺🇸 United StatesRemote5d ago
Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As the Staff Machine Learning Engineer, you own the execution layer of intelligence. You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints. This position is 100% Remo…
Next Step Systems · 🇺🇸 United StatesRemote6d ago
Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. The Principal Machine Learning Engineer will operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems. While Technical Leads may own execution at the team level, you set the tec…
CoinbaseRemote6d ago
Headquarters: Remote - Brazil Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. What you'll do: Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentral
McGregor Boyall · 🇬🇧 London, United KingdomRemote1w ago
Senior Machine Learning Engineer AI Startup Location: Fully Remote (Europe) Salary: 80,000 - 180,000 + Equity The Role I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows. The product is still pre-launch, making this a genuine 0?1 opportunity to join a small, high-calibre engineering team and build the machine learning systems that w...
McGregor Boyall · 🇬🇧 London, United KingdomRemote1w ago
Applied AI Engineer AI Startup Location: Fully Remote (Europe) Salary: 80,000 - 180,000 + Equity The Role I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows. The product is still pre-launch, making this a genuine 0?1 opportunity to join a small, high-calibre engineering team and help shape both the product and technical direction fr...
Lennar Homes · 🌍 WorldwideRemote1w ago
Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and cons…
Lennar · 🇺🇸 United StatesRemote1w ago
Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and cons…
Halvik · 🇺🇸 United StatesRemote2w ago
Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500 professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special! Role and Responsibilities Model Development Collaborate with data scientists and SMEs to develop ML models u…
Proxify ABRemote2w ago
Headquarters: Sweden URL: http://career.proxify.io The Role: We are looking for a Senior Python AI Engineer to join our fast-growing Network, who will design and develop backend systems and APIs for AI-powered applications. You will play a key role in designing and building scalable backend systems and APIs, collaborating closely with cross-functional teams to shape the future of data-driven products across various platforms. What we are looking for: Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django). Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs. Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar. Experience with prototyping tools: Streamlit, Gradio Solid experience designing RESTful APIs and microservice architectures. Strong backend development expertise, including databases (SQL/NoSQL). Experience with version control (Git) and CI/CD workflows. Hands-on experience with containerization (Docker, ideally Kubernetes). Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Understanding of security best practices for handling sensitive data. Strong problem-solving skills to address complex challenges and performance bottlenecks. Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders. Ability to work independently while aligning with broader team goals. Intermediate-advanced English level. Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. AI/ML & LLM Ecosystem: LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex. Retrieval-Augmented Generation (RAG) pipeline design. Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS). Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral. Familiarity with AWS Bedrock for accessing and d
SynergisticIT · 🇺🇸 United StatesRemote2w ago
Turn a Tech Layoff or a Career Gap Into a Reset for a Better Career or Laid Off in Tech? Rebuild Momentum With a Placement Process or Returning to Tech After a Break? Worried About a Gap? A layoff or a Career Gap can shake your confidence—even if you did nothing wrong. Downsizing, reorganizations, and budget cuts are business decisions, not personal failures. The tech industry still needs skilled developers — you just need the right platform to re-enter. A career gap doesn’t disqualify you — ou…
SynergisticIT · 🇺🇸 United StatesRemote2w ago
1000's of Job Applications and No Interviews or Job offers? Get Hired with a Process The Job Market is overcrowded and recruiters are using AI assessments to filter Candidates with no results which leads to career Gaps If you've been unemployed for over 3-6 months, you're not alone—and you're not out of options. The tech industry is competitive, and having a career gap can make it harder to get callbacks. But at SynergisticIT, we specialize in helping candidates like you regain momentum, rebuil…