7 Windsurf Jobs

Strong experience with Java and the Spring Boot framework, including building RESTful APIs, managing dependencies, and utilizing features like auto-configuration and Spring Data JPA. Proficiency in React (or similar modern JavaScript frameworks like Angular) for building responsive and interactive frontend interfaces. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and experience with deploying and managing applications in the cloud. Experience with specific AI services or APIs (e.g., OpenAI API, LLM Retrieval-Augmented Generation (RAG)). Familiarity with data streaming technologies (e.g., Kafka, RabbitMQ). Knowledge of AI-assisted development tools (e.g., windsurf, copilot).

As a Technical Product Manager in our team, you will play a crucial role in driving product development using modern AI development tools to accelerate delivery timelines. Your responsibilities will include creating comprehensive technical documentation that effectively bridges product requirements and technical implementation. Collaborating with SDK teams to ensure seamless integration experiences for gaming developers will be a key aspect of your role. Additionally, you will contribute to technical product requirements, feature specifications, and acceptance criteria, supporting cross-functional initiatives such as platform integrations, SDK development, and developer tooling. To excel in this role, you should have 2-3 years of experience in a technical product management or developer role. Demonstrable experience in using AI development tools like GitHub Copilot, Cursor, Windsurf, Tempo, Lovable.dev, and Bolt to accelerate product development is essential. You should also possess the ability to read and understand code, especially in languages like TypeScript/JavaScript, Go, or similar, along with experience in technical documentation and translating complex concepts for different audiences. A Bachelor's degree in Computer Science, Engineering, or a related technical field is required. Your excellent product intuition and the ability to balance technical constraints with user needs, coupled with strong analytical skills to make data-driven decisions, will be invaluable. Outstanding written and verbal communication skills, as well as experience in creating high-quality product documentation, are essential. Familiarity with gaming platforms such as Unity, Flutter, React Native, and their ecosystem is a plus. What will set you apart is proficiency with AI coding assistants like GitHub Copilot and Cursor, experience with AI-assisted no-code/low-code tools like Windsurf and Tempo, familiarity with WebSocket/real-time communication protocols, and a portfolio of technical documentation or product specifications you've created. As a proactive problem-solver, you will be able to identify issues before they become critical. Your highly collaborative nature with strong interpersonal skills, excellent time management, and ability to prioritize effectively will be crucial. You should be comfortable working in a fast-paced environment with shifting priorities, showcasing a passion for creating exceptional technical products that solve real user problems. Being intellectually curious with a desire to understand complex systems will be an asset. In return, you will have the opportunity to work with a talented team of engineers, product managers, and designers, with a clear career growth path toward senior product management roles. We offer a competitive compensation and benefits package, providing an environment where you can thrive and contribute effectively. Join our team and be part of a company that values innovation, collaboration, and excellence. Apply now and take the next step in your career journey.,

As an AI Automation Specialist, you will play a crucial role in driving productivity optimization through the implementation of AI-powered solutions. Your responsibilities will include identifying opportunities to automate repetitive processes, enhance efficiency, and streamline workflows across various teams. You will be tasked with developing and executing automation strategies utilizing RPA, AI, and low-code/no-code tools to eliminate operational bottlenecks and enhance business operations. Collaborating closely with business leaders, product managers, and technology teams will be a key aspect of your role to drive AI transformation initiatives and ensure the successful scaling of automation impact. You will also be responsible for conducting change management activities, educating teams on AI-driven automation, and facilitating the seamless adoption of new processes within the organization. In addition, you will be involved in the deployment and management of AI tools such as NLP models, chatbots, document automation, and workflow optimization solutions. Working alongside cross-functional teams, you will assess pain points, design automation solutions, and implement AI-enabled productivity enhancements to drive continuous improvements and support strategic decision-making through data-driven analytics. Required Technical Skills: - Familiarity with low-code/no-code automation platforms like Bubble, Zapier AI, Make, Gumloop, n8n - Basic understanding of backend implementation including API integrations, Python, and JavaScript - Experience with video editing and graphic editing tools such as Heygen and Synthesia - Ability to build standalone apps using platforms like Replit and Lovable - Hands-on experience in NLP tools, chatbot development, and workflow automation - Strong understanding of data analytics and visualization tools like Power BI, Tableau, and Python - Proficiency in AI/ML tools (e.g., TensorFlow, Langgraph, HuggingFace Transformers) - Knowledge of AI tools for data science productivity (e.g., Cursor, Claude Code, H2O.ai, Windsurf, Copilot) Required Soft Skills: - Problem-solving mindset with the ability to identify inefficiencies and design AI-driven automation solutions - Leadership skills to influence senior leaders and drive impactful projects - Excellent communication and collaboration abilities to work effectively with cross-functional teams and stakeholders - Project management experience in implementing AI/automation projects with measurable impact.,

We're looking for experienced GenAI Engineers in the following areas: - Design and implement RAG pipelines (Retrieval-Augmented Generation) - Prompt Engineering - Open-source and proprietary LLMs (like LLaMA, Mistral, Claude, GPT-4o, etc.) - Building AI Agents, MCP, A2A Tech Stack [any other similar to this is also ok]: - LangChain, LangFlow, LangGraph, LangSmith, Dify, AWS bedrock, sageworks, GenAI, - Vector DBs [Postgres, Pinecone, etc] - Agents [A2A] SDK [google, others] and any Agentic AI platform - CrewAI, Cursor, Windsurf, etc

What You'll Do Join Avalara's Agile Enablement Team as a Senior Technical Program Manager (TPM) and lead the future of AI adoption across R&D. You will evaluate, piloting, and scaling the implementation of modern AI technologies across our organization. Your deep technical expertise, hands-on experience with enterprise-level AI integration, will empower you to influence strategic direction and foster cross-functional alignment. As a Senior TPM, you will partner with diverse teamsProduct, Engineering, Architecture, Security, and Operationsto ensure responsible and scalable AI adoption. You'll be at the forefront of innovation, shaping how Avalara uses AI to enhance our products and processes, while minimizing risk and ensuring security. You'll report to the Senior Director of Technical Program Management and be part of a collaborative environment that values your ideas, supports your growth, and promotes inclusion. What Your Responsibilities Will Be Improve end-to-end programs focused on evaluating and integrating new AI tools within Avalara's R&D ecosystem. Collaborate with Engineering, Product, and Architecture leaders to implement AI use cases that improve execution and SDLC outcomes. Translate technical AI concepts into growth narratives for senior and executive partners. Create and lead cross-functional program plans that balance speed of innovation with risk management and compliance. Partner with Agile Coaches, TPMs, and Scrum Leads to embed responsible AI usage into Agile practices (e.g., backlog refinement, documentation, release planning). Ensure portfolio-level visibility, transparency, and reporting for all AI-related programs. Champion a metrics-driven approach to measure and communicate the impact of AI initiatives across teams and products. What You'll Need to be Successful Required Qualifications 8+ years in technical program management or Agile delivery leadership roles, within SaaS or cloud-based environments. Demonstrated experience evaluating and operationalizing AI tools (e.g., Cursor, Lovable, and Windsurf) Experience with Agile frameworks (Scrum, Kanban, SAFe), and modern SDLC practices. Track record managing cross-functional programs at scale with complex stakeholder environment.. Proficiency in Jira, Confluence, and program tracking/reporting tools. Bachelor's degree in Computer Science, Engineering, or equivalent technical field. Preferred Qualifications Experience leading AI or machine learning programs, especially those involving developer tooling or workflow optimization. Familiarity with AI-enabled features in Agile tools (e.g., Atlassian Intelligence, Miro AI). SAFe Certification or other Agile leadership credentials. Prior experience supporting enterprise-wide transformation or improvement plans.

Role Summary: We are seeking a seasoned Full Stack Architect with deep expertise in Java (Spring Boot) , front-end frameworks like Angular or React , and a strong understanding of the Software Development Life Cycle (SDLC) . The ideal candidate will also have hands-on experience with AI-powered development tools such as GitHub Copilot , Cursor , Windsurf , or Amazon Q , enabling faster, smarter, and more efficient software delivery. Key Responsibilities: Architect and lead the development of scalable full-stack applications using Java (Spring Boot) and Angular/React . Define and enforce best practices across the SDLC , including design, development, testing, deployment, and maintenance. Integrate AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf, Amazon Q) to accelerate coding, debugging, and documentation. Collaborate with cross-functional teams to translate business requirements into technical solutions. Ensure high performance, security, and maintainability of applications. Mentor development teams and conduct code reviews to uphold architectural standards. Stay current with emerging technologies and recommend adoption where appropriate. Required Skills & Experience: Proven experience as a Full Stack Architect or Technical/Solution Architect . Strong proficiency in Java , Spring Boot , and front-end frameworks like Angular or React . Deep understanding of SDLC , Agile methodologies, and DevOps practices. Experience with AI development tools : GitHub Copilot, Cursor, Windsurf, Amazon Q. Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines. Excellent problem-solving, communication, and leadership skills.

As our AI Developer, you wont just write codeyoull partner with AI tools to conceptualize, prototype, and build full-stack features in record time. You'll convert user needs and contract workflows into functioning, AI-driven softwareend to end. This role bridges software engineering, product execution, and AI-engineeringthere is no separation between front-end, back-end, and model integration: you do it all. Key Responsibilities Use tools like Windsurf, Cursor, GitHub Copilot, etc., to accelerate development of full-stack features. Design, prototype, test, and deploy CLM modules: clause extraction, contract review UI, workflow automation. Integrate LLMs, vector embeddings, rule engines, and APIs for tasks like clause summarization, risk detection, redlining. Collaborate closely with product, legal/contract experts, and UX to translate business needs into AI-first applications. Optimize for scalability, security, and reliability in production environments. Continuously evaluate and adopt emerging AI tools and best practices, including prompt engineering, new assistive coding workflows, and MLOps pipelines (X-Team). Ensure ethical and privacy-compliant AIbias detection, data protection, and auditability are built-in (Wikipedia)