• Develop and maintain backend services using modern technologies (e.g., Python, Go, or Node.js); • Build distributed systems using messaging (Kafka, RabbitMQ) and microservices architecture; • Provide technical leadership on critical projects, ensuring solution quality, performance, and resilience; • Actively participate in technical rituals such as code reviews and architecture discussions; • Design and evolve scalable, sustainable architectures, balancing performance, cost, security, and availability trade-offs; • Work on projects with multiple integrations (external APIs, legacy systems, billing, authentication, etc.); • Collaborate with Product teams to make technical decisions and define solutions; • Ensure engineering best practices, including automated testing, observability, and continuous deployment; • Operate in high-availability, mission-critical environments.

Role Overview We are seeking a Senior AI Full Stack Engineer with strong expertise in Generative AI, modern frontend frameworks, and scalable backend systems. This role focuses on building production-grade AI-powered applications across Industrial AI, Healthcare AI, and Manufacturing AI domains. You will design, develop, and deploy full stack solutions integrating large language models and machine learning systems into real-world applications that deliver measurable business impact. Key Responsibilities - Design and develop end-to-end full stack applications integrating Generative AI capabilities - Build responsive and high-performance user interfaces using React.js - Architect and develop scalable microservices and RESTful APIs - Implement Retrieval Augmented Generation (RAG) pipelines, embeddings, and vector search solutions - Develop and optimize Agentic AI workflows involving multi-step reasoning and tool integration - Fine-tune and optimize large language models for domain-specific use cases - Work with structured and unstructured data using Python libraries such as Pandas and NumPy - Develop machine learning models including predictive analytics and computer vision models using OpenCV and CNNs - Implement MLOps practices for model deployment, monitoring, and lifecycle management - Deploy applications on cloud platforms such as Microsoft Azure, AWS, or GCP - Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps - Ensure application scalability, performance, security, and compliance - Participate in agile ceremonies, design discussions, and code reviews - Mentor junior developers and contribute to engineering best practices - Collaborate with data scientists, product managers, and UX teams to deliver AI-driven solutions Required Skills and Qualifications - Strong programming experience in Python, .NET, or Java - Proficiency in React.js including modern hooks and performance optimization - Experience designing and building microservices-based architectures - Hands-on experience with Generative AI technologies including LLMs, RAG, embeddings, and prompt engineering - Experience building production-grade AI applications - Strong understanding of machine learning concepts including NLP, predictive modeling, and computer vision - Experience with data processing libraries such as Pandas and NumPy - Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Cosmos DB - Experience with relational databases such as PostgreSQL or MySQL - Familiarity with object storage systems such as Azure Blob Storage or MinIO - Experience working with cloud platforms such as Azure (preferred), AWS, or GCP - Experience with DevOps tools such as GitHub, Azure DevOps, or Jenkins - Familiarity with code quality and security tools such as SonarQube and Veracode Good to Have - Experience in Industrial AI, Healthcare AI, or Manufacturing AI domains - Understanding of LLM performance tuning, latency optimization, and cost control - Knowledge of rate limiting, API governance, and distributed system design - Familiarity with data compliance standards such as GDPR, HIPAA, SOC2, or ISO - Experience with modern developer tools such as Cursor, Claude Code, or Miro - Strong understanding of design patterns and system architecture principles What We Offer - Opportunity to build production-grade AI systems with real-world impact - Exposure to cutting-edge technologies in Generative AI and machine learning - Collaborative environment with cross-functional teams including AI engineers, data scientists, and product teams - Opportunities for career growth into technical leadership roles - Flexible work environment - Work closely with Top notch product or customization for fortune 100 clients Preferred Candidate Profile - 5- 12 years of overall Experience with building and deploying end-to-end Generative AI applications in most recent 3 years. - Ability to balance trade-offs between performance, scalability, and cost - Strong problem-solving and system design skills - Ability to translate complex AI concepts into user-friendly applications - Out of the box thinker to "get things done" with help of best available AI tools, but not compromising on Engineering best practices.

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark. We work on Mapbox's award-winning high-precision maps (“HD Maps”) product family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost, and performance assessments. What You'll Do - Lead the initiation, design (requirements and specifications), and building of the product roadmap for algorithmic stages within cloud applications. - Code and develop relevant algorithmic stages within cloud applications, utilizing technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability. - Collaborate across multiple R&D teams to seamlessly integrate analytics solutions into our mapping products. - Work closely with engineering teams to align product development with strategic objectives. - Engage in direct communication with trend-setting customers and automotive OEMs in EU, US, Japan, and China, as well as suppliers like automotive Tier 1 companies and Mapping firms. - Collaborate with business development teams to ensure that the product roadmap and design align with customer needs and market trends. What We Believe are Important Traits for This Role - Proficiency in Python or other programming languages commonly used in data analysis and cloud application development. - Experience deploying GIS algorithms within scalable cloud applications, preferably on platforms like AWS and Spark. - Familiarity with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) to effectively communicate insights. - Strong problem-solving skills with meticulous attention to detail. - Excellent communication skills and a proven ability to collaborate effectively across cross-functional teams. Nice to Have Traits for This Role - Prior experience in the mapping, navigation, or automotive industry. - Knowledge of machine learning techniques for geospatial data analysis. - Contributions to open-source geospatial or data analysis projects. What We Value In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this mission through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

• Design and lead development of the native Rust backend, including APIs, microservices, and system architecture. • Integrate and manage real-time messaging infrastructure using WebSockets and event-driven services. • Oversee the Solana-based OleX token, including smart contract development, wallet logic, and payments architecture. • Build the backend framework for AI-powered features, including translation, recommendation engines, and user content analysis. • Ensure security, scalability, and performance across all systems, especially in crypto and gambling environments. • Partner with the CEO and broader team to align technical goals with the company’s global vision.