• Design and implement AI inference and model training cloud products optimized for Kubernetes - from autoscaling inference servers to distributed training jobs across GPU fleets • Write clean, efficient, and maintainable Go code to power Kubernetes controllers, operators, and custom resources supporting AI workloads • Build APIs, CLIs, and developer tools that simplify the deployment, lifecycle management, and monitoring of AI applications • Develop features that optimize serverless container workflows for AI, ensuring fast cold starts, resource-efficient scaling, and workload isolation • Contribute to system performance, reliability, and security, with a focus on AI-specific challenges such as GPU scheduling, job orchestration, and data throughput • Stay on top of Kubernetes ecosystem advancements (e.g., K8s-native ML tooling, scheduling improvements, SIGs) and influence our product roadmap accordingly

• Contribute to the development of the Everywhere Inference platform - a Kubernetes-based solution enabling scalable and portable AI inference across a wide range of environments. • Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications. • Focus on packaging and integrating new ML models into the platform, using Python and common ML frameworks. • Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling. • Collaborate with customers to fine-tune ML model performance and support their unique use cases. • Work with cross-functional teams to improve the AI applications marketplace and ensure smooth model onboarding and lifecycle management. • Stay current with trends in Kubernetes, machine learning, and MLOps, and help drive innovation within the platform.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description LINCGEO is seeking an experienced Sr. Backend Developer to play a key role on our team. The ideal candidate has strong, firsthand technical expertise in a variety of configuration management and data technologies and the proven ability to fashion robust scalable solutions. - Enhance our existing application written in C#, node.js, .net, JSON, Entity Framework, CSS/SASS, TypeScript, XML, and Esri ArcGIS Maps SDK for Java Script - Contribute to the development of new product modules from scratch while thinking about scalability and security - Perform code reviews to ensure high code quality in DevOps - Mentor junior programmers providing guidance, sharing best practices, and code efficiency based on code reviews and the goals of the product - Work closely with all staff including designers and management, working with new modules from conception to post-deployment in a fast-paced, collaborative environment - Design client-side and server-side architecture - Develop and manage databases and applications - Proactively manage security and data protection concerns - Build features and applications with a mobile design - Develop and implement automated tests to ensure the quality and ongoing reliability of your features - Proactively contribute ideas for new features, as well as identify areas for improvement - Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment - Effectively document code with version control - Integrate and deploy AI/ML models via REST APIs (e.g., OpenAI, Azure Cognitive Services, or custom ML pipelines) - Develop intelligent backend logic for automation, predictive insights, and data processing workflows - Build and manage data pipelines and ETL processes supporting analytical dashboards and intelligent decision-making - Ensure backend architecture supports AI-based data analysis, semantic search, and adaptive user experiences - Work closely with the AI team to integrate model outputs, inference engines, and NLP pipelines into production systems Qualifications - 7-10 years of industry experience in C#, .net, node.js software development - Demonstratable project and team leadership - Strong knowledge of data structures and algorithms, proficient in C#, JSON, Entity Framework, and XML - Experience designing and developing REST APIs - Proficient in writing SQL queries – Knowledge and previous experience in writing optimized SQL queries is a plus - Experience with task automation - Hands-on experience in Github or similar platforms and pull request process - Previous experience building a web application from scratch - Knowledge of MIT licensed based open-source libraries - Able to articulate complex solutions through technical discussions - Strong understanding of web technologies and distributed systems - Strong knowledge with cloud-native technologies such as DevOps, AWS, DevExpress, Figma - Self-starter with a can-do attitude who has a relentless desire to improve quality and quantity of your output - Experience with AI/ML integration, AI APIs, or data processing frameworks (e.g., TensorFlow, PyTorch, OpenAI API, Azure ML) - Familiarity with cloud AI/ML services (e.g., AWS AI/ML tools, Azure Cognitive Services) Requirements - Compensation: $95,000-$150,000 per year, depending on experience, qualifications, and overall fit for the role Nice to have qualifications - Curiosity towards new technology and outstanding ability to analyze and solve problems - Demonstrated system thinking and expertise in more than one layer of multi-tier architecture - Hands-on experience with AI-driven data processing, predictive analytics, or NLP pipelines - Exposure to vector databases or semantic search systems (e.g., Pinecone, Azure Cognitive Search) - Passion for continuous learning and experimentation with AI technologies and emerging frameworks

• Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask. • Implement and optimize Retrieval Augmented Generation (RAG) systems; • Profile and optimize Python code to enhance performance; • Collaborate with cross-functional teams, including ML engineers and product managers, to deliver high-quality products; • Write clean, maintainable, and well-documented code; • Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.