GenAI Lead Engineer
Tractian
Full-time|Remote|Atlanta, GA Join the Engineering Team at TRACTIANAt TRACTIAN, our Engineering team is dedicated to pioneering innovative infrastructure, technologies, and products that leverage the immense potential of IoT data. Our skilled engineers work collaboratively to create resilient systems, forward-thinking solutions, and scalable platforms that are key to TRACTIAN's success. We significantly influence the company’s strategic decisions, enhance operational efficiency, and ensure our customers receive outstanding experiences.Your RoleAs a GenAI Lead Engineer, you will be a vital member of the Software Team, partnering closely with developers, engineers, and product teams to orchestrate project organization, scheduling, and successful deployments. Your leadership skills will facilitate seamless coordination across various departments, ensuring objectives are met and tasks are completed proficiently. This role encompasses managing multiple components and provides the opportunity to engage in various facets of the Software Team's endeavors. You will play a crucial role in refining processes, boosting team efficiency, and directly impacting the overall success of the company.Key ResponsibilitiesProject Leadership: Strategically plan, schedule, and execute software projects on time and to the highest standards.Team Development: Oversee and mentor developers, promoting collaboration and high performance.Strategic Direction: Make critical decisions regarding backend architecture, scalability, and infrastructure.Cross-Functional Collaboration: Align software, product, engineering, and departmental objectives for flawless execution.Process Optimization: Streamline workflows, tackle technical challenges, and enhance productivity.Deployment Oversight: Ensure efficient deployments and maintain optimal system performance.Qualifications8+ years of experience in backend development with a focus on scalable system design, API architecture (DDD), and microservices (gRPC, REST), alongside expertise in databases (Postgres, MongoDB, Redis, Clickhouse) and cloud infrastructure (AWS).Proficient in TypeScript and Golang, with substantial experience in testing methodologies (unit, end-to-end, and load testing using Cypress, Playwright, k6).Skilled in containerization technologies (Docker, Kubernetes) and DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and system monitoring (Datadog, Grafana).Experience in developing and optimizing LLM applications, including Retrieval-Augmented Generation (RAG) and GPT-based solutions, with a strong foundation in deployment patterns, prompt engineering, and API integration (OpenAI, Anthropic, Gemini).Proficient in machine learning frameworks (PyTorch) and optimization techniques (quantization, model distillation).
Mar 1, 2026