Artificial Intelligence Engineer ID42044
Há 4 dias
Artificial Intelligence Engineer ID42044 Join to apply for the Artificial Intelligence Engineer ID42044 role at AgileEngine . Overview: As a Senior AI Engineer, you’ll build AI-powered systems that turn complex data into actionable insights, tackling high-impact challenges with modern cloud and LLM workflows. You’ll shape technical direction, influence team culture, and apply AI-first thinking to real-world problems, driving innovation and measurable business value in a fast-paced, collaborative environment. What you will do Build AI Applications: Design and deploy intelligent systems that parse tariffs, optimize utility spend, and automate workflows. Productionize Agent Workflows: Integrate cutting-edge AI models into robust pipelines that run reliably in real-world environments. Full-Stack Development: Build APIs, backend services, and frontend integrations using Python and TypeScript as needed. Leverage Cloud at Scale: Deploy and maintain systems on GCP (or AWS), ensuring scalability, reliability, and performance. Iterate Rapidly: Prototype, test, and launch features quickly while maintaining production quality. Shape Foundations: Establish engineering standards, architecture principles, and AI-first practices for the company. MUST HAVES Experience level: 4+ years as a software engineer and at least 2+ years at an AI-first company or building AI-powered applications. Proficiency in Python and TypeScript, with experience shipping production code. Hands-on experience deploying AI/LLM workflows into production (LangChain, LlamaIndex, vector DBs, orchestration frameworks, etc.). Familiarity with GCP. Experience building and maintaining APIs, data pipelines, or full-stack applications. Startup DNA: thrives in ambiguity, biased toward action, problem-first mindset, and high ownership. English: Upper-Intermediate English level. NICE TO HAVES Familiarity with deploying production-grade systems. Experience with parsing unstructured data, optimization algorithms, or time-series forecasting. Background in energy, utilities, or IoT data (not required, but valuable context). Prior experience in a founding or early-stage engineering role. PERKS AND BENEFITS Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime: Tailor your schedule for an optimal work-life balance, with options for working from home and going to the office. Referrals increase your chances of interviewing at AgileEngine. #J-18808-Ljbffr
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