AgileEngine is an Inc.
5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
ABOUT THE ROLE
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, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
#J-18808-Ljbffr