Sr. AI Engineer

About Us

We’re a fast-growing product company integrating cutting-edge AI capabilities into our core offering to stay competitive and deliver exceptional value to customers. Our AI work spans task-specific ML models, large language model (LLM) integration, and agentic systems that orchestrate multiple tools to produce end-user results.

We run a Python-based backend (FastAPI + Gunicorn + Nginx) with heavy background job processing using Celery. We’re looking for a senior-level AI Engineer who is equally strong in backend engineering and applied AI — capable of building production-grade systems that are fast, reliable, and maintainable.

What You’ll Do

• • Design, develop, and deploy production-grade AI-powered backend systems.

• • Integrate LLMs and traditional ML models into performant, scalable architectures.

• • Integrate and optimize vector databases for retrieval-augmented generation (RAG) pipelines and other traditional ML queries.

• • Write clean, well-structured, and testable Python code following best practices.

• • Capable of thinking about performance and ensuring optimal decision making to reduce latency.

• • Build hybrid architectures that balance LLM calls with traditional ML.

• • Debug complex, cross-layer issues spanning backend, AI inference, and UI integration.

• • Conduct thorough dev testing before QA handoff to ensure production reliability.

• • Collaborate with product, backend, and frontend engineers to deliver cohesive solutions.

• Must-Have Skills & Experience

• • 3–5+ years professional backend engineering experience in Python, FastAPI or Flask, and background processing.

• • Proven record of deploying Python applications to production (not just scripts or academic work).

• • Strong grasp of software design patterns

• • Strong understanding of backend performance, parallel processing in background jobs and multi-threading

• • Proficiency in performance tuning specially for heavy AI models

• • Applied machine learning experience — training, evaluating, and maintaining small task-specific models.

• • Familiarity with LLM integration, prompt engineering, and context window optimization.

• • Proven ability to debug AI behavior, identify root causes, and make targeted fixes.

• • Strong testing discipline for both backend and AI components.

• • Experience with background processing with Celery or other major libraries

• • Experience with monitoring APIs and background processing

• • Experience with ensuring visibility and error reporting.

• • Nice to have: experience with Docker, understanding of CI/D, deployment automation and Kubernetes

• Who Will Succeed in This Role

• • Independent problem solver — you can debug without constant supervision.

• • Production mindset — you understand that reliability, scalability, and maintainability matter as much as accuracy.

• • System thinker — you see backend, AI, and UI as a connected whole.

Why Join Us

• Direct impact on the company’s competitive edge.

• Small, fast-moving team with high autonomy.

• Work on practical, real-world AI applications — not just research.

• Opportunity to shape our AI architecture and best practices from the ground up.

If you’re a backend-first AI engineer who thrives in shipping production-ready systems and knows how to make AI practical, fast, and reliable — we’d love to talk.