Senior 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.

Masters Degree in related field 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 smal