AI ML Engineer

Emporix is a next-generation Autonomous Commerce Intelligence platform, built for modern B2B and sophisticated B2C enterprises. We uniquely combine orchestration, automation, and AI to streamline commerce processes across systems. We’re looking for a skilled AI Python Developer / Machine Learning Engineer to join our team. You’ll work on cutting-edge backend systems and AI models, leveraging large and small language models (LLMs/SLMs), retrieval-augmented generation (RAG), and agentic frameworks to power intelligent, production-ready commerce solutions. If you're excited by scalable AI systems, LLM fine-tuning, modern MLOps, and working in a cloud-native environment—this role is for you. What You’ll Be Doing AI & Backend Development Design and build intelligent backend services using Python and FastAPI. Develop agent-based systems using LangChain, LangGraph, and FastMCP. Integrate LLMs, RAG pipelines, and custom tools into microservices architecture. Implement orchestration logic for multi-agent workflows and real-time SSE-based interactions. LLM/SLM Model Engineering Fine-tune and optimize LLMs/SLMs on domain-specific datasets. Develop custom models tailored to business use cases and workflows. Evaluate models for performance, latency, cost-efficiency, and robustness in production. Production-Grade MLOps & Cloud Deployment Deploy and monitor models and services on Google Cloud Platform (GCP) using Kubernetes, Cloud Run, and Pub/Sub. Build reproducible training and inference pipelines with CI/CD and MLOps best practices. Track performance with logging, monitoring, and feedback loops for continuous improvement. System Integration & Collaboration Work closely with frontend, backend, and product teams to deliver scalable, production-ready AI systems. Ensure event-driven, fault-tolerant communication between AI modules and commerce services. Documentation & Knowledge Sharing Maintain clean and well-structured documentation for APIs, ML pipelines, and system logic. Contribute to knowledge bases and architecture diagrams for long-term scalability and onboarding. What We’re Looking For 3+ years of hands-on experience in Python development, ideally in AI, ML, or backend systems. Proven experience with LLM/SLM fine-tuning and deployment (e.g., LoRA, QLoRA). Hands-on experience with agentic AI frameworks like LangChain, LangGraph, or FastMCP. Strong knowledge of transformer models and libraries like Hugging Face, Mistral, LLaMA, or Gemma. Familiarity with vector databases, semantic search, and prompt engineering. Experience designing and deploying RAG pipelines in real-world applications. Skilled in building and maintaining event-driven microservices and async APIs. Cloud-native engineering experience, preferably on GCP (Cloud Run, Pub/Sub, Storage). Familiarity with secure coding practices and data protection in AI systems. Strong communication skills in English (B2/C1 level). Bonus: Experience with Go, Java, or orchestrating cloud functions. Why You’ll Love It Here Cutting-Edge Technology: Work with the latest in AI—LLMs, agentic systems, LangChain, LangGraph, and more. Real Impact: Your work will directly power next-gen commerce for top-tier businesses. Autonomy & Innovation: Explore new ideas, experiment quickly, and ship high-impact features. Collaborative Culture: Join a talented, passionate team that values transparency and knowledge sharing. Flexible Work Setup: Enjoy a remote-friendly, hybrid model that supports work-life balance and team connection.