AI/ML Engineer at cobrick
Indiana, Indiana, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Oct, 25

Salary

24000.0

Posted On

28 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Onboarding, Semantic Search, English, Async, Java, Documentation, Ml, Structured Documentation, Fine Tuning, Communication Skills, Coding Practices, Go

Industry

Information Technology/IT

Description

Hybrid work: one day per week in the office (Gliwice)
3+
C1
B2B up to 24000 PLN - 31600 PLN + VAT
UoP up to 21500 PLN - 27000 PLN gross
ai
ml
python

REQUIREMENTS

  • 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.

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

How To Apply:

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Responsibilities

ABOUT THE ROLE

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.

RESPONSIBILITIES

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.
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