Senior AI – Platform Engineer

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AMS Accelerate IT

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🤝 B2B

Recruitment • B2B

AMS Accelerate IT is an IT and general recruitment agency (also referred to as AMS / AMS Human Resources) headquartered in Romania with offices in Bucharest and Cluj-Napoca. With over ten years of experience, the firm focuses on tech recruitment across Romania and other European markets (Poland, Hungary, Germany, Austria), claiming a database of 100,000+ developers and white-collar specialists. AMS offers end-to-end hiring services for companies (startups to corporations) and candidates, specializing in sourcing mid-to-senior software and IT talent (Full Stack, . NET, C#, iOS, Java, etc. ), working on a success-fee model with warranty/probation support and emphasis on speed, employer branding, and candidate experience.

📋 Description

• Responsible for designing, implementing, and maintaining scalable backend services primarily in Python • Building and managing data pipelines for AI/ML applications • Operationalizing and deploying Generative AI systems for production use • Developing APIs to serve AI features to downstream applications • Orchestrating agentic workflows using frameworks like LangChain, LangGraph, or custom solutions • Ensuring monitoring, logging, and observability of GenAI services • Collaborating cross-functionally to ensure system performance, scalability, and reliability

🎯 Requirements

• 5+ years of practical experience as a Python backend developer • Strong knowledge of software engineering principles, clean code practices, and testing methodologies • Practical experience with Python backend frameworks: FastAPI (preferred), Flask or Django • Practical experience with SQL databases and related Python libraries • Hands-on experience with cloud platforms: Azure (preferred), AWS or GCP • Experience designing and implementing scalable backend services (APIs, data pipelines, SDKs, etc.) • Practical experience with building and deploying AI-based applications, including LLMs and embedding models (e.g., OpenAI, Anthropic, Hugging Face) • Familiarity with Retrieval-Augmented Generation (RAG) based systems, agentic workflows and Generative AI applications • Familiarity with containerized development with Docker • Experience with data science Python libraries such as pandas, NumPy, Scikit-learn • Experience with Python GenAI frameworks (e.g., LangChain, LangGraph) is a plus • Familiarity with CI/CD workflows in GitLab is a plus • Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana) is a plus • Familiarity with gRPC for high-performance service communication is a plus • Familiarity with Model Context Protocol (MCP) is a plus • Familiarity with AI observability and tracing tools (e.g., Langfuse) is a plus.