Senior Python Engineer (AI)

TL;DR

Senior Python Engineer (AI): Building and maintaining AI-powered services and APIs, leveraging LLMs and custom ML models with an accent on intelligent automation, agentic workflows, and large-scale retrieval services. Focus on transforming advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem.

Location: Amsterdam, Netherlands

Company

hirify.global helps businesses globally streamline operations by connecting data, processes, applications, and experiences.

What you will do

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs and custom ML models.
• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience as a Software Engineer, with strong proficiency in Python.
• Proven track record of building and maintaining production-grade systems using Python.
• Strong understanding of distributed systems, API design, and data-driven architectures.
• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

Nice to have

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
• Background in developer platforms or AI infrastructure services.
• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
• Experience developing enterprise-scale SaaS or distributed backend systems.

Culture & Benefits

• Fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles.
• Driven by innovation and looking for team players who want to actively build our company.
• Balancing productivity with self-care.
• Vibrant and dynamic work environment.