Senior Software Engineer (MLAI Services)

TL;DR

Senior Software Engineer (MLAI Services): Building the core of hirify.global's AI platform, designing and developing production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services with an accent on transforming advanced AI concepts into reliable, scalable, and secure solutions. Focus on implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases, and designing AI services that process and reason over high-volume real-world data at scale.

Location: Barcelona, Spain; Madrid, Spain

Company

hirify.global helps businesses globally streamline operations by connecting data, processes, applications, and experiences through its AI-powered enterprise orchestration platform.

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.
• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

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.
• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

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

• 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.