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Staff AI Engineer

1 hour, 15 minutes ago
Greece
Full-time
Lead
AI Engineer
Software Development
Argo CD CI/CD Elasticsearch FastAPI GitHub Actions Kubernetes Microservices PostgreSQL Python
Apply Now
Workato

Workato

Workato is the Enterprise Automation Platform that enables seamless integration and automation of workflows for both business and IT teams, utilizing AI-powered technology for efficient outcomes.

IT Services
251-1K
Founded 2013
$415M raised
View All Jobs 28

Description

  • Design, build, and maintain AI-powered services and APIs using LLMs and custom ML models.
  • Develop an enterprise-grade agentic framework for orchestration, retrieval, and multi-agent collaboration.
  • Implement and optimize knowledge retrieval and agentic search using vector databases and search systems.
  • Write efficient, testable Python code for production services, experimentation, and internal developer tools.
  • Build and maintain shared Python libraries and SDKs used across applications and microservices.
  • Collaborate with cross-functional teams on architecture, internal protocols, and API standards.
  • Develop monitoring, validation, and observability for production AI solutions.
  • Own the software development lifecycle from design and implementation through deployment, monitoring, and improvement.
  • Identify and resolve performance, reliability, and scaling issues in data-intensive environments.
  • Participate in code reviews and technical discussions while mentoring other engineers.

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 experience building and maintaining production-grade systems with Python.
  • Strong understanding of distributed systems, API design, and data-driven architectures.
  • Experience with relational and non-relational databases such as PostgreSQL, Elastic, and Qdrant, or similar.
  • Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
  • Knowledge of DevOps and observability practices, including CI/CD, monitoring, metrics, and model validation.
  • Hands-on experience with Python, FastAPI, LLM APIs, LiteLLM, Qdrant, PostgreSQL, ElasticSearch, Langfuse, Kubernetes, GitHub Actions, and ArgoCD.
  • Experience working with multiple LLM providers, including OpenAI, Anthropic, Qwen, and 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.
  • Contributions to open-source projects in Python, AI, or infrastructure engineering.
  • Excellent communication skills with the ability to explain complex technical ideas to technical and non-technical audiences.
  • Collaborative, proactive, and comfortable working across teams in a dynamic environment.
  • Strong analytical and problem-solving abilities with a focus on continuous improvement and innovation.
  • Curiosity and genuine interest in emerging AI technologies and modern backend architectures.

Benefits

  • Flexible, trust-oriented culture with strong ownership.
  • Balanced approach to productivity and self-care.
  • Vibrant and dynamic work environment.
  • A multitude of employee benefits for work and personal life.
  • Recognized as a remote-friendly company, ranked #1 best company for remote workers by Quartz.

Interested in this position?

Apply directly on the company website

Apply Now

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