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

Information Technology

251-1K (1000)

Founded 2013

$415M raised

35 open positions

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Staff AI Engineer

4 weeks, 1 day ago

Bulgaria

Full-time

Lead

AI Engineer

Software Development

Argo CD CI/CD Elasticsearch FastAPI GitHub Actions Kubernetes Microservices PostgreSQL Python

Apply Now

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 35

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 systems using vector databases and search platforms.
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 product, platform, and cross-functional teams on architecture, protocols, and API standards.
Develop monitoring, validation, and observability for production AI solutions.
Own the full software development lifecycle from design through deployment, monitoring, and continuous 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 using 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 tools.
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.
Experience with Python, FastAPI, LLM APIs (OpenAI, Anthropic, Qwen, OSS), LiteLLM, Qdrant, PostgreSQL, ElasticSearch, Langfuse, Kubernetes, GitHub Actions, and ArgoCD.
Experience working with multiple LLM providers, including open-source models, is preferred.
Background in developer platforms, AI infrastructure services, enterprise-scale SaaS, or distributed backend systems is preferred.
Familiarity with vector databases, semantic retrieval, knowledge graph architectures, Langfuse, LiteLLM, or LangChain is preferred.
Contributions to open-source projects in Python, AI, or infrastructure engineering are preferred.
Excellent communication skills and 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.
Vibrant and dynamic work environment.
Benefits that support balancing productivity with self-care.
Remote-friendly workplace recognized by Quartz as the #1 best company for remote workers.

Interested in this position?

Apply directly on the company website

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