Job Overview
Location
Sofia, Bulgaria
Job Type
Full-time
Category
Software Engineering
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain production-grade AI-powered services and APIs using LLMs (OpenAI, Anthropic, Qwen, OSS models) 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.
- • Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
- • Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
- • Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
- • 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.
- • Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
- • Contribute to projects including building an evaluation and observability framework for AI model performance and reliability.
- • Develop an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
- • Implement semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
- • Design AI services that process and reason over high-volume real-world data at scale.
- • Utilize technologies including Python, FastAPI, LiteLLM, Qdrant, PostgreSQL, Elasticsearch, Langfuse, Kubernetes, and GitHub Actions.
- • Work within a cloud-native, enterprise-scale platform that unifies data, applications, processes, and AI into a single governed system.
- • Engage in technical discussions and architecture planning with product and platform teams to transform advanced AI concepts into scalable, secure solutions.
- • Maintain and improve DevOps and observability practices including CI/CD pipelines, monitoring, metrics, and model validation.
🎯 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, Elasticsearch, Qdrant, or similar).
- • Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
🏖️ Benefits
- • Flexible, trust-oriented culture that empowers employees to take full ownership of their roles.
- • Balance of productivity with self-care supported through a vibrant and dynamic work environment.
- • Opportunity to work at a company recognized as a Forbes Cloud 100 member and Deloitte Tech Fast 500 winner.
- • Role at a company ranked #1 best for remote workers by Quartz.
- • Exposure to cutting-edge AI infrastructure and enterprise-scale SaaS platforms used by 50% of the Fortune 500.
- • Collaborative environment with mentorship opportunities and technical excellence culture.
Skills & Technologies
About Workato, Inc.
Workato provides low-code/no-code enterprise automation and integration software that connects applications, data, and business processes across cloud and on-premises systems. Its platform offers pre-built connectors, recipes, and AI-powered workflow orchestration for finance, HR, IT, sales, support, and marketing functions. The company enables organizations to automate tasks without extensive coding, reducing manual effort and accelerating digital transformation initiatives. Workato serves mid-market to large enterprises worldwide through a subscription-based SaaS model, emphasizing security, governance, and scalability for complex integrations.
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