Generative AI Operations Engineer (GenAI Ops)

We are seeking a highly motivated and experienced Generative AI Operations (GenAI Ops) Engineer to build, deploy, and maintain operational infrastructure for generative AI models and services. You will work closely with data scientists, machine learning engineers, and software developers to ensure GenAI applications—especially complex, multi-agent systems—are scalable, reliable, and efficient across major cloud platforms.

Responsibilities

• Build and Manage CI/CD Pipelines: Design, implement, and maintain robust, automated CI/CD pipelines for training, evaluating, and deploying large language models (LLMs) and AI agents.
• Orchestrate Agentic AI Workflows: Design, deploy, and manage sophisticated, multi-agent systems. Ensure seamless Agent-to-Agent (A2A) communication and collaboration between specialized agents to automate complex business processes.
• Manage Tool Integration: Implement and manage secure, scalable integrations between AI agents and external tools/APIs, leveraging open standards like the Model Context Protocol (MCP) to ensure interoperability.
• Leverage AI-Powered Development: Utilize AI-powered development tools to accelerate the software development lifecycle, from writing infrastructure code and tests to troubleshooting operational issues in cloud environments.
• Infrastructure as Code (IaC): Utilize cloud-native IaC services or cloud-agnostic tools like Terraform to define and manage infrastructure required for GenAI workloads.
• Model Monitoring and Observability: Implement monitoring and logging solutions to track model and agent performance, resource utilization, and system health, including tracing agent actions and multi-step conversational flows.
• Scalability and Performance Optimization: Design scalable architectures for model serving and inference, and optimize the performance and cost-effectiveness of GenAI services.
• Security and Compliance: Implement and enforce security best practices for GenAI infrastructure and data, ensuring compliance with industry standards and regulations.

Requirements

• 3+ years in a DevOps, SRE, or MLOps role with a focus on cloud infrastructure and a background in AWS, GCP, or Azure.
• Skills in building and managing CI/CD pipelines with Jenkins, GitLab CI, or cloud-native services, plus proficiency in Python or Bash.
• Familiarity with AWS CDK, CloudFormation, or Terraform, and containerization/orchestration with Docker and Kubernetes.
• Track record of deploying and operating LLM inference with vLLM, Triton, TGI, Ray Serve, or KServe/Seldon.
• Hands-on experience with LLM/application tracing and metrics, including OpenTelemetry with Langfuse, Arize Phoenix, or WhyLabs, and evaluation pipelines with offline/online regression suites.
• Skills in operating retrieval pipelines, including embedding generation, indexing and refresh strategies, vector databases (Pinecone, Weaviate, Milvus, FAISS), and relevance monitoring.
• Experience running multi-agent workflows with LangGraph, CrewAI, or AutoGen-like frameworks, including state management, retries, rate limits, tool-failure handling, and step-level auditing.
• Experience implementing guardrails: secrets isolation, tool/API permissions, prompt-injection defenses, data-leakage prevention, PII redaction, and policy enforcement.
• Background integrating agents with external tools using MCP or similar tool-calling standards and operating tool registries is a plus.

Nice to have

• Master's degree or PhD in Computer Science, AI, Machine Learning, or a related field.
• Experience with cloud-native GenAI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
• Familiarity with the architecture and operational challenges of LLMs.
• Experience designing or managing multi-agent systems or complex, orchestrated workflows.
• Knowledge of Prometheus, Grafana, or Datadog.
• Relevant cloud or DevOps certifications.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

We offer

• A team of technology professionals working in AI, cloud, and digital platform modernization, with a supportive and agile culture.
• Hybrid work and the opportunity to work remotely within Poland.
• Opportunity to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.
• Career development programs, thought leadership, mentoring, soft-skills and well-being programs, certifications (Anthropic, Gemini, GCP, Azure, AWS), and English classes.
• Stable pay.
• Participation in the Employee Stock Purchase Plan with a 15% discount.
• Benefits package, including health insurance, multisport, and shopping vouchers.
• Referral bonuses up to $2,000.
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, coffee, and more.
• Corporate, social, and well-being events.

Please note

• Listed benefits are available to employees only.
• Contractor engagement is possible; B2B cooperation terms are agreed individually.
• Only selected candidates will be contacted.