Senior AI Engineer (Agent Platform)

Location: Remote / Hybrid; working-hours overlap with CEST.

Company

hirify.global is a global digital engineering, product development, and technology consulting company with 1,000+ experts across 65+ countries.

What you will do

• Own features from business discovery and acceptance criteria through implementation, testing, deployment, monitoring, and support handoff.
• Build AI agent workflows, APIs, backend services, web interfaces, and enterprise integrations.
• Develop reusable capabilities adapted to customer environments, access-management models, data sources, and constraints.
• Define enforceable business rules, tool permissions, stop conditions, and human approval points outside the model.
• Investigate failures across source data, API contracts, logs, traces, configuration, and deployed versions.
• Package customer-specific solutions for reuse and deployment in other environments while using AI coding agents across the SDLC.

Requirements

• Hands-on delivery of an LLM application integrated with real tools or data, with evaluation evidence covering task success, grounding, tool selection, failure recovery, latency, and cost.
• Experience with tool/function calling, structured outputs, RAG, context management, and stateful agent workflows.
• 4+ years of production TypeScript and Node.js experience with NestJS or a comparable framework, PostgreSQL/ORM, and React.
• Production ownership of deployments, incident investigation, migrations, and rollbacks.
• Experience with SQL, relational data modeling, schema migrations, object storage, caches, and asynchronous jobs.
• Hands-on Azure experience with compute and containers, storage, Entra ID, Key Vault, networking, logging, and monitoring.
• Docker and container deployment experience; CI/CD with automated checks, staged releases across environments, migrations, and rollback.
• Experience with REST APIs, OAuth 2.0/OIDC, JWT validation, RBAC, service accounts, least privilege, and secret management.
• Daily use of AI development tools, including an IDE assistant and CLI coding agent, with critical review of generated changes; business English at Upper-Intermediate+ level and CEST working-hours overlap required.
• Ability to work directly with stakeholders and end users, clarify needs, define completion criteria, communicate early, and own customer-facing problems under uncertainty.

Nice to have

• LangGraph or a comparable agent framework, MCP, AI evaluation and observability, Microsoft Foundry, Amazon Bedrock, Google Vertex AI, AWS, Python, Playwright/Appium, Teams/Slack bots, Microsoft Graph, SharePoint, Copilot Studio, Salesforce, Redis, search/vector systems, GitHub Actions, or Azure DevOps.

Culture & Benefits

• Work on real-world AI agent use cases with access to frontier models and cloud environments.
• Work directly with enterprise customers on delivered solutions.
• Transparent professional and managerial career paths, education and certification support, and a personal development plan.
• Access to Udemy and free language courses.
• Remote, hybrid, or in-office work options, competitive compensation, referral bonuses, team events, and recognition programs.