AI Native Software Engineering Specialist (Agentic AI)

Location: Roma, Italy; other location: Assago, Via del Mulino 11a

Gross annual salary: €28,500–€45,300 for B1 or €32,000–€54,900 for B3, under the B1 and B3 National Collective Bargaining Agreement.

Company

hirify.global is a global professional services company helping organizations build digital cores, optimize operations, accelerate growth, and develop cloud, data, and AI solutions across more than 120 countries.

What you will do

• Design, build, and deploy production-grade agentic AI systems with multi-agent orchestration, RAG, policy-based routing, tool invocation, memory management, and lifecycle observability.
• Own RAG pipelines covering embeddings, chunking, vector search, context-window engineering, and quality tuning.
• Integrate OpenAI, Anthropic, Vertex AI, and open-source models with provider abstraction, fallback routing, and token, cost, and latency management.
• Implement production LLMOps, including evaluation harnesses, prompt versioning, observability, cost monitoring, and safety monitoring.
• Work directly with client engineering teams through workshops, proofs of concept, code-with sessions, technical design sessions, and architecture walkthroughs.
• Create reusable patterns, accelerators, and playbooks; define metrics for accuracy, latency, safety, and cost-effectiveness and present recommendations to client stakeholders.

Requirements

• Hands-on experience designing and deploying agentic AI solutions in production is required.
• Production-depth experience with agentic orchestration frameworks such as LangGraph, CrewAI, AutoGen, or equivalent.
• Production experience calling OpenAI, Anthropic, or Vertex AI APIs, including provider abstraction and token, latency, and cost trade-offs.
• Ownership of RAG pipelines involving embeddings, chunking strategy, vector databases, and context engineering.
• LLMOps fundamentals: evaluation-harness design, prompt versioning, and production observability.
• Cloud-native engineering experience with Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code using Terraform or Helm.
• Strong Python skills; Java or an equivalent backend language is acceptable.
• Production debugging and observability experience.
• Quality of experience is prioritized over years of experience; shipping three production agentic systems in four years is preferred over passive or generalist AI exposure.

Culture & Benefits

• Work across industries, enterprise technology stacks, and organizational complexity.
• Access to vendor fellowship opportunities with Anthropic, OpenAI, Microsoft, and Google engineering teams.
• Potential pathway to the Forward Deployed Engineer programme.
• Employment follows the B1 and B3 National Collective Bargaining Agreement.