Position: Technical Lead – Agentic AI Engineering
Location: Remote / Hybrid (Argentina, Chile, Colombia, Paraguay, Peru, Uruguay)
Job Type: Full-Time-Remote Work
DEACERO, a global leader in steel recycling, manufacturing, and sustainable industrial transformation, is expanding its digital and AI-driven innovation team. We are searching for a technical lead in agentic AI engineering to guide a highly skilled group of engineers responsible for reimagining and rebuilding business processes using modern AI-powered architectures.
This is not a migration-only role. This is a next-generation modernization mission that involves extracting logic from legacy systems and redesigning applications from scratch using intelligent agents and cloud-native structures.
If you are passionate about cutting-edge AI systems, distributed architectures, modern cloud engineering, and leading technical teams, this opportunity gives you the platform to make a significant impact across global operations.
About DEACERO
DEACERO is one of the largest steel recycling and manufacturing groups, with operations in Mexico and more than 20 countries across America and Europe, including the United States, Canada, Spain, Colombia, Chile, and the United Kingdom.
The company has:
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21 recycling centers
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3 steel mills
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15 wire product plants
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1 innovation and research center
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26 distribution centers
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More than 9,000 employees
Sustainability is the core of DEACERO’s operations. The company focuses on environmentally friendly steel production, circular economy principles, and advanced technologies for recycling and manufacturing.
Role Summary
As the Technical Lead – Agentic AI Engineering, you will lead a team of 3–4 engineers to redesign business processes using AI agents capable of analyzing and understanding legacy systems. Instead of transferring old code, you will build entirely new cloud-native applications that take advantage of modern distributed architectures.
Your work will directly support DEACERO’s organizational and digital transformation efforts, allowing the company to evolve its technology ecosystem with high-impact AI modernization.
Key Responsibilities
Technical Leadership & Mentoring
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Lead, mentor, and support a small engineering pod specializing in agent-based modernization.
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Set coding standards, documentation requirements, and architectural principles.
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Conduct code reviews and pair programming sessions.
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Help unblock technical and architectural challenges.
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Promote a culture of innovation, experimentation, and continuous improvement.
AI-Driven Modernization
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Design AI agents capable of extracting business rules from legacy systems (code and data).
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Translate complex processes into modern workflows and cloud-native solutions.
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Build multi-agent architectures that automate process analysis and redesign.
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Oversee complete transformation pipelines from legacy data to modern applications.
Agentic System Architecture
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Implement advanced agent patterns such as ReAct, Reflection, and Tool-Use.
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Orchestrate multi-agent systems using Google ADK, LangChain, CrewAI, AutoGen, and other modern frameworks.
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Implement inter-agent communication protocols (MCP, A2A).
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Manage long-term context, memory, and state for persistent agents.
Technical Ecosystem & Stack
You will work with:
Legacy Systems
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MS SQL Server (procedures, triggers, views)
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ASP.NET, C#, monolithic systems
Destination Architecture
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Microservices on GKE / Cloud Run
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Cloud SQL, AlloyDB, BigQuery
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Modern distributed workflows
AI Technologies
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Gemini models, Vertex AI integration
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LangChain, CrewAI, DSPy, AutoGen
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Weaviate, pg_vector, BigQuery Vector Search
Cloud & DevOps
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GKE, Cloud Run, Cloud Functions
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Apigee, Eventarc, Firestore
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GitHub Actions, Terraform, Docker, Kubernetes
Full-Stack Engineering
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FastAPI, Django REST, Spring Boot
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Next.js, React, Vue 3 / Nuxt
Required Experience
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5+ years leading technical teams in modernization or digital transformation.
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3+ years working with cloud-native architectures (preferably GCP).
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1+ year building with LLMs or agentic AI systems.
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Experience with legacy system analysis and process extraction.
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Strong mentoring and team development background.
Technical Skills
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Expertise in agentic AI design and implementation.
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Strong Python or TypeScript/JavaScript development experience.
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Deep understanding of legacy architectures and modern distributed systems.
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Experience with vector databases, embeddings, and RAG pipelines.
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CI/CD, IaC, and GitOps practices.
Leadership Skills
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Ability to translate business needs into technical solutions.
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Strong communication with both technical and non-technical stakeholders.
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Experience leading teams using Agile methodologies.
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Strategic mindset and product-oriented thinking.
Work Model
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80% remote
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Hybrid meetings 1–2 times per week
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Flexible schedule (core hours 10:00–16:00 Monterrey)
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Occasional travel to Monterrey, Mexico
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Open to applicants from Argentina, Chile, Colombia, Paraguay, Perú, and Uruguay
How to Apply
Send your updated CV and GitHub portfolio demonstrating:
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LLM projects
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Agent-based architectures
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Clear documentation
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Evidence of business logic extraction and transformation
Disclaimer:
The job details shared here are carefully structured for clarity and are based on publicly available information from verified recruiters and company pages. All rights remain with the original sources. Company names may be withheld for confidentiality. AvaraJobs is not directly involved in the recruitment or hiring process.
