Sr. AI Engineer

Promtior; Córdoba; Presencial; ARS 135.892.000 - 226.487.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

20 paid days off per year

Flex Days: monthly team activities

Internal clubs

Descripción de la vacante

Promtior is seeking a Senior AI Engineer to lead the design and delivery of production-grade agentic AI systems. You will own architecture decisions, orchestrate tools, and guide a team across client engagements to scale our AI capabilities.

The role requires deep Python expertise, experience with LLM-based systems, and strong cloud / API integration skills, with a focus on reliability, cost, and latency in production environments.

Formación

• Advanced or completed studies in Systems Engineering, Data Science, AI, or related fields.
• 5+ years of professional software engineering experience.
• 2+ years of hands‑on experience building and shipping agentic or LLM‑based systems to production environments (not proofs of concept).
• Strong, production‑level command of Python.
• Proven experience designing agents and tool orchestration, including reliability, cost, and latency considerations.
• Proven experience designing and evaluating RAG pipelines: chunking and retrieval strategies, embeddings, vector databases, and relevance measurement.
• Solid architecture and integration skills across APIs, backend services, and cloud environments (AWS, GCP, or Azure).
• Demonstrated experience acting as a technical reference: mentoring engineers, reviewing code, and owning technical decisions.
• Experience working directly with clients or technical stakeholders as the technical counterpart.
• Good command of Git and collaborative work in technical teams.
• Advanced English Level.

Responsabilidades

• Lead the design and development of production-grade agentic AI systems, defining the architecture of autonomous agents, tool orchestration, and retrieval pipelines, and selecting the right models, tools, and trade-offs for each use case.
• Establish evaluation and quality practices for agentic systems — evals, guardrails, observability, and cost and latency optimization — and be accountable for their reliability in production.
• Act as the technical counterpart for clients, translating business problems into agentic solutions, running technical discovery, and defending the approach in front of technical stakeholders.
• Mentor and unblock other engineers, review their work, and drive the adoption of new AI technologies across teams.
• Contribute to the continuous evolution of our solutions toward more advanced ML components.

Conocimientos

Python

LLM deployment

Agentic AI

RAG pipelines

Git

NLP/text processing

Cloud computing

Educación

Systems Engineering

Data Science

AI

Herramientas

AWS

GCP

Azure

Docker

CI/CD

Descripción del empleo

Promtior is at the forefront of the Agentic AI revolution, delivering cutting-edge solutions that transform businesses across industries — bridging technology and people to turn AI into a real competitive advantage. Since 2023, we've helped organizations boost operational efficiency through tailored Agentic AI solutions, from discovery and development to full implementation, across three core lines: AI Product Delivery (predictive analytics, intelligent automation, AI-driven chatbots, image processing), AI Department as a Service (LATAM-based teams that integrate directly with our clients' teams), and AI Adoption Consulting (helping companies find and act on AI opportunities across their business).

We're a team held together by genuine relationships, constant exchange, and shared learning. We believe innovation happens when people feel included and collaborate with purpose, and we aim for professional growth to go hand in hand with personal well-being.

About the Role

We're looking for a Senior AI Engineer with deep hands-on experience building agentic AI systems to join our Engineering team as a technical reference. This is a senior, client-facing position: you will own the technical direction of our agentic solutions end to end, make and defend architecture decisions in front of clients, and raise the technical level of the engineers around you as we scale our global operation.

Key Responsibilities

You will lead the design and development of production-grade agentic AI systems, defining the architecture of autonomous agents, tool orchestration, and retrieval pipelines, and selecting the right models, tools, and trade-offs for each use case. You will establish evaluation and quality practices for agentic systems — evals, guardrails, observability, and cost and latency optimization — and be accountable for their reliability in production. You will act as the technical counterpart for clients, translating business problems into agentic solutions, running technical discovery, and defending the approach in front of technical stakeholders. You will mentor and unblock other engineers, review their work, and drive the adoption of new AI technologies across teams. You will also contribute to the continuous evolution of our solutions toward more advanced ML components.

Required Experience

• Advanced or completed studies in Systems Engineering, Data Science, AI, or related fields.
• 5+ years of professional software engineering experience.
• 2+ years of hands‑on experience building and shipping agentic or LLM‑based systems to production environments (not proofs of concept).
• Strong, production-level command of Python.
• Proven experience designing agents and tool orchestration, including reliability, cost, and latency considerations.
• Proven experience designing and evaluating RAG pipelines: chunking and retrieval strategies, embeddings, vector databases, and relevance measurement.
• Solid architecture and integration skills across APIs, backend services, and cloud environments (AWS, GCP, or Azure).
• Demonstrated experience acting as a technical reference: mentoring engineers, reviewing code, and owning technical decisions.
• Experience working directly with clients or technical stakeholders as the technical counterpart.
• Good command of Git and collaborative work in technical teams.
• Advanced English Level.
• Advanced English Level.

Especially Valued

• Experience with multi-agent systems and Model Context Protocol (MCP).
• Experience with model evaluation frameworks, guardrails, and AI observability tooling.
• Experience adapting, fine‑tuning, or evaluating ML models.
• Knowledge of MLOps and model deployment at scale.
• Experience with NLP or text processing.
• Knowledge of Docker, containers, and CI/CD.
• Experience leading technical discovery or AI adoption initiatives with clients.
• 20 paid days off per year.
• Flex Days: monthly team activities.
• Internal clubs (soccer, padel, running, cinema).

Location