Senior Applied AI Engineer for Production AI Solutions

Newfold Digital; Argentina; Presencial; ARS 2.000.000 - 3.000.000; Jornada completa

Descripción de la vacante

Newfold Digital is seeking a Senior Applied AI Engineer to build production AI experiences across our network solutions. You will turn ambiguous problems into reliable, observable systems using Python, FastAPI, PostgreSQL, Redis, and modern AI tooling.

You will design event-driven architectures, build tool- calling agents and multi-step workflows, and evaluate models from major providers to optimize quality, latency, and cost.

Formación

• 5+ years of professional software engineering experience building production backend, distributed, or cloud based systems.
• Hands on experience building Applied AI, LLM, RAG, NLP, or agent based applications, with production exposure.
• Advanced Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy/SQLModel, and production API development.
• Strong backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging.
• Production experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue architectures.
• Hands on experience integrating LLM APIs and building structured output, function/tool/agent workflows.
• Experience building at least one RAG or knowledge grounded system with measurable quality and latency outcomes.
• Strong PostgreSQL and data modeling skills, with Redis, pgvector, vector databases, or hybrid search tech.

Responsabilidades

• Translate loosely defined product problems into practical AI solutions, choosing between LLMs, RAG, tool calling, agents, deterministic workflows, or traditional software.
• Design and build production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools.
• Build reliable tool calling agents and multi step workflows that interact with internal APIs, MCP tools, business systems, and knowledge sources.
• Design event driven systems using RabbitMQ, Kafka, Azure Service Bus, or equivalent platforms, including retries and idempotency.
• Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, and citations.
• Experiment with models from OpenAI, Anthropic, Google, xAI, and open weight ecosystems, selecting the right model for quality and cost.
• Create AI evaluation pipelines using curated datasets, regression tests, retrieval metrics, and groundedness checks.
• Diagnose hallucinations, retrieval failures, incorrect tool usage, and latency issues.

Conocimientos

Python

FastAPI

Asynchronous programming

REST APIs

Distributed systems

LLM integration

Tool calling

RAG workflows

Herramientas

PostgreSQL

Redis

SQLAlchemy/SQLModel

RabbitMQ

Kafka

Descripción del empleo

Newfold Digital is seeking a Senior Applied AI Engineer to build production AI experiences across our network solutions. You will turn ambiguous problems into reliable, observable systems using Python, FastAPI, PostgreSQL, Redis, and modern AI tooling.

You will design event-driven architectures, build tool- calling agents and multi-step workflows, and evaluate models from major providers to optimize quality, latency, and cost.