Senior Applied AI Engineer: Production-Grade AI Solutions

Network Solutions; Argentina; On-site; ARS 136,430,000 - 197,065,000; Full time

Job summary

Network Solutions is seeking a hands-on Senior Applied AI Engineer to ship real AI products, from conversational agents to knowledge and FAQ tools, across production systems. You will turn ambiguous problems into secure, observable solutions and design scalable AI services using Python and modern tooling.

You'll work with LLMs, RAG, and tooling to ensure quality, latency, and cost efficiency. Strong backend and data modeling skills with experience in RabbitMQ, Kafka, and Redis are required.

Qualifications

• 5+ years of professional software engineering experience building production backend, distributed, or cloud systems.
• Hands on experience with Applied AI, LLM, RAG, NLP, or agent-based applications with production exposure.
• Advanced Python skills including FastAPI, asynchronous programming, Pydantic/SQLModel, and production API development.
• Strong backend and distributed systems fundamentals including REST APIs, concurrency, caching, and production debugging.
• Experience with RabbitMQ, Kafka, or Azure Service Bus and related architectures.
• Experience integrating LLM APIs and building structured output, function/tool/agent workflows.
• Experience with at least one RAG or knowledge grounded system with measurable quality and latency outcomes.

Responsibilities

• Translate product problems into practical AI solutions, choosing between LLMs, RAG, tool calling, agents, 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 and business systems.
• Design event-driven systems using RabbitMQ, Kafka, Azure Service Bus, including retries and failure recovery.
• Build and improve RAG systems covering ingestion, embeddings, hybrid retrieval, and citations.
• Experiment with models from OpenAI, Anthropic, Google, xAI, and open weight ecosystems for quality and cost.
• Create AI evaluation pipelines with datasets, regression tests, and grounding checks.
• Diagnose hallucinations, retrieval failures, and latency issues.

Skills

Years of experience

Applied AI

Python

FastAPI

Distributed systems

LLM/AI tooling

Tools

Python

FastAPI

PostgreSQL

Redis

RabbitMQ

Kafka

Job description

Network Solutions is seeking a hands-on Senior Applied AI Engineer to ship real AI products, from conversational agents to knowledge and FAQ tools, across production systems. You will turn ambiguous problems into secure, observable solutions and design scalable AI services using Python and modern tooling.

You'll work with LLMs, RAG, and tooling to ensure quality, latency, and cost efficiency. Strong backend and data modeling skills with experience in RabbitMQ, Kafka, and Redis are required.