Senior Applied AI Engineer: Build Production AI Apps

Network Solutions; Argentina; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Network Solutions is seeking a hands-on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation.

You will take ambiguous customer and product problems, evaluate different approaches, and independently turn the strongest solution

Formación

• 5+ years of professional software engineering experience building production backend, distributed, or cloud-based systems.
• Hands-on experience building Applied AI, LLM, NLP, or agent-based applications, with meaningful production exposure.
• Advanced Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or 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 and messaging architectures.
• Hands on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows.
• Experience building at least one RAG or knowledge grounded system with measurable quality and latency outcomes.
• Strong PostgreSQL and data modeling skills, with experience using Redis, pgvector, vector databases, or hybrid search technologies.
• Demonstrated use of AI coding agents such as Cursor, Claude Code, Codex, or equivalent tools.

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, dead letter handling, idempotency, back pressure, and failure recovery.
• Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations.
• Experiment with models from OpenAI, Anthropic, Google, xAI, and open weight ecosystems, selecting the right model for quality, latency, reliability, and cost.
• Create AI evaluation pipelines using curated datasets, regression tests, retrieval metrics, LLM as judge techniques, groundedness checks, and tool execution evaluation.
• Diagnose hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs.
• Operate as an AI powered engineer using Cursor, Claude Code, OpenAI Codex, or equivalent coding agents to accelerate design, implementation, testing, debugging, and refactoring.
• Turn product goals into testable technical hypotheses and rapidly prototype alternatives when needed.
• Define quality, latency, reliability, safety, and cost targets and measure production performance against them.
• Own implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support.
• Use AI coding agents aggressively to increase engineering velocity while preserving architecture quality, testing discipline, security, and maintainability.

Conocimientos

Production backend development

Applied AI / LLM / NLP

Python programming

REST APIs design

Distributed systems fundamentals

Observability & debugging

Herramientas

PostgreSQL

Redis

RabbitMQ

Kafka

Azure Service Bus

OpenTelemetry

Langfuse

Cursor

Claude Code

OpenAI Codex

Descripción del empleo

Network Solutions is seeking a hands-on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation.

You will take ambiguous customer and product problems, evaluate different approaches, and independently turn the strongest solution