AI Engineer

Jobtailor; Barueri; Presencial; BRL 180 000 - 260 000; Tempo integral

Resumo da oferta

Jobtailor is hiring a software engineer to design, build, and operate production AI solutions centering on LLMs, RAG, and agents. You will integrate AI with corporate databases and legacy systems while deploying scalable microservices on Azure.

The role requires deep expertise in .NET/C#, REST APIs, and distributed architectures, plus hands-on experience with Azure AI/OpenAI, embeddings, and vector databases. Expect a dynamic, cost-aware development environment.

Qualificações

• Software engineer with strong C#/.NET experience and API design knowledge.
• Hands-on with REST APIs, microservices, distributed architectures.
• Experience integrating AI/LLM APIs and embedding/vector tools.
• Familiar with cloud deployment, CI/CD, and observability practices.
• Knowledge of Cosmos DB, SQL Server, and data modeling for AI.
• Proficient in prompt engineering and production-quality evals.

Responsabilidades

• Design, build, and operate production AI solutions focusing on LLMs and agents.
• Develop AI integrations with corporate systems and data stores.
• Create pipelines using LLMs, RAG, and AI agents.
• Implement APIs, microservices, and distributed architectures.
• Design scalable, resilient solutions; monitor cost and performance.
• Ensure governance, security, and engineering best practices.

Conhecimentos

Software engineering

.NET / C#

REST APIs

Distributed architecture

Node.js

Prompt engineering

LLM integration

Observability

CI/CD

Cost and performance monitoring

Data modeling for AI

Multimodal AI

Ferramentas

Azure

Azure AI / OpenAI

Foundry

App Services

Functions

Storage

Cosmos DB

SQL Server

Docker

Kubernetes

Descrição da oferta de emprego

Responsibilities

• Design, build, and operate production AI solutions with a focus on LLMs, RAG, agents, and integration with corporate systems
• Develop AI solutions integrated with corporate systems
• Build pipelines using LLMs, RAG, and AI agents
• Implement APIs, microservices, and distributed architectures
• Design scalable and resilient solutions
• Integrate AI with databases and legacy systems
• Monitor performance, cost, and quality of production solutions
• Ensure governance, security, and engineering best practices

Requirements

• Software engineering
• Experience with .NET / C#
• REST APIs and microservices
• Distributed architecture
• Node.js (frontend or APIs)
• Azure (App Services, Functions, Storage)
• Azure AI / Azure OpenAI / Foundry
• Authentication (Entra ID, RBAC)
• Cloud deployment and operations
• Integration with LLM APIs
• Prompt engineering in production
• Understanding of limitations (hallucination, cost, latency)
• Evaluation of response quality
• Embeddings
• Vector databases (e.g., Azure AI Search)
• Document indexing pipelines
• Concepts of chunking, retrieval, and grounding
• Agent orchestration (multi-step, tools)
• Integration with corporate APIs
• Automations and workflows
• Cosmos DB and SQL Server
• Data modeling for AI
• Document ingestion pipelines
• Designing scalable solutions
• Integration with legacy systems
• Integration between APIs, AI, and data
• Observability (logs and metrics)
• Cost and performance monitoring
• CI/CD
• Docker/Kubernetes (desirable)
• Multi-agent experience
• Model evaluation frameworks
• Fine-tuning and embeddings tuning
• Multimodal AI
• Experience with real production projects using LLMs