Senior Software AI Engineer / Temporary project

Monks; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A global digital marketing firm is seeking a Software Engineer to develop an innovative AI-powered customer experience platform. The role involves designing backend microservices and integrating advanced LLM intelligence for real-time customer interaction. Candidates should have over 5 years of experience in backend development, familiarity with AWS, and strong communication skills in Portuguese, English, and Spanish. This position offers a unique opportunity at the intersection of AI and logistics, contributing to a transformative product.

Qualificações

• 5+ years of backend software development experience.
• Proficiency with AWS services is required.
• Experience with LLM integration and RAG architectures.

Responsabilidades

• Design and maintain backend microservices for the platform.
• Integrate messaging APIs with cloud services.
• Implement RAG pipelines for natural responses.

Conhecimentos

Backend software development (Node.js / TypeScript / Python)

AWS services (Lambda, API Gateway, DynamoDB, SQS/SNS, EventBridge, CloudWatch)

LLM integration and RAG architectures

Integrating third-party APIs and webhooks

RESTful APIs and microservices

Data modeling and ETL processes

Multilingual communication (Portuguese / English / Spanish)

Descrição da oferta de emprego

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

About the Role

We're looking for a Software Engineer to join our team developing an innovative AI-powered customer experience platform. The project's first milestone is a prototype that integrates advanced Large Language Model (LLM) intelligence into conversational customer interactions, enabling proactive delivery updates, real-time tracking, and automated responses powered by Retrieval-Augmented Generation (RAG).

This is a unique opportunity to work at the intersection of AI, cloud infrastructure, and retail logistics, building a product that will redefine how businesses communicate with their customers.

Responsibilities

• Design, build, and maintain backend microservices and APIs for the customer experience platform prototype.
• Integrate conversational messaging APIs with cloud-based backend services (API Gateway, Lambda, Step Functions, DynamoDB).
• Implement a RAG pipeline using advanced LLM models for natural, contextual responses grounded in live logistics data.
• Build connectors to logistics partners and brokers using cloud SDKs, event management tools, and message queue services.
• Normalize and store tracking events in a canonical schema using relational or NoSQL databases.
• Design and deploy event-driven workflows for proactive delivery notifications and customer engagement.
• Apply prompt-engineering best practices, schema validation, and guardrails to ensure factual, safe, and policy-compliant LLM outputs.
• Collaborate with AI/NLP specialists to optimize language model prompts and retrieval performance.
• Implement observability and monitoring for latency, cost, and model quality metrics.

Requirements

• 5+ years of backend software development (Node.js / TypeScript / Python).
• Experience with AWS services: Lambda, API Gateway, DynamoDB, SQS/SNS, EventBridge, CloudWatch.
• Familiarity with LLM integration and RAG architectures (Llama 2/3, Bedrock, LangChain, or similar).
• Experience integrating third‑party APIs and webhooks in event‑driven systems.
• Solid understanding of RESTful APIs, microservices, and JSON‑schema validation.
• Knowledge of data modeling and ETL processes in logistics or e‑commerce domains.
• Excellent communication skills and the ability to work in multilingual teams (Portuguese / English / Spanish).

Nice to Have

• Experience using AWS Bedrock for hosting and fine‑tuning Llama models.
• Familiarity with OpenSearch Serverless for vector search and RAG retrieval.
• Exposure to AI safety / guardrails frameworks (Guardrails AI, Truss, LangChain JSONOutputParser).
• Experience with WhatsApp Business API, Twilio, or conversational platforms.
• Knowledge of Kinesis Data Streams or Kafka for high‑volume event ingestion.

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise‑grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.