---
title: "Senior Full Stack AI Engineer"
company: "Encora"
company_url: "https://www.remjobs.works/companies/encora"
url: "https://www.remjobs.works/job/encora-senior-full-stack-ai-engineer-8762cf1a-6525-42ea-9865-63effa37ec51"
apply_url: "https://job-boards.greenhouse.io/encora10/jobs/5229690007"
workplace: onsite
location: "Brazil"
employment_type: unspecified
seniority: senior
role: ai-machine-learning
region: latin-america
skills: ["airflow", "aws", "azure", "databricks", "docker", "kubernetes", "llm", "mongodb", "nodejs", "postgres", "python", "react", "sql", "terraform"]
date_posted: 2026-09-03T12:39:18.000Z
first_seen_by_remjobs: 2026-09-15T16:24:06.902Z
---

# Senior Full Stack AI Engineer

**Encora** · Brazil

Apply: https://job-boards.greenhouse.io/encora10/jobs/5229690007

## About Encora

Neutral infrastructure for returns: bins, tags, a verification cloud, and APIs.

## About the role

**Job Title:** Senior Full Stack AI Engineer (with Solution Architecture experience)

**Key Skills:** Architecture, AI/ML, Data, Cloud & Infrastructure, DevOps, UI

**Location: **Brazil

**Mode: **Remote

At **Coforge** we are looking for a hands-on **Senior Full stack AI engineer** with Solution Architect experience to design and guide the build of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.

**Key Responsibilities**

- GenAI & Autonomous Agents 

Build Autonomous Agents: Deploy stateful agents (using LangGraph) that plan tasks, query Knowledge Graphs, and execute tools without hallucinating.

- Advanced RAG: Build Graph-RAG pipelines that combine semantic search with structured knowledge traversal for grounded answers.

- Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.

- Collaborate with domain experts to align agent behavior with technical expectations and constraints.

- Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.

- Continuously optimize prompting, agent orchestration, and performance under real-world conditions.

- High-Performance APIs: Build low-latency Python services (FastAPI) to serve live data to frontend and AI models.

- Solution Architecture: Design and implement performant, resilient, and scalable SaaS applications following microservice architecture in production environments.

- Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).

- Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.

- Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (SQL Server, PostgreSQL, MongoDB).

- Cross-Functional Influence: Partner with product management, sales, customer, and engineering teams to align technical solutions with business needs.

- Rapid Delivery: Adopt a “deliver fast” mentality without compromising code quality, testing, or API design standards. 

**Required Skills & Qualifications**

- BS in Computer Science or a related STEM field.

- Experience in software development of complex applications.

- Proven track record designing and implementing performant, resilient, and scalable SaaS applications following microservice architecture in real-world scenarios.

- Strong experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).

- Data modeling and database design experience (SQL Server, PostgreSQL, MongoDB).

- Experience with data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).

- Experience of AI/ML technologies, including agentic AI frameworks (LangChain, AutoGen, CrewAI).

- Fluency in one or more of: Node.js, Python

- Experience with DevOps and build pipeline tooling (e.g., GitLab Runner).

- Experience writing unit tests and maintaining high code quality.

- Hands-on experience influencing cross-functional product management, sales, customer, and engineering teams.

- Advanced English communication skills. 

**Preferred Skills:**

- UI experience such as React.

- Prior experience building technical or real-time acquisition software in the Oil & Gas industry.

- Azure AI Engineer, Azure Data Engineer, or Azure Architect certification. 

**Posted On:** 2-08-2026

**At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.**

---

Source: Encora's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/encora-senior-full-stack-ai-engineer-8762cf1a-6525-42ea-9865-63effa37ec51