# Senior Full stack AI engineer at Encora

Senior Full stack AI engineer at Encora in Latin America. Remote. Posted September 23, 2026.

- Company: Encora
- Location: Latin America
- Workplace: Remote
- Experience: 8+ years
- Posted: 2026-09-23
- Apply: https://job-boards.greenhouse.io/encora10/jobs/5244244007
- Source: https://jobmagic.ai/jobs/senior-full-stack-ai-engineer-encora-qy1qtb

## Requirements

- Bachelor's degree in Computer Science, Engineering, or a related STEM field.
- Proven experience designing and implementing scalable microservices-based enterprise applications.
- Strong expertise in AI/ML frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies.
- Experience building and deploying Generative AI and Agentic AI solutions in production environments.
- Strong experience with AI-assisted development tools such as Claude Code, GitHub Copilot, and related technologies.
- Experience with Specification Driven Development (SDD) methodologies.
- Hands-on expertise with Azure and/or AWS.
- Experience with Docker, Kubernetes, Terraform, and Ansible.
- Strong understanding of SQL and NoSQL databases.
- Proficiency in one or more of the following technologies: Python
- Node.js
- React

## Description

### Job Title:

Senior Full Stack AI Engineer (Solution Architecture Experience)

### Key Skills:

Solution Architecture, AI/ML, Generative AI, Agentic AI, LangChain, LangGraph, Python, Node.js, React, Azure, AWS, Kubernetes, Docker, Terraform, Data Architecture, Microservices

### Experience:

8+ Years of Experience

### Location:

LATAM

### Mode:

Remote

At **Coforge**, we are hiring a **Senior Full Stack AI Engineer (006fu00000aq9YlAAI-1)** with Solution Architecture experience to design and build scalable, cloud-native SaaS platforms for complex industrial environments.

This is a highly technical, hands-on role where you will lead architectural decisions, develop AI-powered solutions, and drive the adoption of emerging technologies such as Generative AI and Autonomous Agents while collaborating with cross-functional teams across engineering, product, sales, and customer organizations.

### Key Responsibilities

### Generative AI & Autonomous Agents

- Design and build autonomous AI agents using technologies such as LangGraph, LangChain, AutoGen, and CrewAI.

- Develop advanced Graph-RAG architectures combining semantic search and structured knowledge retrieval.

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

- Optimize prompting strategies, agent orchestration, and AI performance in production environments.

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

- Develop high-performance Python APIs using FastAPI to support AI and frontend applications.

### Solution Architecture

- Design and implement scalable, resilient, and high-performance SaaS platforms based on microservices architecture.

- Define architectural standards, best practices, and technical roadmaps for enterprise applications.

- Guide engineering teams on architecture and design decisions while remaining actively involved in development.

### Cloud & Infrastructure

- Architect cloud-native solutions leveraging Azure and/or AWS.

- Implement containerized environments using Docker and Kubernetes.

- Manage Infrastructure as Code using Terraform and Ansible.

### Data Architecture

- Drive data modeling and database architecture decisions across SQL and NoSQL environments.

- Design scalable data platforms that support AI, analytics, and operational workloads.

### Cross-Functional Collaboration

- Partner with Product, Sales, Customer Success, and Engineering teams to align business and technical objectives.

- Produce architecture diagrams, technical documentation, and solution design artifacts.

### Required Skills & Qualifications

- Bachelor's degree in Computer Science, Engineering, or a related STEM field.

- Proven experience designing and implementing scalable microservices-based enterprise applications.

- Strong expertise in AI/ML frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies.

- Experience building and deploying Generative AI and Agentic AI solutions in production environments.

- Strong experience with AI-assisted development tools such as Claude Code, GitHub Copilot, and related technologies.

- Experience with Specification Driven Development (SDD) methodologies.

- Hands-on expertise with Azure and/or AWS.

- Experience with Docker, Kubernetes, Terraform, and Ansible.

- Strong understanding of SQL and NoSQL databases.

- Proficiency in one or more of the following technologies:

- Python

- Node.js

- React

- Experience designing performant, secure, and resilient SaaS applications.

- Strong communication, problem-solving, and leadership skills.

- **Advanced English is required.**

### Preferred Skills

- Strong frontend development experience using React.

- Experience within the Energy, Oil & Gas, or Industrial sectors.

- AI-focused certifications and technical training, including Claude Code Architect or similar credentials.

- Experience implementing enterprise-level AI governance and responsible AI practices.

- Exposure to large-scale cloud transformation initiatives.

### Posted On:

23-09-2026

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