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EncoraSenior Full Stack AI Engineer
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Before you apply
LocationCali, Peru
Work moderemote
Typefull-time
SenioritySenior
DepartmentCSA Billable
Company size10,000+ people
PostedOct 12, 2026 · 3w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science or a related STEM field
Strong experience designing and implementing scalable, resilient, production-grade applications using microservice architecture
Strong experience with AI/ML and agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies
Experience building autonomous agents, RAG solutions, and AI systems with safeguards for accuracy, traceability, and reliability
Strong experience with AI-assisted development tools such as Claude Code and GitHub Copilot, including harness engineering principles
Proven experience with specification-driven development (SDD) methodologies
Experience with Azure and/or AWS, Docker, Kubernetes, Terraform, and Ansible
Experience with relational and NoSQL databases, including technologies such as SQL Server, PostgreSQL, and MongoDB
Strong proficiency in one or more of the following technologies: Node.js, Python, or React
Advanced English communication skills with the ability to influence technical and cross-functional stakeholders
Hands-on UI development experience with React
Experience developing high-performance APIs using Python and FastAPI
Prior software development experience within the Oil & Gas industry
Skills
Solution Architecture
Generative AI
Agentic AI
LangGraph
RAG
Python
FastAPI
Node.js
React
Azure
AWS
Kubernetes
Terraform
Docker
Ansible
LangChain
AutoGen
CrewAI
Claude Code
GitHub Copilot
SQL Server
PostgreSQL
MongoDB
About the role
Job Title: Senior Full Stack AI Engineer (Solution Architecture)
Key Skills: Solution Architecture, Generative AI, Agentic AI, LangGraph, RAG, Python, FastAPI, Node.js, React, Azure, AWS, Kubernetes, Terraform
Experience: Senior Level.
Location: Peru.
Mode: Remote.
We at Coforge are hiring Senior Full Stack AI Engineer (Solution Architecture) (#006fu00000aq9YlAAI-1) with the following skill set.
Key Responsibilities
•
Design and implement performant, resilient, and scalable cloud-native SaaS applications using microservice architectures, owning technical decisions across application, data, infrastructure, and deployment layers.
•
Build autonomous AI agents using LangGraph and advanced Graph-RAG pipelines, integrating engineering tools, simulators, databases, knowledge graphs, and other enterprise knowledge sources.
•
Develop high-performance, low-latency Python services using FastAPI and architect cloud infrastructure on Azure and/or AWS using Docker, Kubernetes, Terraform, and Ansible.
•
Partner with engineering, product, sales, customer, and domain teams to guide architectural decisions, document solution architectures, and rapidly deliver reliable solutions while maintaining code quality and engineering standards.
Required Skills & Qualifications
•
Bachelor’s degree in Computer Science or a related STEM field.
•
Strong experience designing and implementing scalable, resilient, production-grade applications using microservice architecture.
•
Strong experience with AI/ML and agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies.
•
Experience building autonomous agents, RAG solutions, and AI systems with safeguards for accuracy, traceability, and reliability.
•
Strong experience with AI-assisted development tools such as Claude Code and GitHub Copilot, including harness engineering principles.
•
Proven experience with specification-driven development (SDD) methodologies.
•
Experience with Azure and/or AWS, Docker, Kubernetes, Terraform, and Ansible.
•
Experience with relational and NoSQL databases, including technologies such as SQL Server, PostgreSQL, and MongoDB.
•
Strong proficiency in one or more of the following technologies: Node.js, Python, or React.
•
Advanced English communication skills with the ability to influence technical and cross-functional stakeholders.
Preferred Skills:
•
Hands-on UI development experience with React.
•
Experience developing high-performance APIs using Python and FastAPI.
•
Prior software development experience within the Oil & Gas industry.
•
AI-related