Full Stack AI Engineer
Posted 23 Sep 2026
Advertised as “Senior Full stack AI engineer ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Employment
- Remote
No salary listed for this role.
Field of studyComputer Science (or related)
Study levelBachelor's
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.