Senior Full stack AI engineer
A senior hands-on engineer (hired via Encora for Coforge) who leads solution architecture and builds AI-powered, cloud-native SaaS platforms for industrial environments. Day to day: designing generative/agentic AI systems with LangChain, LangGraph, AutoGen, and CrewAI, building Python FastAPI services, and deploying on Azure/AWS with Docker, Kubernetes, and Terraform.
- Compensation
- Not disclosed
- Location
- Latin America
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Fullstack
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, or a related STEM field
- 8+ years of experience
- Solution Architecture experience
- Proven experience designing and implementing scalable microservices-based enterprise applications
- Strong expertise in AI/ML frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar
- Experience building and deploying Generative AI and Agentic AI solutions in production
- Experience with AI-assisted development tools such as Claude Code and GitHub Copilot
- 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 Python, Node.js, React
- Experience designing performant, secure, and resilient SaaS applications
- Strong communication, problem-solving, and leadership skills
- Advanced English
Nice to have
- Strong frontend development experience using React
- Experience in the Energy, Oil & Gas, or Industrial sectors
- AI-focused certifications and technical training, including Claude Code Architect or similar
- Experience implementing enterprise-level AI governance and responsible AI practices
- Exposure to large-scale cloud transformation initiatives
Full 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.