Senior Full stack AI engineer

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.