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 <strong>Coforge</strong>, we are hiring a <strong>Senior Full Stack AI Engineer (006fu00000aq9YlAAI-1)</strong> 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.