Design and build scalable cloud-native SaaS platforms and production-grade Generative AI and Agentic AI solutions. Responsibilities include developing autonomous agents, Graph-RAG architectures, Python APIs, microservices, data platforms, and secure cloud infrastructure on Azure or AWS. The role leads solution architecture, technical roadmaps, architectural standards, AI governance, and cross-functional collaboration while remaining hands-on with development and mentoring engineering teams.
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 ResponsibilitiesGenerative 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.
- 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.
- Architect cloud-native solutions leveraging Azure and/or AWS.
- Implement containerized environments using Docker and Kubernetes.
- Manage Infrastructure as Code using Terraform and Ansible.
- Drive data modeling and database architecture decisions across SQL and NoSQL environments.
- Design scalable data platforms that support AI, analytics, and operational workloads.
- Partner with Product, Sales, Customer Success, and Engineering teams to align business and technical objectives.
- Produce architecture diagrams, technical documentation, and solution design artifacts.
- 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.
- 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.
23-09-2026
At Coforge, we hire professionals based solely on their skills and qualifications. We do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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