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. - 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. Posted On: 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.