hirly

Apply with hirly

Senior Full stack AI engineer

Encora10 · Latin America

Upload your resume to see how well you match this job — free, in seconds, no account needed.

Your resume is used only to score it against this job. If you don't create an account, it is deleted within 24 hours.

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.