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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related STEM field
- 8+ years of professional experience
- Experience designing and implementing scalable microservices-based enterprise applications
- Expertise with AI/ML frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar
- Experience building and deploying Generative AI and Agentic AI solutions in production
- Experience with AI-assisted development tools such as Claude Code and GitHub Copilot
- Experience with Specification Driven Development methodologies
- Hands-on experience with Azure and/or AWS
- Experience with Docker, Kubernetes, Terraform, and Ansible
- Strong understanding of SQL and NoSQL databases
- Proficiency in Python, Node.js, or React
- Experience designing performant, secure, and resilient SaaS applications
- Strong communication, problem-solving, and leadership skills
- Advanced English proficiency
- Strong frontend development experience using React
- Experience in Energy, Oil & Gas, or industrial sectors
- AI-focused certifications or technical training, including Claude Code Architect or similar
- Experience implementing enterprise-level AI governance and responsible AI practices
- Exposure to large-scale cloud transformation initiatives
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
