Senior Full stack AI engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 18h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 8d ago
The date the source published, not the day we noticed it (2026-09-23). Last seen at its source just now.
We have tracked this listing since 23 Sep 2026 (8 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
LATAM
The description agrees: it names LATAM.
What the ad says
…Location: LATAM Mode: Remote At Coforge , we are hiring a Senior Full…
Pay not stated
Similar roles pay $7,250/mo
Middle 50% of 23 listings that do state pay — Engineering · Senior · LATAM · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 8d ago · last seen just now
The listing
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.