Senior Full stack AI engineer

About the role

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