Senior Full Stack AI Engineer

Job Title: Senior Full Stack AI Engineer (with Solution Architecture experience)

Key Skills: Architecture, AI/ML, Data, Cloud & Infrastructure, DevOps, UI

Location: Brazil

Mode: Remote

At Coforge we are looking for a hands-on Senior Full stack AI engineer with Solution Architect experience to design and guide the build of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.

Key Responsibilities

GenAI & Autonomous Agents

Build Autonomous Agents: Deploy stateful agents (using LangGraph) that plan tasks, query Knowledge Graphs, and execute tools without hallucinating.

Advanced RAG: Build Graph-RAG pipelines that combine semantic search with structured knowledge traversal for grounded answers.

Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.

Collaborate with domain experts to align agent behavior with technical expectations and constraints.

Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.

Continuously optimize prompting, agent orchestration, and performance under real-world conditions.

High-Performance APIs: Build low-latency Python services (FastAPI) to serve live data to frontend and AI models.

Solution Architecture: Design and implement performant, resilient, and scalable SaaS applications following microservice architecture in production environments.

Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).

Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.

Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (SQL Server, PostgreSQL, MongoDB).

Cross-Functional Influence: Partner with product management, sales, customer, and engineering teams to align technical solutions with business needs.

Rapid Delivery: Adopt a “deliver fast” mentality without compromising code quality, testing, or API design standards.

Required Skills & Qualifications

BS in Computer Science or a related STEM field.

Experience in software development of complex applications.

Proven track record designing and implementing performant, resilient, and scalable SaaS applications following microservice architecture in real-world scenarios.

Strong experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).

Data modeling and database design experience (SQL Server, PostgreSQL, MongoDB).

Experience with data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).

Experience of AI/ML technologies, including agentic AI frameworks (LangChain, AutoGen, CrewAI).

Fluency in one or more of: Node.js, Python

Experience with DevOps and build pipeline tooling (e.g., GitLab Runner).

Experience writing unit tests and maintaining high code quality.

Hands-on experience influencing cross-functional product management, sales, customer, and engineering teams.

Advanced English communication skills.

Preferred Skills:

UI experience such as React.

Prior experience building technical or real-time acquisition software in the Oil & Gas industry.

Azure AI Engineer, Azure Data Engineer, or Azure Architect certification.

Posted On: 2-08-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.