Senior Full Stack AI Engineer

Location: Brazil

Department: CSA Billable

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.