Senior Full Stack AI Engineer

Job description

**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.**