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 1d 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 11d ago
The date the source published, not the day we noticed it (2026-09-03). Last seen at its source 1h ago.
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?
Brazil
The description agrees: it names Brazil.
What the ad says
…Location: Brazil…
Pay not stated
Similar roles pay $95.9k–157.1k/yr
Middle 50% of 8 listings that do state pay — Engineering · Senior · Brazil · USD/year. 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 11d ago · last seen 1h ago
The listing
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.