Senior GenAI Engineer

Virtusalinkedin.com

Oct 10, 2026, 8:04 AM2w ago

Full-timeColombo, Western ProvinceAI engineeringSenior (2+ yrs)

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About the role

The Senior GenAI Engineer role focuses on designing and building production systems that integrate modern AI/ML tooling, particularly agentic AI workflows and Model Context Protocol Servers. The position emphasizes strong core engineering skills, architectural judgment, and the ability to integrate AI agents into real-world systems. Key responsibilities include owning technical direction for a workstream or service area, driving adoption of agentic AI/MCP patterns, and partnering with product and architecture stakeholders on tradeoffs. The role is application/systems engineering oriented, not research-focused, and touches on AI tooling within the context of robust software engineering.

Must have

Python strong production grade proficiency
Databases solid relational SQL fundamentals schema design query optimization data modeling
Cloud platform strong hands on experience with at least one of Google Cloud Platform or AWS
4 years of professional software engineering experience
Design Architecture Thinking
Strong grounding in modular design clear separation of concerns well-bounded components/services low coupling high cohesion
Ability to design systems that scale horizontally statelessness where it matters partitioning/sharding strategy load distribution avoiding single points of contention
Strong grasp of RESTful API design resource modeling versioning pagination idempotency for retries proper status codes/error contracts
Practical experience with WebSocket-based real-time communication connection lifecycle management, reconnection/backoff strategy, heartbeat/keep-alive handling, and graceful degradation when a socket drops
Understands tradeoffs between REST, WebSockets, and event-driven/streaming integration patterns, and picks the right one for the use case
Java working knowledge; candidates comfortable in both Python and Java are ideal
Healthcare domain experience prior work on healthcare, health-tech, or health-data platforms is a strong plus
ML/AI exposure enough to reason about model outputs, confidence, and integration patterns

Nice to have

Deep AI/ML research background not required; this is an application/systems engineering role that touches AI tooling, not a research role
Strong in Python + SQL/databases as a baseline
Proven in one major cloud
Comfortable or curious about Java

Technologies

Agentic AI
AWS
Data Modeling
Event-Driven Architecture
GCP
Generative AI
Java
Machine Learning
MCP
Python
REST
SQL
WebSockets