TELECOMMUTE AI Engineer

AI Engineering:

• Integrate AI/ML models and LLM based applications into production systems
• Experience in building end to end Gen AI based applications/solutions
• Collaborate with data scientists to operationalize AI pipelines
• Implement features for model evaluation, monitoring, and feedback loops.

DevOps & CI/CD:

• Maintain automated pipelines for build, test, and deployment.
• Ensure compliance with code quality and security standards.
• Drive end-to-end design, building, and deployment of enhancements using Python, APIs, and Microservices.

Scalability & Performance:

• Design systems for horizontal scaling and fault tolerance.
• Conduct performance tuning and load testing to ensure optimal resource utilization.

Foundational Services:

• Build reusable frameworks and services that support multiple AI platform components.
• Implement secure handling of sensitive data (PHI/PII redaction)

Database & Data Management

• Work extensively with No SQL databases (Mongo DB, Cosmos DB)
• Ensure efficient data ingestion and retrieval for AI-driven applications.

• Must have good communication and interpersonal skills.
• Ability to guide the team and deliver as an Individual Contributor without much supervision., * Programming: Python, JavaScript (React/Angular), Java or Go for backend.
• Backend Expertise: Microservices architecture, RESTful APIs, distributed systems.
• AI/ML Tools: TensorFlow, PyTorch, LangChain, Vertex AI, LLMs
• Agentic AI & Google ADK: Experience designing and implementing production-grade Agentic AI systems using Google ADK, including multi-agent workflows, tool-calling, and Model Control Plane (MCP) Server services (for exposing internal tools/APIs).