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# TELECOMMUTE AI Engineer

- **Company:** Factspan Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Quality, Databases, Continuous Integration, DevOps, Distributed Systems, Fault Tolerance, Python (Programming Language), Load Testing, Machine Learning, MongoDB, NoSQL, Performance Tuning, Tensorflow, User-Centered Design, Data Ingestion, Pytorch, ReactJS, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Model Validation, Backend, AI Platforms, AngularJS, Cosmos DB, Data Management, Machine Learning Operations, Virtual Agents, Restful APIs, Microservices
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/c459acec-b875-4da1-a342-46ffc5e04cda

## About the Role

* 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).

## Description

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.


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