Why This Role Stands Out
This AI Engineer role at Factspan Inc offers a fantastic opportunity to build cutting-edge Gen AI applications and gain expertise in productionizing AI/ML models within a reputable technology company. If you thrive on solving complex technical challenges, designing scalable systems, and collaborating in a dynamic environment, this fully remote position is perfect for you to advance your career.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
14 hours ago
MicroservicesSQLAngularJavaJavaScriptLLMPyTorchPythonReactTensorFlow
Job Description
Job Title: AI Engineer Consultant
Type: Fulltime
Location : Complete Remote
Experience: 8+Yrs
Job Description
Key Responsibilities:
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.
Professional Qualifications:
- Must have good communication and interpersonal skills.
- Ability to guide the team and deliver as an Individual Contributor without much supervision.
Required Skills:
- 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).
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