AI Engineer

Job Title: AI Engineer Location: Plano,TX/ Dallas,TX/Austin, TX (Hybrid) Duration: Long Term
About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients.
Job Description:
Responsibilities
Collaborate with Teams: Engage in cross-functional teams to design, deploy, and manage microservice architectures for analytics, data pipelines, machine learning models, and essential business applications.
Requirements Gathering: Interpret customer and business needs to construct resilient, cloud-native data infrastructures that cater to the end-users' demands, leveraging expertise in data engineering & API development.
Stakeholder Engagement: Maintain active engagement with client representatives and internal team members to adhere to project timelines, ensuring transparent and effective communication throughout the project lifecycles, and present demos & deliverables.
Technical Documentation: Articulate and document technical designs and solutions in a clear and concise format, ensuring comprehensibility for all stakeholders.
Interdisciplinary Collaboration: Work in close partnership with solution architects, senior data engineers, data analysts, and cloud engineering teams to align solutions with the overarching architectural vision and business objectives.
Required qualifications to be successful in this role
How You'll Make an Impact & What You'll Bring
Must have at least 3 years of working experience with the below skills
Develops and optimizes AI applications for production, ensuring seamless integration with enterprise systems and front-end applications.
Builds scalable API layers and microservices using FastAPI, Flask, Docker, and Kubernetes to serve AI models in real-world environments.
Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI
Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization
Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows
Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.