V
AI Engineer - AI Foundations and Platform Enablement
Vytwo
- Location
- Onsite (Dallas, TX)
- Compensation
- $55 - $60/hr
- Employment
- Full-time
- Level
- Senior Level
Posted 3 days ago
About the Role
Vytwo Technologies is seeking an AI Engineer to design and build foundational platform layers for secure, scalable, and reusable AI use cases. The role focuses on developing production-ready patterns for orchestration, security, caching, and telemetry to support enterprise AI applications.
Skills
Java
Python
TypeScript
Go
Kubernetes
LLM applications
AI agents
RAG
Distributed systems
API development
Authentication
Authorization
Secrets management
Observability
Telemetry
Cloud deployments
Benefits
- Health insurance
Full job details
Benefits:
- Health insurance
AI Engineer - AI Foundations and Platform Enablement –
Location: Dallas, TX and Austin, TX
Hire type: C2H and FTE
Salary: $60/hr / $120K on FTE
Hire type: C2H and FTE
Salary: $60/hr / $120K on FTE
Role Summary
Design and build the foundational platform layers needed to deliver secure, scalable, reusable AI use cases. The role will develop proofs of concept and production-ready patterns across MCP, orchestration, security, caching, and telemetry.
Key Responsibilities
- Build POCs for MCP gateways and retail-domain MCP servers that securely expose enterprise tools and data.
- Design an orchestration layer for coordinating models, agents, tools, workflows, approvals, retries, and failures.
- Establish caching patterns that improve latency and cost while protecting data freshness and privacy.
- Implement agentic authentication and authorization, including identity propagation, delegated access, least privilege, and auditability.
- Create telemetry for AI workflows, including traces, metrics, logs, token usage, tool calls, latency, errors, and policy decisions.
- Deliver reusable APIs, reference implementations, documentation, and standards for application teams.
- Partner with architecture, security, product, and engineering teams to move POCs toward production.
Must Have
- Build POCs for MCP gateways and retail-domain MCP servers that securely expose enterprise tools and data.
- Design an orchestration layer for coordinating models, agents, tools, workflows, approvals, retries, and failures.
- Establish caching patterns that improve latency and cost while protecting data freshness and privacy.
- Implement agentic authentication and authorization, including identity propagation, delegated access, least privilege, and auditability.
- Create telemetry for AI workflows, including traces, metrics, logs, token usage, tool calls, latency, errors, and policy decisions.
- Deliver reusable APIs, reference implementations, documentation, and standards for application teams.
- Partner with architecture, security, product, and engineering teams to move POCs toward production.
Must Have
- 5+ years of software engineering experience building distributed services or platforms.
- Hands-on experience with LLM applications, AI agents, RAG, or tool-calling workflows.
- Strong programming skills in Java, Python, TypeScript, or Go.
- Experience with APIs, service integration, asynchronous processing, and distributed systems.
- Practical knowledge of authentication, authorization, secrets management, and secure service communication.
- Experience with observability, including structured logging, metrics, tracing, and operational dashboards.
- Experience with cloud and containerized deployments, such as Kubernetes.
- Strong communication and collaboration skills, with the ability to turn ambiguous ideas into working POCs.
Nice to Have
- Hands-on experience with LLM applications, AI agents, RAG, or tool-calling workflows.
- Strong programming skills in Java, Python, TypeScript, or Go.
- Experience with APIs, service integration, asynchronous processing, and distributed systems.
- Practical knowledge of authentication, authorization, secrets management, and secure service communication.
- Experience with observability, including structured logging, metrics, tracing, and operational dashboards.
- Experience with cloud and containerized deployments, such as Kubernetes.
- Strong communication and collaboration skills, with the ability to turn ambiguous ideas into working POCs.
Nice to Have
- Experience with Model Context Protocol, MCP gateways, MCP servers, or similar agent integration frameworks.
- Experience building orchestration or workflow platforms with durable execution, queues, event streams, or human-in-the-loop controls.
- Experience building orchestration or workflow platforms with durable execution, queues, event streams, or human-in-the-loop controls.