TekVizor

Sr. AI Engineer

 

🌍 U.S. Citizenship, _Must be a_ _US Citizen_

🕒 Full-Time - This role is a remote full-time position within the United States.

✈️This role may require up to 10-20% travel, including periodic travel to our offices for team collaboration, planning activities, and in-person meetings."

 

About the Role

We are hiring two AI/ML Engineers for an early-stage, high-growth AI infrastructure company. Our team is building an enterprise-grade platform and we need highly curious, hard-working self-starters.

* You will own the design and delivery of complex, multi-service AI architectures involving agent orchestration, secure workflows and real-world operational constraints.

 

What You Will Do

* Own the architecture, design, and implementation of full AI/ML systems, including: Multi-service, distributed system architecture, workflow and agent orchestration.
* Proven experience designing and deploying complex agentic systems using LLMs.
* Hands-on design with multi-agent orchestration, routing, and tool orchestration.
* Building products and harness around AI models, harness engineering. Product Engineering.
* Your work goes far beyond prompts or app-level features. You will architect platforms and sustainable AI infrastructure.
* You will build real, production agents—not prototypes relying solely on framework abstractions.
* End-to-End AI Infrastructure with Python, AWS, Typescript. MCP servers to connect to agentic services with response API, Pydantic outputs, tool calling, guardrails, LLM validation framework, etc..

 

Desired Qualifications

* 4+ years working professionally as a Machine Learning Engineer, Data Scientist or Software Engineer.
* 1-2+ years building and deploying Agentic, ML / LLM-powered systems in production environments.
* Degree in Computer Science, Computer Engineering, Data Science or similar.
* Experience developing, deploying and productionizing supervised and unsupervised machine learning models.
* Proficient with: Python, Claude, OpenAI, MCP, Agentic Workflows, tool calling, Evaluation frameworks, cache management, knowledge graphs, agentic harness, eval harness, model validation framework, LLM.
* 📌Has built agentic systems or multi-agent setups, LangChain, LangGraph, Strands, ADK, or any orchestration framework.
* Work across cloud environments (AWS, Azure, GCP)

 

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Machine Learning

Python

Amazon

Infrastructure

Software Development

Security software

Data Science

Data

TypeScript

Wireframing/prototyping

Cloud

Azure

Team Building

System security

OpenAI

Workflows

Tooling

Reporting Frameworks

Cache

Knowledge graphs

Langchain

Orchestration

Artificial Intelligence Engineer - AI/ML Engineer (Remote)