[Remote] Artificial Intelligence Engineer - AI/ML Engineer (Remote)
Note: The job is a remote job and is open to candidates in USA. TekVizor is an early-stage, high-growth AI infrastructure company seeking two AI Engineers. The role involves owning the architecture, design, and implementation of complex AI systems, including multi-service architectures and agent orchestration.
Responsibilities
- Own the architecture, design, and implementation of full AI 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
- 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, etc
Skills
- 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
- You will own the architecture, design, and implementation of full AI 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
- 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, etc
- 4+ years working professionally as a Machine Learning Engineer or Data Scientist
- 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
- Has built agentic systems or multi-agent setups, LangChain, LangGraph, Strands, ADK, or any orchestration framework
- Work across cloud environments (AWS, Azure, GCP)
Benefits
- Bonus
- Equity
- 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.
Company Overview