Senior AI Engineer

Evertz Microsystems Limited; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Evertz Microsystems Limited is seeking a Senior AI Engineer to build and run production AI systems across its portfolio. This hands-on role requires owning solutions end-to-end—from problem framing with domain experts to deployment and ongoing support.

You will work on agents, multimodal apps, LLM workflows, RAG pipelines, and integrate AI with engineering and manufacturing tools. The ideal candidate has 5+ years of software engineering experience, strong Python/backend skills, hands-on LLM

Qualifications

• Minimum 5+ years of software engineering experience delivering production LLM applications.
• Strong Python/backend skills including API design, testing, debugging and maintainable software.
• Hands-on experience with LLM APIs, prompt design, and tool-enabled agents.
• Practical RAG experience: embeddings, vector and hybrid search, reranking, and evaluating retrieval quality.
• Experience deploying cloud apps on Azure with containers, CI/CD and IaC.

Responsibilities

• Own AI applications and end-to-end services: prototyping, integration, deployment, monitoring and support.
• Build agents, multimodal apps, LLM workflows, and RAG pipelines.
• Transform datasheets and logs into grounded AI capabilities with parsing pipelines.
• Integrate AI with engineering tools, manufacturing/test systems, and business apps via APIs.
• Develop and deploy ML models and monitor them alongside LLM systems.
• Create repeatable evaluations to improve accuracy, latency, and cost.
• Develop and operate Python services on Azure with PostgreSQL, Terraform, containers, and observability.

Skills

Python

Backend design

LLM APIs

Prompt design

Tool-enabled agents

RAG pipelines

ML fundamentals

Azure deployments

SQL (PostgreSQL)

Communication

Tools

LangChain

LangGraph

MCP server

vLLM

Ollama

LangSmith

Langfuse

Terraform

CI/CD

Job description

Evertz builds the hardware and software behind live television, film production, and streaming worldwide. Our AI team applies generative AI and machine learning across Evertz, from hardware design validation, manufacturing test and quality-control automation, and audio and video processing to AI agents and knowledge retrieval that teams across the company use every day.

We are hiring a Senior AI Engineer to build and run production AI systems across this portfolio and help set the team's technical direction. This is a hands‑on role: you own solutions end to end, from problem framing with domain experts through deployment and support.

What you will do:

• Own AI applications and reusable services end-to-end: prototyping, integration, production deployment, monitoring, and support.
• Build agents, multimodal applications, LLM workflows, and RAG pipelines using prompt design, tool calling, structured outputs, embeddings, and hybrid search.
• Turn messy inputs (datasheets, schematics, test logs, media, business data) into grounded AI capabilities, including the ingestion and parsing pipelines behind them.
• Integrate AI with engineering tools, manufacturing and test systems, and business applications via APIs and MCP servers, with proper validation, security, and human oversight.
• Apply classical ML where it fits (classification, anomaly detection, computer vision, audio processing), often on noisy or limited datasets, and deploy and monitor those models alongside LLM systems.
• Build repeatable evaluations and use them to improve accuracy, reliability, latency, and cost.
• Develop and operate Python services on Azure with PostgreSQL, Terraform, containers, CI/CD, and observability.
• Shape technical direction with the engineering manager: propose architectures, set reusable patterns, and evaluate new models and tooling.
• Collaborate with stakeholders to clarify requirements and priorities; mentor engineers through code and design reviews.

If you meet most of these, we encourage you to apply.

What you will bring:

• 5+ years of software engineering experience, including delivering and supporting production LLM applications beyond proof-of-concept.
• Strong Python and backend skills: API design, testing, debugging, and maintainable software.
• Hands-on experience with LLM APIs, prompt design, and tool-enabled agents (LangChain, LangGraph, or equivalents).
• Practical RAG experience: embeddings, vector and hybrid search, reranking, and measuring retrieval and answer quality.
• Solid ML fundamentals: data processing, feature engineering, model training and evaluation, and shipping non-LLM models to production using PyTorch, scikit-learn, NumPy, and pandas.
• Experience deploying cloud applications, preferably on Azure, with containers, CI/CD, infrastructure as code, and monitoring.
• Strong SQL skills, preferably PostgreSQL, and a working understanding of authentication, access control, and secure data handling.
• Clear communication of technical trade-offs to technical and non-technical audiences; able to contribute independently and mentor others.

Nice to have:

• AI or ML applied to manufacturing, hardware design, automated inspection or test, or audio/video processing.
• Multimodal models, computer vision, anomaly detection, or audio and signal processing.
• MCP server development, LLM observability tools (LangSmith, Langfuse), or model serving (vLLM, Ollama).
• Fine-tuning open-weight models; helping non-technical teams adopt AI tools.
• Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent experience.

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