AI Engineer

Ethereum Technologies LLC; Toronto; In loco; CAD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

Ethereum Technologies seeks a senior Gen AI engineer to lead the development of scalable AI products and cloud-native solutions. You will architect LLM pipelines, graph/RAG architectures, and agentic systems, leveraging AWS tools and modern frameworks.

You will collaborate with product managers and data scientists in an Agile environment to deliver end-to-end Gen AI solutions. Ideal candidates have 8+ years in engineering, 1-2 years leading AI initiatives, deep knowledge of Gen AI models,

Competenze

• 8+ years total engineering experience with 6+ in roles leading AI initiatives.
• Proficient with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering.

Mansioni

• Lead development of scalable Gen AI products and cloud-native solutions.
• Design architectures for LLM pipelines, MCP, Graph/RAG, and prompt-based apps.
• Implement AWS services (EKS, Lambda, Fargate, Glue, Athena).
• Drive performance through experiments and new Gen AI frameworks.
• Collaborate with PMs, data scientists, and domain experts to align solutions with business needs.
• Own end-to-end delivery and manage timelines in Agile (Scrum/Kanban).
• Ensure governance and DevSecOps compliance.

Conoscenze

Gen AI models

Python programming

AWS cloud

LangChain

Graph/RAG

Prompt engineering

Vector databases

ETL with Airflow

CI/CD / DevSecOps

JIRA & Confluence

Formazione

Bachelor's or Master's in CS/CE/Math

Strumenti

Terraform

Docker

Kubernetes

Apache Airflow

Weaviate

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

The candidate will lead and actively contribute to the development of scalable Gen AI products, architectures, and cloud-native solutions within an Agile environment.

Responsibilities:

• Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
• Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, prompt-based applications, and emerging technologies.
• Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
• Optimize performance of AI products, driving continuous learning and experimentation with cutting‑edge Gen AI methods, frameworks, APIs, and toolchains.
• Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
• Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization s AI roadmap.
• Own end‑to‑end delivery of Gen AI solutions while managing timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
• Monitor operational metrics and incident data to drive continuous improvement and reliability.
• Ensure adherence to governance and DevSecOps protocols.

Experience and Skills:

• 8+ years of total experience, with 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
• Proficiency with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques.
• Experience with Agentic AI, MCP, and Graph/RAG architectures.
• Experience with Gen AI Frameworks such as LangChain, LlamaIndex, and Amazon Bedrock.
• Strong knowledge of AWS cloud services including EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, and Lake Formation.
• Proficiency with Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments.
• ETL orchestration experience using Apache Airflow and DAGs.
• Experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization.
• Advanced Python programming skills (NumPy, Pandas, Matplotlib, Boto3).
• Experience with automated testing frameworks such as Ragas, Playwright, Zephyr, and Selenium.
• Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
• Knowledge of LLM fine‑tuning techniques.
• Experience with BI tools such as QuickSight and Tableau.
• Knowledge of financial markets and enterprise data systems.

Education:

• Bachelor s or Master s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.