Gen AI Developer

Galent; Halifax; Hybrid; CAD 110,000 - 160,000; Full time

Job summary

Galent in Halifax, Nova Scotia, is seeking a senior data/AI engineer to design and deploy enterprise-grade AI systems, data pipelines, and MLOps capabilities across hybrid environments.

You will build scalable batch and streaming pipelines, optimize feature stores, implement DataOps and CI/CD, and collaborate across engineering, research, and product teams to translate business requirements into robust technical solutions.

Qualifications

• Master's degree in Computer Science, Software Engineering, or related field with 5+ years in data/software/ML/AI engineering

Responsibilities

• Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation
• Design and optimize data models, feature stores, and storage patterns for AI/ML workloads
• Implement DataOps and MLOps automation (CI/CD, data validation, model deployment, monitoring, drift detection)
• Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
• Develop and integrate AI services into secure, production-grade environments
• Design and implement AI systems architecture best practices and standards across the organization
• Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications
• Provide infrastructure design, optimization, and monitoring support
• Translate business requirements into technical solutions through cross-functional collaboration
• Ensure code quality, system reliability, scalability, and observability
• Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
• Proficiency in SQL and distributed computing (Spark, distributed systems)
• Deep experience with data modeling and feature engineering across the ML lifecycle
• Hands-on experience building LLM applications, RAG pipelines, and agentic AI frameworks (LangChain/LangGraph preferred)
• Expertise designing distributed systems at enterprise scale
• Strong CI/CD and DevOps knowledge (GitHub/GitHub Actions, Docker, Kubernetes)
• Experience with event streaming platforms (Kafka)
• Demonstrated ability to design and deploy hybrid cloud and on-premise systems (AWS, Azure)
• Excellent collaboration and communication skills across engineering, research, and product teams
• Self-directed problem-solving mindset and ability to navigate enterprise complexity
• Master's degree in Computer Science, Software Engineering, or related field with 5+ years in data/software/ML/AI engineering (preferred)

Skills

Agentic AI

LLM

RAG Pipelines

Education

Master's degree in Computer Science/Software Engineering or related field

Tools

GitHub/GitHub Actions

Docker

Kubernetes

Kafka

Spark

LangChain/LangGraph

AWS

Azure

Job description

Location : Halifax, NS (Hybrid- 4 days onsite)

Top 3 skills required for this role:

• Agentic AI, LLM, RAG Pipelines

Job Description/ Responsibilities:

Big Data: Apache Spark, Hadoop Scala/Java

Responsibilities:

• Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation
• Design and optimize data models, feature stores, and storage patterns for AI/ML workloads
• Implement DataOps and MLOps automation (CI/CD, data validation, model deployment, monitoring, drift detection)
• Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
• Develop and integrate AI services into secure, production-grade environments
• Design and implement AI systems architecture best practices and standards across the organization
• Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications
• Provide infrastructure design, optimization, and monitoring support
• Translate business requirements into technical solutions through cross-functional collaboration
• Ensure code quality, system reliability, scalability, and observability
• Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
• Proficiency in SQL and distributed computing (Spark, distributed systems)
• Deep experience with data modeling and feature engineering across the ML lifecycle
• Hands-on experience building LLM applications, RAG pipelines, and agentic AI frameworks (LangChain/LangGraph preferred)
• Expertise designing distributed systems at enterprise scale
• Strong CI/CD and DevOps knowledge (GitHub/GitHub Actions, Docker, Kubernetes)
• Experience with event streaming platforms (Kafka)
• Demonstrated ability to design and deploy hybrid cloud and on-premise systems (AWS, Azure)
• Excellent collaboration and communication skills across engineering, research, and product teams
• Self-directed problem-solving mindset and ability to navigate enterprise complexity
• Master's degree in Computer Science, Software Engineering, or related field with 5+ years in data/software/ML/AI engineering (preferred)

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf