Gen AI Developer
- Halifax, NS, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Big Data: Apache Spark, Hadoop Scala/Java
What are the top 3 skills required for this role?
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
Expectations / Skillset Required
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)
UI development expertise with React and JavaScript (a plus)
What are the top 3 skills required for this role?
- Agentic AI, LLM, RAG Pipelines
- MLOps Automation (CI/CD, data validation, model deployment, monitoring, drift detection)
- GitHub/GitHub Actions, Docker, Kubernetes
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
Expectations / Skillset Required
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)
UI development expertise with React and JavaScript (a plus)
More about this job
Responsibilities
Design and build scalable agentic AI systems, LLM-powered applications, and RAG pipelines. Develop and maintain robust data pipelines and MLOps automation for production-grade AI environments.
Requirements
Requires advanced Python and SQL proficiency with deep experience in distributed computing and ML lifecycle management. A Master's degree and 5+ years of experience in data, software, or AI engineering are preferred.
Skills
- Agentic AI
- LLM
- RAG Pipelines
- MLOps
- Python
- SQL
- Apache Spark
- Docker
- Kubernetes
- GitHub Actions
- Kafka
- AWS
- Azure
- LangChain
- LangGraph
- Distributed Systems
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Data & Analytics
- Engineering
- Consulting
Keywords
- Gen AI
- Apache Spark
- Hadoop
- Scala
- Java
- Agentic AI
- LLM
- RAG Pipelines
- MLOps
- CI/CD
- Data Validation
- Model Deployment
- Drift Detection
- GitHub Actions
- Docker
- Kubernetes
- DataOps
- Feature Stores
- LangChain
- LangGraph
- Kafka
- AWS
- Azure
- Hybrid Cloud
- Distributed Systems
- React
- JavaScript
- Software Engineering
- Data Modeling
- Feature Engineering