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Gen AI Developer
- Halifax, NS, Canada
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- Contract
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- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Role : Gen AI Developer
Location : Halifax, NS (Hybrid- 4 days onsite)
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
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
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)
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
More about this job
Responsibilities
Design and build scalable agentic AI systems and LLM-powered applications using RAG pipelines. Implement MLOps automation and maintain high-performance data pipelines for AI/ML workloads.
Requirements
Requires advanced Python proficiency and deep experience with distributed computing and LLM frameworks. A Master's degree in Computer Science or a related field with over 5 years of engineering experience is preferred.
Skills
- Agentic AI
- LLM
- RAG Pipelines
- MLOps
- Python
- SQL
- Apache Spark
- Docker
- Kubernetes
- GitHub Actions
- LangChain
- LangGraph
- Kafka
- AWS
- Azure
- Distributed Systems
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Science & Research
Keywords
- Gen AI
- Agentic AI
- LLM
- RAG
- MLOps
- CI/CD
- Data Validation
- Model Deployment
- Drift Detection
- GitHub Actions
- Docker
- Kubernetes
- Apache Spark
- Hadoop
- Scala
- Java
- DataOps
- LangChain
- LangGraph
- Kafka
- AWS
- Azure
- Python
- SQL
- Distributed Systems
- Feature Engineering
- React
- JavaScript
- Hybrid Cloud
- Big Data