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Senior AI Developer

Tekgence Inc

Dartmouth · On-site Contract Senior 1mo ago

About the role

About the Role

We are seeking a highly skilled Senior AI Developer to join our team on a contract basis in Toronto. This role focuses on designing and delivering advanced AI-driven solutions, leveraging modern Machine Learning (ML) techniques and Large Language Models (LLMs). You will play a key role in building scalable, production-grade systems that integrate AI capabilities into enterprise applications.

Key Responsibilities

  • Design, develop, and deploy AI/ML models, including LLM-based applications.
  • Build and maintain scalable backend systems using Java and Spring Framework.
  • Integrate AI/ML solutions into enterprise-grade applications and workflows.
  • Fine-tune and optimize Large Language Models for domain-specific use cases.
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
  • Develop APIs and microservices to expose AI capabilities.
  • Ensure performance, scalability, and reliability of AI systems in production.
  • Stay up to date with advancements in AI, ML, and LLM ecosystems.

Required Skills & Experience

  • 7+ years of software development experience, with a strong focus on AI/ML.
  • Proven experience working with Large Language Models (e.g., GPT, open-source LLMs).
  • Strong programming skills in Java .
  • Extensive experience with Spring Framework (Spring Boot, Spring MVC, Microservices).
  • Solid understanding of Machine Learning concepts and frameworks (e.g., TensorFlow, PyTorch, or similar).
  • Experience with RESTful APIs, distributed systems, and cloud platforms (AWS, Azure, or GCP).
  • Familiarity with prompt engineering, embeddings, and vector databases.
  • Experience deploying AI models into production environments.

Preferred Qualifications

  • Experience with generative AI applications and NLP.
  • Knowledge of MLOps practices and tools.
  • Experience with containerization tools such as Docker and Kubernetes.
  • Background in data engineering or big data technologies.

Skills

AWSAzureDockerGCPJavaKubernetesLarge Language ModelsMachine LearningMicroservicesMLOpsNLPPyTorchRESTful APIsSpring BootSpring FrameworkSpring MVCTensorFlowVector Databases

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