About The Position

We are seeking a skilled Generative AI (GenAI) Developer/Engineer to design, build, and implement AI-driven solutions across enterprise applications. This role focuses on developing advanced generative AI capabilities—such as LLM integrations, automation pipelines, prompt engineering, and intelligent workflows—to enhance productivity, decision-making, and customer experiences. The ideal candidate has strong engineering fundamentals, hands-on experience with modern AI models, and the ability to translate business needs into scalable AI solutions.

Requirements

  • Hands‑on experience with LLMs, Generative AI frameworks, or similar ML/AI technologies.
  • Proficiency in Python, API development, and backend engineering.
  • Experience with Vector databases (Pinecone, FAISS, Chroma, Elasticsearch).
  • Knowledge of RAG, embeddings, fine‑tuning, and prompt optimization techniques.
  • Familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Experience deploying scalable AI solutions on AWS/Azure/GCP.
  • Strong understanding of data pipelines, model lifecycle, and MLOps.

Responsibilities

  • Design, develop, and deploy Generative AI solutions, including LLM-based applications, agents, and automation workflows.
  • Build and maintain APIs, microservices, and backend components for integrating AI into production systems.
  • Perform prompt engineering, fine-tuning, RAG pipelines, vector databases, and model optimization.
  • Collaborate with data engineering teams to prepare, process, and manage training datasets.
  • Implement secure, scalable, and high‑performance architectures for AI workloads on cloud platforms (AWS/Azure/GCP).
  • Monitor AI model performance, bias, drift, and reliability; implement continuous improvements.
  • Ensure compliance with organizational security, governance, and responsible AI standards.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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