AI Development Platform Engineer

4 weeks ago

Montreal, Canada Compunnel, Inc. Full time

We are seeking a skilled and innovative AI Development Platform Engineer to join our advanced technology team.

In this role, you will drive the design, development, and deployment of scalable, secure, and high-performing AI/ML platforms—focusing especially on Generative AI.

You will play a critical role in building tools and services that enable teams to leverage large language models (LLMs), vector databases, container orchestration, and cloud-native capabilities.

Key Responsibilities:

- Develop reusable tooling and self-service platforms for deploying enterprise AI solutions.

- Build common frameworks to support scalable deployment of GenAI use cases using pre-trained and fine-tuned models.

- Collaborate across development teams to enhance platform services, developer experience, and AI readiness.

- Utilize Kubernetes/OpenShift for building and orchestrating containerized workloads.

- Implement GitOps-based deployment strategies with tools like Helm, Kustomize, and JFrog Artifactory.

- Integrate with vector databases for embeddings and retrieval-augmented generation (RAG).

- Lead platform-level decisions including service auth, state management, observability, and reliability.

- Drive adoption of AI agent frameworks (Langchain, LangGraph) and orchestration techniques.

- Maintain observability across systems using OpenTelemetry tools (Grafana, Loki, Prometheus, Cortex).

- Participate actively in Agile/Scrum ceremonies, helping foster a DevOps-first, collaborative culture.

Required Qualifications:

- 5+ years of experience in software engineering with strong application development expertise.

- Proficient in Python (Flask/FastAPI) or equivalent languages.

- Strong experience with RESTful service design, API Gateways, and scalable microservice architecture.

- Expertise in Kubernetes (preferably OpenShift), container packaging, and deployment automation.

- Hands‑on experience with DevOps & GitOps practices (CI/CD pipelines, Jenkins, ArgoCD, etc.).

- Familiar with data platforms: SQL/NoSQL databases, Kafka, Redis.

- Proficient in OAuth2.0, security standards, and secure software development lifecycle.

- Experience in multiprocessing, multithreading, async I/O, and performance tuning.

- Understanding of Machine Learning/Deep Learning, with knowledge of frameworks like TensorFlow or PyTorch.

- Knowledge of cloud‑native design, observability practices, and site reliability engineering principles.

- Strong written and verbal communication with a collaborative, mentoring approach.

Preferred Qualifications:

- Hands‑on experience with Generative AI, LLMs (GPT, LLaMA, HuggingFace), and model fine‑tuning.

- Experience building AI agents, implementing Agentic Orchestration and Multi‑Agent Workflows.

- Familiar with frameworks like Langchain, LangGraph, and modern vector store technologies.

- Understanding of ModelOps/LLMOps/MLOps pipelines.

- Experience deploying apps in public and private cloud environments with Blue/Green or Canary strategies.

- Proficient in managing stateful and stateless architectures and event‑driven systems.

Educational Requirements:

Bachelor's or Master’s degree in Computer Science, AI/ML, or related field, or equivalent professional experience.

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