موقعیت شغلی ریموت در یک شرکت تولید اپلیکیشن های مبتنی بر هوش مصنوعی در تورنتو.
دوستی از کانادا تماس گرفت و گفت می خوام به نوبه خودم به شرایط اقتصادی مردمم کمک کنم. ما با پاکستانی ها کار می کنیم و من مدیریت را متقاعد کردم که تیم جدید را در ایران بچینیم. و نتیجه اون تماس شد همین پست.
چهار موقعیت شغلی داریم.
موقعیت ها و شرح وظایف و مهارت ها را زیر همین پست می تونید مشاهده کنید.
ممنون میشم برای دیده شدن ابن پست حمایت کنید.
روزمه خودتون را به [email protected] ارسال کنید.
1) MLOps / Infrastructure Engineer – Architecture Team
Requirements
• Build & maintain CI/CD pipelines (cloud + on-prem).
• Orchestrate GPU clusters (Ray, Kubeflow, Kubernetes).
• Architect hybrid infrastructure (cloud, on-prem, edge).
• Implement model lifecycle management (MLflow, Weights & Biases).
• Set up monitoring & observability (Prometheus, Grafana, ELK, Datadog).
• Ensure security & compliance (HIPAA, GDPR, SOC-2).
• Deploy in air-gapped / regulated environments.
• Optimize latency & cost efficiency in GPU workloads.
Tech Stack
• Graph DBs: Neo4j, TigerGraph
• Data Formats: Parquet, Arrow, JSON, CSV; FHIR/HL7; GDSII/CSV
• Cloud & Infra: AWS, GCP, Azure; Docker, Kubernetes
• Security & Compliance: OAuth2, JWT, Vault/KMS; HIPAA, SOC-2
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2) Data Engineer – Backend Team
Requirements
• Build & maintain ETL/ELT pipelines (structured/unstructured/multi-modal).
• Integrate healthcare & semiconductor data flows (FHIR/HL7, Epic APIs).
• Architect & optimize data lakes & warehouses.
• Implement real-time & batch ingestion (Kafka/Pulsar).
• Design RAG + memory pipelines with AI engineers.
• Ensure compliance & security (HIPAA, GDPR, SOC-2).
• Build monitoring & lineage tracking.
Tech Stack
• Languages: Python, SQL (advanced)
• Workflow Orchestration: Airflow, Prefect, Dagster
• Streaming: Kafka, Pulsar, Kinesis
• Warehousing: Snowflake, BigQuery, Redshift, PostgreSQL
• Vector DBs: Pinecone, Weaviate, Milvus
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3) Systems Engineer – Backend Team
Requirements
• Build agent orchestration pipelines (multi-agent workflows).
• Connect LLMs to real data (vector DBs, graph DBs, APIs).
• Deliver working UI (React/Next.js).
• Implement memory systems (short-term, long-term).
• Ensure security & compliance (HIPAA logging, audit trails).
• Work directly with founder & experts to turn TRDs into features.
Tech Stack
• Languages: Python, TypeScript/Node.js
• Frontend: React, Next.js
• LLM Frameworks: LangChain, LlamaIndex
• Vector DBs: Pinecone, Weaviate, Milvus
• Graph DBs: Neo4j or similar
• Infrastructure: Docker, Kubernetes, CI/CD
• Databases: PostgreSQL, MongoDB
• Security/Compliance: OAuth2, JWT, audit logging
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4) Senior AI / Full-Stack Engineer – Architecture Team
Requirements
• Design & deploy agentic AI workflows (planning, reasoning, orchestration).
• Develop backend services & APIs.
• Deliver front-end UIs & dashboards.
• Implement memory & context systems.
• Optimize for performance, privacy & compliance (HIPAA, SOC-2, GDPR).
• Collaborate with product/design teams.
• Contribute to documentation for transparency & reproducibility.
Tech Stack
• Languages: Python, TypeScript/Node.js
• LLM Frameworks: LangChain, LlamaIndex, Haystack
• Backend APIs: FastAPI, Flask, Express, NestJS
• Frontend: React, Next.js
• Cloud Infrastructure: Docker, Kubernetes, Terraform, CI/CD
• Databases: PostgreSQL, MongoDB, Redis
• Security & Compliance: OAuth2, ABAC/ReBAC, HIPAA, SOC-2
