اسنپ باکس | Snappbox

تاسیس در ۱۳۹۶ کامپیوتر، فناوری اطلاعات و اینترنت ۲۰۱ تا ۵۰۰ نفر snapp-box.com

استخدام AI Platform Engineer

دسته‌بندی شغلی

وب،‌ برنامه‌نویسی و نرم‌افزار
موقعیت مکانی

تهران ، تهران
نوع همکاری

تمام وقت
حداقل سابقه کار

بیش از شش سال
حقوق

توافقی

شرح موقعیت شغلی

We are looking for an AI Engineer to help shape and build the next generation of AI-powered engineering and operational capabilities across the organization. This role focuses on integrating modern AI technologies into internal workflows, engineering processes, operational visibility, knowledge management, and product capabilities.
The ideal candidate is hands-on, highly technical, and passionate about building practical AI systems — especially around LLMs, RAG architectures, vector databases, observability integrations, and AI-assisted automation.
This position will play a foundational role in transforming the company into an AI-oriented engineering organization.

Responsibilities

AI Platform & Infrastructure

Design and implement internal AI infrastructure and services
Build and maintain Retrieval-Augmented Generation (RAG) systems
Design vector database architecture for organizational knowledge and context persistence
Integrate AI systems with internal services, APIs, documentation, logs, and operational tools
Create scalable pipelines for ingestion, embedding, indexing, and retrieval of company knowledge

Knowledge & Context Engineering

Build systems that transform company knowledge into searchable AI context
Integrate technical documentation, runbooks, incidents, tickets, APIs, Swagger/OpenAPI specs, architecture docs, and operational procedures into vectorized knowledge layers
Design metadata, chunking, embedding, and retrieval strategies
Improve relevance, context quality, and response accuracy of AI systems

AI-Powered Engineering Initiatives

Develop AI assistants and copilots for engineering teams
Build AI workflows for:Incident analysis & RCA
Operational monitoring
Deployment intelligence
Technical support
Internal documentation
Developer productivity
Explore AI-assisted software engineering workflows and automation opportunities

Observability & Operations Integration

Integrate AI with monitoring and observability platforms such as:Prometheus
VictoriaMetrics
Elasticsearch
OpenTelemetry
Grafana
Logging and tracing systems
Build intelligent operational insights and anomaly detection systems
Help establish AI-driven NOC and incident management capabilities

Research & Innovation

Continuously evaluate emerging AI technologies and frameworks
Prototype and validate new AI-driven approaches
Contribute to long-term AI architecture and strategy
Help define AI governance, security, and operational standards

Technical Requirements
Strong Experience With

Python development
APIs and backend engineering
LLMs and AI application development
Vector databases such as:Qdrant
Pinecone
Weaviate
Milvus
RAG architectures and semantic search
Embedding models and retrieval pipelines
Docker and Kubernetes
Git and CI/CD workflows

Familiarity With

LangChain / LlamaIndex / DSPy
OpenAI APIs or equivalent AI providers
Prompt engineering
AI agents and tool calling
Elasticsearch and observability stacks
Kafka or event-driven systems
Distributed systems architecture
Cloud platforms (Azure, AWS, GCP)

Preferred Qualifications

Experience building production AI systems
Experience integrating AI with enterprise systems
Understanding of observability and operational tooling
Strong system design and architecture skills
Familiarity with software engineering workflows and developer tooling
Ability to work independently and prototype quickly

What Success Looks Like

Internal AI assistants become part of daily engineering workflows
Company knowledge becomes AI-searchable and context-aware
Faster incident investigation and operational visibility
Improved developer productivity through AI tooling
Establishment of a scalable AI platform foundation for future initiatives

Mindset We’re Looking For

Builder mentality
Strong curiosity and experimentation mindset
Pragmatic problem solving
Passion for emerging technologies
Ownership and autonomy
Ability to bridge infrastructure, engineering, and AI domains

Nice-to-Have Experience

MCP (Model Context Protocol)
AI memory/context systems
Fine-tuning or model evaluation
Knowledge graph systems
AI security and governance
Multi-agent orchestration systems
AI-assisted DevOps/SRE workflows

Benefits

Transportation discount and voucher
Organizational food discount
Learning budget
Team Building Budget
Wellness Budget
Comprehensive health, dental, and vision insurance

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معرفی شرکت

اسنپ‌باکس جدیدترین سرویس اپلیکیشن اسنپ (بزرگترین سامانه حمل و نقل هوشمند کشور) تمام شرکت‌ها با هر نوع فعالیت تجاری را به بزرگترین مجموعه از پیک‌های موتوری در کشور متصل می‌سازد.
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