9 дней назад
Software Engineer - AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer - AI (Python/LLM/RAG): Building production AI experiences and reliable services for conversational agents, knowledge systems, content experiences, and intelligent automation with an accent on LLM integration, retrieval systems, asynchronous APIs, and event-driven workflows. Focus on evaluating and improving model quality, reliability, safety, latency, and cost across production AI systems.
Location: Remote from Quebec, Canada
Company
is a web technology company serving millions of customers through brands including Bluehost, HostGator, Domain.com, Network Solutions, Register.com, and Web.com.
What you will do
- Build production AI experiences for conversational agents, business and website creation, knowledge and FAQ systems, content experiences, domain discovery, and intelligent automation.
- Translate product requirements into practical solutions using LLMs, retrieval-augmented generation, tool calling, agents, deterministic workflows, and traditional software.
- Develop production AI services with Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools.
- Implement reliable agents and event-driven workflows with internal APIs, MCP tools, business systems, and knowledge sources.
- Build and improve RAG pipelines covering ingestion, chunking, embeddings, retrieval, reranking, metadata filtering, context construction, and citations.
- Measure and improve quality, latency, reliability, safety, and cost through evaluations, observability, debugging, and production support.
Requirements
- At least 3 years of professional experience building production backend, distributed, or cloud-based systems.
- At least 1 year of hands-on experience with Applied AI, LLM, RAG, NLP, or agent-based applications.
- Strong Python skills, including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development.
- Strong backend and distributed-systems fundamentals, including REST APIs, concurrency, background processing, caching, reliability, and production debugging.
- Hands-on experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent messaging architectures, plus PostgreSQL and data modeling.
- Experience integrating LLM APIs, building tool-calling or agent workflows, and contributing to RAG or knowledge-grounded systems.
Nice to have
- Experience with Semantic Kernel, Microsoft Agent Framework, LangGraph, PydanticAI, MCP, LiteLLM, or similar agent technologies.
- Experience with Docker, CI/CD, automated testing, logging, observability, distributed tracing, OpenTelemetry, or Langfuse.
- Experience with Azure AI Search, pgvector, Chroma, Kubernetes, Azure, OCI, open-weight model inference, or AI safety controls.
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