Seez

Seez provides data-driven solutions for car dealerships, revolutionizing the car buying experience with personalized assistance, image recognition technology, and actionable insights for dealers and manufacturers.

Automotive

Consumer Discretionary

11-50 (45)

Founded 2016

$14M raised

2 open positions

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AI Backend Engineer

3 hours, 31 minutes ago

Argentina, United States, Canada

Full-time

Mid Level

AI Engineer

Software Development

AWS CI/CD Docker FastAPI Git GraphQL LLM .NET Node.js PostgreSQL Python Redis REST API

Apply Now

Seez

Automotive

11-50

Founded 2016

$14M raised

View All Jobs 2

Description

Design, build, and maintain scalable backend services using Python, Node, and .NET.
Develop production-ready AI applications powered by large language models.
Build and optimize RAG pipelines and vector search solutions.
Integrate foundation models such as OpenAI, Anthropic, and Gemini into customer-facing products.
Design, build, and maintain REST APIs that support AI services.
Work with structured and unstructured data to improve AI performance and user experience.
Optimize applications for performance, scalability, and reliability.
Write clean, maintainable, and well-tested code.
Collaborate with Product, Design, and Engineering to deliver features from concept through production.
Monitor, evaluate, and continuously improve AI system performance.

Requirements

4+ years of experience in software engineering.
Strong commercial experience building backend applications with Python and Node.
Experience developing and deploying machine learning or LLM-powered applications.
Experience building REST APIs, GraphQL, and backend services.
Experience with FastAPI or similar Python web frameworks.
Experience working with SQL databases such as PostgreSQL.
Familiarity with Docker and cloud platforms, with AWS preferred.
Experience using Git and modern software development practices.
Experience with LangChain or similar AI orchestration frameworks (great to have).
Experience with vector databases such as Pinecone, pgvector, Weaviate, or Qdrant (great to have).
Experience building RAG applications (great to have).
Knowledge of prompt engineering and LLM evaluation techniques (great to have).
Experience deploying AI applications into production environments (great to have).
Familiarity with CI/CD pipelines and infrastructure as code (great to have).
Strong problem-solving skills with a pragmatic approach to shipping software.
Strong written and verbal English communication skills.

Benefits

25 days of paid annual leave plus public holidays.
Flexible remote work options.
Open access to the CEO and leadership team.
One-on-one wellness coaching sessions.
Annual wellness budget.
Annual learning budget.

Interested in this position?

Apply directly on the company website

Apply Now

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