Altera Jobs
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Base Salary:
$82.9k - $124.3k
Base Salary:
$133.2k - $212.7k
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CA$95k - CA$100k
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CA$95k - CA$100k
Base Salary:
$209.2k - $341.3k
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CA$83.5k - CA$133.4k
Base Salary:
CA$95k - CA$100k
Base Salary:
$133.2k - $212.7k
Base Salary:
CA$95k - CA$100k
Base Salary:
$100k - $110k
Base Salary:
$149.1k - $215.9k
Base Salary:
$118.9k - $172.2k
Base Salary:
$149.1k - $215.9k
Base Salary:
$187k - $270.7k
Base Salary:
$149.1k - $215.9k
Base Salary:
$133.2k - $192.8k
Base Salary:
$149.1k - $215.9k
Base Salary:
$231.5k - $341.1k
Base Salary:
$127.4k - $184.4k
Base Salary:
$231.5k - $340k
This role focuses on building next-generation AI-native features centered on
RAG
,
LLMs
, and
AI Agents
.
As part of a global team, you will move beyond simple model implementation to deeply integrate AI with UI/UX and complex business workflows, ensuring a high-quality, reliable user experience
.
End-to-End Ownership:
Own the design, development, and operation of AI features, ensuring they are deeply integrated into business workflows to deliver usable AI experiences
.
Technical Leadership:
Lead decision-making regarding model selection, inference architecture, RAG design, and agent workflows based on specific use cases, balancing quality with speed
.
Agentic Workflows:
Design and implement highly reliable agent-based LLM workflows and build the necessary execution infrastructure by integrating external services and internal APIs
.
Operational Frameworks:
Design and implement robust frameworks for evaluation, monitoring, logging, and cost optimization to maintain a trustworthy AI experience
.
Cross-Functional Collaboration:
Translate user needs into concrete requirements through stakeholder discussions and collaborate cross-functionally to design optimal solutions
.
Quality Standards:
Establish development processes, testing frameworks, and documentation standards while providing code reviews to ensure system scalability and accuracy
.
Must-Have Skills:
Development Experience:
5+ years of experience in at least one of the following: Python, TypeScript, or Go
.
LLM Expertise:
Hands-on experience building applications using LLM APIs (e.g., OpenAI, Anthropic, Google Gemini)
.
AI Agents & RAG:
Practical experience with AI agent frameworks (e.g., LangChain, CrewAI, Agents SDK) and designing RAG systems, including embedding and vector databases
.
Context Engineering:
Experience improving generation quality through prompt optimization and the design of specific evaluation metrics
.
NLP Foundations:
Solid foundation in natural language processing (NLP) and experience building data pipelines
.
Language Proficiency:
Japanese proficiency equivalent to
JLPT N1
.
Experience with search infrastructure such as Elasticsearch, OpenSearch, or Vespa
.
System design experience integrating knowledge graphs or structured data with RAG
.
Practical experience designing and operating systems in cloud environments (AWS, Google Cloud, or Azure)
.
Expertise in preprocessing and normalizing unstructured text data (e.g., emails, FAQs, and documentation)
.
Schedule:
Work Style:
Hybrid work is required (not fully remote); visa support is available
.
Flexibility:
Full flex system without core hours
.
Holidays:
Weekends, national holidays, and year-end/New Year holidays off
.
AI & Developer Tools:
Access to a premium suite of tools including ChatGPT Enterprise, Gemini for Google Workspace, Claude Code, Cursor, and GitHub Copilot
.
Equipment:
Choice of Mac or Windows laptop (Mac with US keyboard available)
.
Development Support:
Self-development budget for books, online courses, and certifications, plus language learning support
.
Side Jobs:
Permitted with prior approval
.
Special Leave:
Sick leave, work-life balance leave, and birthday leave
.
Family Support:
Maternity, childcare, and nursing care leave
.
Insurance & Programs:
Complete social insurance, influenza vaccination support, and an employee stock ownership program
.
Requirements
Benefits
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