Highlights
Full-stack coding, robust data pipelines, AI agent development, collaboration with product and engineering managers.
Description
Job Summary
pJoin Alation, a leader in AI-powered data intelligence. As an AI Engineer, you will design and build robust agentic applications to enhance productivity and efficiency across multiple departments. Work with LLMs from OpenAI and Anthropic, develop advanced data pipelines, and collaborate closely with Product and Engineering Managers.
Responsibilities
- Develop and monitor data pipelines for agent workflows
- Work on full-stack coding and integrate with internal data warehouses
- Create purposeful AI Agents using modern frameworks like LangChain and Pydantic-AI
- Build AI-powered applications combining structured data, language models, and workflow
- Owning code quality and pipeline reliability
Required Skills
- Experience with LLMs and AI systems development
- Proficient in SQL and relational databases
- Hands-on experience with Python and TypeScript
- Familiarity with data pipelines using dbt or similar tools
- Strong communication skills for cross-functional collaboration
Required Skills Explained
{'html': "
- Proven track record with at least two years of writing and deploying production-grade software.
- Bachelor's degree in Computer Science or a similar discipline.
- Working understanding of LLMs or AI system development, including prompting to evaluation.
- Hands-on experience working with SQL and relational data; familiarity with tools like Snowflake, BigQuery, or Redshift is beneficial.
- Demonstrated ability to build data pipelines and ETL using dbt, FiveTran, or custom Python code.
- Experience in full-stack coding, particularly in Python and TypeScript for integrations, pipelines, and intelligent systems.
- A working knowledge of modern LLM and agent frameworks such as LangChain and Pydantic-AI.
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Who is this for
pThis role is perfect for an experienced full-stack developer who enjoys building AI systems, working on data pipelines, and collaborating closely with cross-functional teams. Ideal candidates bring a growth mindset and a passion for solving complex problems.
Why This Job is a Good Opportunity
{'html': 'ulliOpportunity to work on cutting-edge AI technologies in the field of data intelligence.liPotential for significant business influence and ownership over projects that deliver real-world value.liCollaboration with cross-functional teams, including Product Managers and Engineering Managers, to develop innovative solutions.liA vibrant company culture that values speed, innovation, and teamwork.liGrowth potential in a rapidly expanding sector with strong demand for AI-driven data solutions.'}
Interview Preparation Tips
{'html': "
- Review Alation's mission and vision to understand their focus on AI-powered data intelligence.
- PRACTICE discussing your experience with LLMs, SQL, and data pipelines. Be ready to give examples of projects you've worked on in these areas.
- Prepare to explain how you have demonstrated a growth mindset and an ability to work across the full lifecycle from problem framing to testing and deployment.
- THINK about specific instances where you have collaborated with non-technical teams and successfully communicated complex technical concepts.
"}
Career Growth in This Role
{'html': "pAs a key member of Alation's AI engineering team, there is significant potential for career advancement. You may move into leadership roles or take on more specialized responsibilities as you develop expertise in specific areas like LLMs and agent frameworks. The fast-paced nature of the company provides ample opportunity to contribute to groundbreaking projects that can shape the future of data intelligence.pThe role offers a path towards becoming an expert in AI-driven systems, allowing you to stay at the forefront of technological trends and innovations. As Alation continues to grow and expand its offerings, your contributions will be crucial in helping the company maintain its position as a leader in AI-powered data solutions."}
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Skills
Frequently Asked Questions
What experience do I need for this role?Candidates should have a proven track record of writing and deploying production-grade software, working knowledge of LLMs or AI system development, and hands-on experience with SQL.
What kind of data systems will I be working with?You will work with internal data warehouses and other business applications like Salesforce to develop robust data pipelines.
Is this role suitable for someone who enjoys learning new technologies?Absolutely! This position offers immense opportunities to learn about LLMs, AI agent frameworks, and more as you build real-world systems.
