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Tech Stack
Tools & technologiesMicroservicesOpen SourcePythonSparkSQL
About the role
Key responsibilities & impact- Applied AI Software Engineers work within small teams composed of Tomoro and client engineers to design, develop, and deploy AI applications, such as agents built on LLMs.
- As you gain experience and expertise in this role, you may lead these teams, drive end-to-end solutions, and advise clients on these topics.
- The applications we develop typically leverage existing foundational models, whether proprietary or open source, sometimes involving adaptation or fine-tuning.
Requirements
What you’ll need- Hands-on experience developing AI solutions in production, including:
- Designing microservices (including data pipelines with frameworks such as Spark)
- Data technologies (Python, SQL)
- LLMs & fine-tuning (open source models and OpenAI APIs)
- Designing software solutions, primarily around data-driven applications using Python, SQL, and related technologies
- Solving complex problems and performing technical analysis
- Comfortable with client-facing interactions.
Benefits
Comp & perks- Hybrid.
- Depending on client and project needs, you must be flexible and willing to work at client offices up to three days per week.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI solutions developmentmicroservices designdata pipelinesPythonSQLLLMsfine-tuningOpenAI APIsdata-driven applicationstechnical analysis
Soft Skills
problem solvingclient-facing interactionsteam leadership
