Software Engineer - AI Platform, all Level

Neuplaner Audit Wirtschaftsprüfungsgesellschaft
Berlin, Germany
3 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Large Language Models Fastapi AI Platforms

Requirements

No ML background required, no prior tax or M&A knowledge. FastAPI, pgvector and LLM APIs we can teach you. In doubt, just apply.

About the company

Next to our team, we see our differentiation in technology. Not as a support function, but as the thing that makes the group worth more than the sum of its parts. We are building two things for that: Neuplaner Vision, the group’s second brain - you ask a question in plain language and get an answer grounded in our own documents, mail and meetings, with citations back to the source. Specific workflows sit on top of it, today at holding level, next inside the firms with their own tenant and their own data. And a tech-enabled talent strategy that makes the capability of several hundred advisors visible and usable across all firms - a new codebase, where you write the first lines.

Stack: Python 3.12 / FastAPI, PostgreSQL 16 with pgvector, React + TypeScript in strict mode, the Claude API called directly (no LangChain), AWS. On the talent codebase: Nest.js, Angular, MongoDB. This is applied AI engineering - we call models, we do not train them. Roughly 200,000 lines, two live installs, real users, small reviewed pull requests., NEUPLANER is building the tax advisory firm of the future. As a fast-growing, private-equity-backed group, we acquire established regional tax advisory and audit firms across Germany and unite them on a central platform - with a shared data and technology strategy, centralized teams of experts, and the goal of developing each local firm into a regional champion

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Fundamentals and limitations of large language models

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Leveraging large language models for code optimization and development

Stephan Gillich Stephan Gillich +3 · World Congress 2024

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Introduction to the fast API web framework

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