AI/LLM Engineering – Working Student

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🕒 May 14

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Cognitx

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Cognitx is an enterprise AI Work OS that connects to 600+ data sources and business tools, allowing teams to ask natural-language questions across their systems, receive unified visual insights, and automatically generate and execute multi-step workflows. It emphasizes enterprise-grade security (encryption, SSO, on-prem deployment, GDPR compliance) and aims to reduce time spent switching tools by automating reports, alerts, and operational processes for sales, product, finance, and support teams.

📋 Description

• Build and improve agentic workflows (tool/function calling, planning, self-checks) for analytics, summaries, visualizations, and task automation. • Implement adapters and tools to connect LLMs with internal and external services. • Contribute to our FastAPI backend with clean interfaces, Pydantic validation, and tests. • Develop evaluation metrics to measure accuracy, latency, and cost. • Optimize prompts, retrieval/contexting, and execution strategies for privacy, reliability, and performance. • Ship services in containers (Docker) and collaborate on deployments (Kubernetes), CI, and observability. • Document technical decisions and share learnings with the team.

🎯 Requirements

• Experience with LLMs/AI agents (function/tool calling, RAG, MCP, or agent frameworks) and solid Machine Learning fundamentals. • Strong Python skills for production code and data tasks (type hints, tests, packaging). • Familiarity with APIs and microservices (FastAPI preferred), Git, and containerized development (Docker). • Strong problem-solving skills, clear communication, and a proactive ownership mindset. • Currently enrolled in Computer Science, Data Science, AI, or a related field and eligible to work as a working student. • Nice to have: retrieval/RAG stacks (embeddings, chunking, evaluators), Redis, PostgreSQL. • Familiarity with Kubernetes, GitLab CI, and observability (logs/metrics/traces). • React/TypeScript experience for lightweight UI tooling. • Interest in EU privacy/GDPR and safety-by-design for enterprise AI. • Exposure to self-hosted/open models (e.g., Llama, Mistral) and model serving. • Understanding of knowledge-graph concepts and graph queries.

🏖️ Benefits

• Work on meaningful, privacy-first AI projects with real enterprise pilots. • Rapid learning through close mentorship from a team of senior AI experts. • Flexible hours, remote-friendly setup, and meaningful impact from day one. • Competitive working-student compensation.