AI Engineer

Jobtailor; Hedehusene; On-site; DKK 1,200,000 - 1,700,000; Full time

Job summary

Jobtailor is seeking an experienced AI engineer to independently deliver GenAI, NLP and RAG features of moderate complexity. You will develop and optimize end-to-end AI pipelines and work closely with cross‑functional teams.

Responsibilities include transforming requirements into implementable plans, evaluating system performance, and ensuring production‑readiness. A strong python background and fluency in English are essential for collaboration in an agile setting in Denmark.

Qualifications

• A degree in Computer Science, Software Engineering, AI, Machine Learning, or similar‑or equivalent professional experience.
• 3+ years of professional AI engineering/applied data science experience, including hands‑on experience with AI, NLP, machine learning, deep learning, or language‑model‑based applications.
• Strong Python skills and experience building clean, maintainable, and production‑ready software.
• Solid understanding of software engineering practices (testing, CI/CD, version control, etc.).
• Ability to work in cross‑functional, agile teams and communicate clearly in English.

Responsibilities

• Independently deliver scoped AI, GenAI, NLP, and RAG features of moderate complexity.
• Develop and enhance RAG pipelines, including document parsing and ingestion, chunking and metadata strategies, query transformation, retrieval and ranking, response generation and grounding.
• Build GenAI features using LLM APIs, structured prompting, and orchestration frameworks (e.g., LangChain, LangGraph, DSPy, etc.).
• Evaluate AI system performance using practical methods such as retrieval metrics, response quality assessment, hallucination analysis, latency measurement, cost analysis, and failure‑case testing.
• Translate requirements into user stories and provide implementation plans.

Skills

Python

NLP

ML

Deep Learning

Language Modeling

Software Engineering

CI/CD

Education

Degree in Computer Science / Software Engineering / AI

Tools

LangChain

LangGraph

DSPy

Job description

Responsibilities

• Independently deliver scoped AI, GenAI, NLP, and RAG features of moderate complexity
• Develop and enhance RAG pipelines, including document parsing and ingestion, chunking and metadata strategies, query transformation, retrieval and ranking, response generation and grounding
• Build GenAI features using LLM APIs, structured prompting, and orchestration frameworks (e.g., LangChain, LangGraph, DSPy, etc.)
• Evaluate AI system performance using practical methods such as retrieval metrics, response quality assessment, hallucination analysis, latency measurement, cost analysis, and failure‑case testing
• Translate requirements into user stories and provide implementation plans

Requirements

• A degree in Computer Science, Software Engineering, AI, Machine Learning, or similar‑or equivalent professional experience
• 3+ years of professional AI engineering/applied data science experience, including hands‑on experience with AI, NLP, machine learning, deep learning, or language‑model‑based applications
• Strong Python skills and experience building clean, maintainable, and production‑ready software
• Solid understanding of software engineering practices (testing, CI/CD, version control, etc.)
• Ability to work in cross‑functional, agile teams and communicate clearly in English