AI Engineering Consultant

TechYard; Zürich; On-site; CHF 130,000 - 180,000; Full time

Benefits offered by this job

International team

Ownership and impact

Mentoring and training

Cross-cutting AI work

Team events

Job summary

TechYard is seeking an AI Engineering Consultant to help clients design, build and deploy production-grade AI solutions across Generative AI, LLM applications, agentic systems and ML. This hands-on consulting role blends technical delivery, solution architecture and client engagement to move AI from proof of concept to production.

You’ll identify AI use cases, design GenAI applications (RAG, AI agents), and develop monitoring and guardrails while integrating solutions into data platforms and

Qualifications

• 3+ years' experience in software engineering, ML engineering, or data science.
• Bachelor's degree in Computer Science or related field; MSc/PhD preferred.
• Hands-on experience deploying AI/ML solutions into production.
• Strong experience with LLM applications (RAG, AI agents, tool use, prompt engineering).
• Excellent Python and software engineering skills including APIs, testing, CI/CD, and version control; solid SQL.
• Experience with Databricks, Azure AI, AWS Bedrock or Google Vertex AI.
• Familiarity with LangChain or LlamaIndex, and vector databases such as Qdrant, Chroma, FAISS or pgvector.
• Understanding of MLOps/LLMOps, AI evaluation and responsible AI.
• Strong analytical, problem-solving and communication skills.
• Fluent English is essential; German is highly desirable.

Responsibilities

• Identify AI use cases and translate business requirements into practical technical solutions.
• Design and build GenAI applications, including RAG systems, AI agents and LLM-powered solutions.
• Develop evaluation frameworks, monitoring and guardrails to ensure reliable and responsible AI.
• Integrate AI solutions into existing data platforms, applications and business processes.
• Work across data engineering, cloud architecture, machine learning and AI governance.
• Present technical recommendations and project outcomes to clients and senior stakeholders.

Skills

Python

APIs

CI/CD

SQL

Data engineering

Machine learning

Communication

Problem-solving

Education

Bachelor's degree in Computer Science or related field

MSc or PhD preferred

Tools

Databricks

Azure AI

AWS Bedrock

Google Vertex AI

LangChain

LlamaIndex

Qdrant

Chroma

FAISS

pgvector

Job description

We are looking for an AI Engineering Consultant to help clients design, build and deploy production-grade AI solutions. You will work across Generative AI, LLM applications, agentic systems and machine learning, translating business challenges into scalable, reliable solutions.

This is a hands-on consulting role, combining technical delivery, solution architecture and client engagement, with a focus on taking AI solutions beyond proof of concept and into production.

Key responsibilities

• Identify AI use cases and translate business requirements into practical technical solutions.
• Design and build GenAI applications, including RAG systems, AI agents and LLM-powered solutions.
• Develop evaluation frameworks, monitoring and guardrails to ensure reliable and responsible AI.
• Integrate AI solutions into existing data platforms, applications and business processes.
• Work across data engineering, cloud architecture, machine learning and AI governance.
• Present technical recommendations and project outcomes to clients and senior stakeholders.

What we're looking for

• 3+ years' experience in software engineering, machine learning engineering or data science.
• A Bachelor's degree in Computer Science or a related field; MSc or PhD preferred.
• Hands-on experience building and deploying AI/ML solutions into production.
• Strong experience with LLM applications, including RAG, AI agents, tool use and prompt engineering.
• Excellent Python and software engineering skills, including APIs, testing, CI/CD and version control, alongside solid SQL.
• Experience with platforms such as Databricks, Azure AI, AWS Bedrock or Google Vertex AI.
• Familiarity with frameworks such as LangChain or LlamaIndex, and vector databases such as Qdrant, Chroma, FAISS or pgvector.
• Understanding of MLOps/LLMOps, AI evaluation and responsible AI practices.
• Strong analytical, problem-solving and communication skills.
• Fluent English is essential; German is highly desirable.

What’s on offer

• An international, collaborative team working on challenging AI projects.
• A low-bureaucracy environment with the opportunity to take ownership and make an impact.
• Ongoing development through mentoring, knowledge-sharing sessions and tailored training.
• Opportunities to broaden your expertise across AI engineering, data and cloud technologies.
• Regular team events and social activities.