AI Engineer

Is there a Zenika in you?

Let’s talk skills and passion first.

You thrive on building intelligent, robust systems and production-grade AI pipelines. You are a software engineer at heart who views AI models as powerful tools, but you possess a craftsman’s mindset - focusing on simplicity, performance, and ethical safety. You care deeply about system reliability, latency, and clean code. Whether you are optimizing a Retrieval-Augmented Generation (RAG) system, coordinating multi-agent workflows, or managing vector databases, you take pride in software that is highly maintainable under the hood and delivers real, measurable value to production environments.

Your Role as a Zenika Consultant:

As a consultant, you'll work on strategic client engagements. You will design, build, and deploy reliable AI-powered applications while collaborating closely with client engineering teams to:

Architect & Build: Design and develop end-to-end generative AI systems, utilizing LLMs, semantic search, and robust backend integrations (primarily in Python or TypeScript).

Agentic Workflows: Implement autonomous AI agents and multi-agent frameworks capable of executing complex, multi-step actions and tool calling.

Data & Vector Management: Structure, optimize, and maintain vector databases (e.g., Qdrant, Pinecone, Chroma, or PGVector) and advanced embedding/chunking strategies.

Evaluation & Guardrails: Design robust metrics to evaluate model performance (accuracy, latency, costs) and establish security guardrails to mitigate hallucinations and data leaks.

Engineering Standards: Apply solid software engineering practices to AI development, including unit testing, test-driven development (TDD), rigorous code reviews, and living documentation.

Cloud & Automation: Deploy cloud-native AI applications using Docker, Kubernetes, and cloud-native AI services (AWS Bedrock, GCP Vertex AI, or Azure OpenAI).

Leadership: Help clients navigate the AI hype by identifying high-impact use cases, establishing best practices, and mentoring client engineering teams to become self-sufficient.

What You Bring

Experience: 3-8 years of professional software development experience, with a solid focus on building and deploying AI/LLM-integrated applications.

AI/LLM Application Stack: Hands-on experience with orchestration libraries such as LangChain, LangGraph, LlamaIndex, or CrewAI.

Software Craftsmanship: A passion for clean code (SOLID, DRY), strong proficiency in Python, and writing robust test suites (e.g., PyTest).

Data & Vector Stores: Direct experience working with relational databases and vector search engines.

Cloud & DevOps: Hands-on experience with Docker, CI/CD pipelines, and cloud environments (AWS, GCP, or Azure).

Consulting Mindset: Comfort working with diverse clients, translating complex AI concepts to non-technical stakeholders, and adapting quickly to different team cultures.

About Zenika

Founded by developer Carl Azoury, Zenika is a consultancy built around community, transparency, and craftsmanship. Our passionate team advises clients with expertise in open-source technologies and modern solutions.

Why Join Zenika?

Work with a global client base across 11 locations, accessing 28,000+ Zenika-led training sessions worldwide

Partner with industry leaders like Google Cloud and Scrum.org, and engage in research, open-source work, and conferences outside client projects

Connect and grow with fellow experts through our annual TechnoZaures, sharing skills and knowledge