AI Engineer

Jolera stands as a distinguished multinational Global Systems Integrator (GSI), a vanguard in delivering comprehensive and bespoke IT solutions to a diverse clientele, encompassing both direct customers and channel partners across the globe. We are driven by a commitment to excellence, leveraging a team of over 550 highly skilled professionals to design, implement, and manage technology systems that are not only effective and competitive but also scalable and value driven. Our comprehensive suite of services includes the creation of customized technology solutions tailored to specific business needs, in-depth IT assessments and strategic planning, meticulous IT device and infrastructure management, robust data backup and recovery solutions, seamless cloud and on-premise migrations, enterprise-grade security services, and round-the-clock, 24/7/365 quad-lingual end-user support. At Jolera, we believe in empowering organizations worldwide with innovative and reliable IT solutions, and we invite you to join us in this mission.

We are seeking a highly practical AI Engineer to design, build, and deploy production-grade AI systems. This is a hands-on engineering role focused on turning real business problems into scalable AI solutions - not academic research. You will work directly with the CTO and product leaders to deliver high-impact AI capabilities across products, operations, and internal platforms. This role is ideal for an engineer who enjoys owning systems end-to-end: from data ingestion and model integration, to APIs, evaluation, and real-world deployment.

- Build LLM-powered systems (RAG, agents, copilots, automation tools)

- Design data pipelines for structured and unstructured data (PDFs, APIs, databases)

- Implement retrieval systems (vector DBs, embeddings, semantic search)

- Integrate and evaluate models (OpenAI, Claude, Gemini, open-source)

- Ship APIs and microservices (FastAPI / Flask / Node)

- Implement prompt engineering, evaluation, and guardrails

- Deploy on cloud (AWS / GCP / Azure / IBM)

- Monitor accuracy, latency, cost, and failure modes

- Work directly with stakeholders to turn fuzzy needs into shipped systems

- Strong Python (and Typescript/Node)

- Experience with LLMs and modern AI stacks

- RAG systems and vector databases (Pinecone, Weaviate, FAISS, Milvus)

- API development (FastAPI / Flask / Express)

- SQL + intermediate data engineering

- Cloud fundamentals (Docker, CI/CD, basic infra)

- IBM Watsonx (all components)

- LangChain / LlamaIndex

- HuggingFace models & pipelines

- Open-source LLMs (LLaMA, Mistral, Mixtral)

- Basic ML evaluation techniques

- Prompt testing frameworks

- Kubernetes (bonus)

- Knowledge graphs / embeddings tuning

- Thinks like a builder, not a researcher

- Can ship MVPs in days, not months

- Understand tradeoffs (accuracy vs cost vs latency)

- Is comfortable with ambiguity

- Can operate without heavy product management

- Enjoys being close to real users and business problems

- Shipped at least 2 production AI features

- Built one full RAG system end-to-end

- Set up evaluation metrics and monitoring

- Become the CTO’s go-to execution partner for AI

What We Offer:

- Direct access to leadership

- Real ownership of systems

- Exposure to real business problems

- Freedom to choose tools and architectures

- Ability to shape the company’s AI strategy in practice

At Jolera, we are committed to creating a diverse, equal and inclusive. Our goal is to attract and retain the best talent while embracing diversity in all its forms. We value and respect differences in ethnic background, gender, age, religion, identity, disability, or any other characteristic protected by applicable law.