Descripción del trabajo

Asegúrese de leer la descripción completa a continuación y, si confía en que cumple todos los requisitos, envíe su solicitud de inmediato.

We are:

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there's no limit to what we can achieve

Are you a fit?

Sounds awesome, right? Now, let's make sure you're a good fit for the role:

Key Responsibilities

-

- Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.

- Implement optimized vector storage and indexing systems for NLP.

- Develop tools and frameworks for prompt management, automated evaluations, and observability.

- Monitor and improve agentic systems performance for accuracy and efficiency.

- Provide ongoing support, troubleshoot issues, and implement updates for ML solutions

- Build and maintain data processing pipelines for high volumes of structured and unstructured data.

- Integrate third-party AI APIs (internal and external) to extend the functionality of systems.

- Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.

- Build and extend internal products on top of the LangChain ecosystem (LangGraph,



LangSmith) to support prompt management, evaluation, and agent orchestration across the team.

Must-have Skills:

-

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.

- 4+ years of industrial experience in a machine learning engineering or data engineering role.

- Strong programming skills in Python and/or another high-level language commonly used in machine learning.

- Experience deploying LLMs, implementing automated evaluation pipelines (LLM-as-a-judge), and architecting multi-agent systems that utilize tool-calling and long-term memory to solve non-linear problems.

Nice-to-have:

-

- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

- Familiarity with cloud-based infrastructure and services (e.G., AWS and GCP), Docker, and the Git version control system

- Familiarity with consuming and integrating APIs in a reliable and secure manner.

What we offer:

-

- A High-Impact Environment

- Commitment to Professional Development

- Flexible and Collaborative Culture

- General Opportunities

- Vibrant Community

- Total Rewards

*Specific benefits are determined by the employment type and location. xhfqzwm

Find out more about our culture here.

#J-18808-Ljbffr

📌 Technisch Engineer. (Chantada)
🏢 Wizeline
📍 Chantada