Offer summary

Qualifications:

Minimum 2 years of experience in NLP and LLM development., Proficiency in Python for data processing and model building., Strong understanding of NLP concepts like tokenization, transformers, and language modeling., Experience with fine-tuning, prompt engineering, and deploying NLP models..

Key responsibilities:

Design and optimize NLP and LLM models for various tasks.

Develop data pipelines for training and evaluation.

Collaborate with teams to deploy NLP-powered applications.

Stay updated with latest LLM advancements and incorporate them into projects.

Job description

Your mission

Design, implement, and optimize NLP models, including traditional ML-based NLP, LMs, and LLMs.
Fine-tune and evaluate large-scale pre-trained models for domain-specific tasks.
Develop and maintain robust text data generation and processing pipelines.
Collaborate with product and engineering teams to build NLP-powered applications from research to deployment.
Conduct experiments and benchmark models using quantitative evaluation techniques.
Stay up to date with the latest advancements in LLMs (e.g., RAG, MCP, tool use, agentic systems) and apply them effectively in projects.
Integrate NLP components into larger production systems, ensuring scalability and performance.
Follow best practices in software engineering, version control, testing, and cloud-based deployment.

Your profile

2+ years of professional experience in LLM, Natural Language Processing.
Strong proficiency in Python, especially for data processing and model development.
Solid understanding of NLP concepts such as tokenization, embedding, language modeling, transformers, and sequence modeling.
Experience with LLM fine-tuning, prompt engineering, pretraining, and downstream evaluation.
Familiarity with traditional NLP techniques and modern LLM-based approaches.
Hands-on experience in building data pipelines for training and evaluation.
Experience working on end-to-end NLP product development (research to deployment).
Proficient with Git and cloud platforms like GCP (or AWS, Azure).
Exposure to DevOps practices, model deployment, and monitoring in production environments.
Deep knowledge or hands-on experience with agentic LLM systems, tool calling, retrieval-augmented generation (RAG), and Model Context Protocol (MCP) workflows.

Additional Qualification

Experience with open-source LLM frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, or similar.
Exposure to LLM-based application development platforms or orchestration tools.
Understanding of software architecture, microservices, and scalable systems.

What we offer

Opportunity to work on cutting-edge LLM/NLP problems with real product impact
Collaborative and research-friendly engineering culture
Flexible work environment
Career growth aligned with emerging AI innovations

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About us

Verbex is a Humanized AI SDR (Sales Development Representative ) Platform. Any user can easily Create, Connect, Configure and Deploy our AI Sales Development Representatives on phone lines or Web platforms, Mobile apps, Operating System or IOT devices. Verbex Platform allows users to connect their preferred business tools such as ERP, CRM, Call Center Solutions.

Our Humanized AI SDR then pulls data from your CRM and/or ERP and dials users/receive calls from users and record those in your business tools with detailed business analysis for each of the calls that it handled.

At Verbex we strive to interact with each other in high respect, work transparently and be courageous to improve our work and move forward as a team. Our team members are international based, passionate about personal growth, innovation, and collaboration. We are constantly striving to improve ourselves and the way we work together and create products. If you have a passion for technology and share this mindset, you are probably a great fit for our team!

If you have decided that Verbex is the organization where you can pursue your career productively and enjoyably, we are looking forward to your application!

The minute you start working here, you become an integral part of Verbex and its future. Every job in our company is important, and you will play a key role in the continuing growth of our company.

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