About the Company

Netomi is a premier agentic AI platform designed to enhance enterprise customer experiences. The company partners with major global brands such as Delta Airlines, MetLife, MGM, and United to implement agentic automation across the entire customer journey at scale. Their no-code platform is distinguished by its rapid time to market, cost-effectiveness, and ease of management for AI agents across various customer experience use cases. Supported by prominent investors including WndrCo, Y Combinator, and Index Ventures, Netomi empowers enterprises to boost efficiency, reduce operational costs, and elevate the quality of their customer interactions. The company invites individuals passionate about the AI revolution and transforming global business practices to join their innovative team.

Job Description

This role is ideal for individuals fascinated by the potential of intelligence agencies, eager to build cutting-edge Natural Language Processing (NLP) models, and keen on tackling complex technical challenges. The position is central to shaping the future of Automated Customer Service and offers the opportunity to engage with some of the most demanding technical and programmatic issues in the field. We are actively searching for a Data Scientist with a solid foundation in machine learning and practical knowledge of Large Language Models (LLMs). This position emphasizes continuous learning, contributing to the development of AI-powered solutions, and enhancing technical proficiencies through immersive project-based work. The successful candidate will support NLP and machine learning initiatives under expert supervision, while concurrently expanding their expertise in contemporary AI systems.

Responsibilities

• Stay abreast of fundamental LLM concepts, architectures, and advancements in the field.
• Acquire knowledge of transformer architectures, prompt engineering, and basic model optimization techniques.
• Explore emerging LLM capabilities and frameworks under the guidance of senior team members.
• Read and comprehend research papers and technical documentation relevant to LLMs and AI.
• Assist in designing AI solutions tailored to address specific business challenges utilizing LLMs.
• Develop proof-of-concept applications to test hypotheses and validate proposed approaches.
• Prototype LLM-based applications using contemporary development frameworks.
• Conduct experimental evaluations to compare the efficacy of different methodologies.
• Collaborate effectively with team members and learn from subject matter experts.
• Write code that adheres to team standards for readability, maintainability, and best practices.
• Develop and implement LLM-powered workflows utilizing orchestration frameworks such as LangChain or LangGraph.
• Implement core LLM features, including basic prompt engineering, API integrations, and structured data output generation.
• Construct functional systems that seamlessly integrate with LLM APIs.
• Actively participate in code reviews, providing and receiving constructive feedback to foster learning.
• Optimize code for both readability and fundamental performance considerations.
• Design straightforward experiments to validate concepts and quantify outcomes.
• Evaluate the quality of LLM outputs and assess system performance using defined metrics.
• Work on refining prompts and applying basic model fine-tuning strategies.
• Perform data analysis and conduct statistical testing to support decision-making.

Qualifications

• 1-2 years of professional experience in data science, machine learning, software development, or analogous technical domains.
• A Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related technical discipline.
• Evidence of a strong interest in Natural Language Processing (NLP) and Large Language Model (LLM) applications, demonstrated through personal projects, academic coursework, or relevant work experience.
• Proficiency in Python programming, with the ability to produce clean, functional, and well-structured code.
• Practical experience interacting with LLM APIs from providers such as OpenAI, Anthropic, or Google.
• Familiarity with at least one major deep learning framework, with a preference for PyTorch or TensorFlow.
• Basic experience with LLM orchestration frameworks like LangChain or LangGraph.
• A foundational understanding of NLP principles, including text preprocessing, word embeddings, and classification techniques.
• Experience with common machine learning models, such as regression, classification, and clustering algorithms.
• Hands-on experience in making API calls and processing responses from LLMs.
• Proficiency with Git for version control in collaborative development environments.
• Ability to write basic unit tests for software code.
• Familiarity with vector databases or embedding systems.
• A foundational understanding of cloud computing principles.
• Excellent problem-solving capabilities and a proactive eagerness to learn.
• Strong communication skills and the capacity to collaborate effectively within a team setting.
• Self-motivated with a pronounced intellectual curiosity concerning Artificial Intelligence and Machine Learning.

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Other Information

Netomi is committed to fostering a diverse and inclusive workplace and is an equal opportunity employer. They evaluate applicants based on qualifications and merit without regard to race, color, religion, sex, sexual orientation, disability, veteran status, or other protected characteristics.

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