Remote AI / NLP Engineer

Description:

• Join SquarePeg.ai, a fast-growing HR Tech startup that has captured over 50 customers shortly after launching in 2025.
• As an AI Engineer specializing in Data & ML, you will be the technical force behind core matching algorithms.
• You will work directly with a founding team of 12 to enhance AI systems that connect candidates with opportunities.
• Responsibilities include building and maintaining taxonomies for candidate and job attributes, extracting and normalizing entities from resumes and job descriptions, and developing retrieval, ranking, and scoring methods using embedding-based techniques and LLMs.
• You will refine proprietary scoring algorithms that evaluate candidate-job compatibility and conduct analyses to identify patterns in successful hires.
• You will implement innovative NLP solutions that understand context, intent, and nuance in hiring language.
• You will design and implement robust data pipelines for handling large volumes of resume and job posting data and build entity resolution systems to normalize candidate profiles.
• Collaborate with the product team to translate business requirements into technical solutions and own the end-to-end ML lifecycle from experimentation to production deployment.

Requirements:

• A deep understanding of machine learning algorithms, particularly in recommendation systems or ranking problems is required.
• Experience with prompt engineering, prompt chaining, and LLM fine-tuning is necessary.
• Knowledge of vector databases and semantic search technologies is essential.
• Familiarity with A/B testing and experimental design is required.
• A minimum of 3 years of hands-on experience with Python, SQL, and modern ML frameworks such as PyTorch, TensorFlow, and scikit-learn is needed.
• A proven track record in NLP and working with large language models (OpenAI, Anthropic, open-source LLMs) is essential.
• Experience with data engineering tools and cloud platforms (AWS, GCP) is required.
• A strong background in entity resolution, data matching, or similar deduplication challenges is necessary.
• Experience in building and maintaining ontologies, datasets, and evaluation pipelines is required.
• Ability to choose different methods based on tradeoffs of cost, latency, and accuracy is essential.
• Candidates should possess a startup DNA characterized by being opinionated, data-driven, intellectually curious, and able to thrive in a fast-paced environment.

Benefits:

• The position offers a competitive salary and equity.
• Comprehensive benefits are included.
• You will have the chance to be a key player in shaping the future of work.
• There is a significant growth opportunity as the company has rapidly gained customers and is solving a pressing market problem.
• You will work with cutting-edge technology in AI/ML, including GPT5 and custom transformer architectures.
• The role provides a ground floor opportunity to shape the technical foundation and product as the company scales.