Software Engineer - NLP/LLM Reasoning

Key Responsibilities

Design, develop, and optimize foundational reasoning models for enterprise applications.

Research and implement advanced NLP techniques and reasoning paradigms.

Build, maintain, and improve production-ready AI systems powered by Large Language Models.

Write clean, efficient, scalable, and well-documented Python code.

Collaborate with product, engineering, and research teams to define technical solutions.

Monitor, troubleshoot, and improve model performance and system reliability.

Stay up to date with the latest developments in NLP, LLMs, and AI research, and apply them to real-world products.

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.

Strong programming skills in

Python

.

Hands-on experience with

Natural Language Processing (NLP)

and

Large Language Models (LLMs)

.

Experience with

TensorFlow

,

PyTorch

, or similar deep learning frameworks.

Good understanding of transformer architectures, prompt engineering, embeddings, and reasoning techniques.

Strong analytical, debugging, and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work independently in a high-ownership, fast-paced environment.

Preferred Qualifications

Experience with Retrieval-Augmented Generation (RAG), Vector Databases, or Agentic AI.

Familiarity with LLM fine-tuning, evaluation, and optimization.

Experience deploying AI models in production environments.

Knowledge of cloud platforms such as AWS, Azure, or GCP.