Software Engineer - NLP/LLM Reasoning

Software Engineer – NLP/LLM Reasoning
Location: Pune
Employment Type: Full-time
Work Mode: Hybrid (Pune) with US Time Overlap
Experience: Senior (4+ Years)
Department: Engineering
About the Opportunity
Woodfrog is hiring a Senior Software Engineer – NLP/LLM Reasoning for a client building advanced reasoning models for enterprise applications using Large Language Models (LLMs).
You will work at the intersection of NLP research, LLMs, reasoning systems, and production engineering, contributing to the development and refinement of models designed for enterprise-level reasoning tasks.
This is a high-growth deep-tech startup environment requiring strong technical ownership, research-oriented thinking, and the ability to build production-quality systems.
About the Role
You will play a key role in developing and refining foundational models and reasoning systems for enterprise use cases.
The role involves hands-on work across both research and engineering, including exploring new NLP and reasoning approaches, implementing research ideas, improving model performance, and maintaining clean and scalable production code.
Key Responsibilities
Develop and refine foundational models for enterprise reasoning tasks.
Research and implement new NLP, LLM, and reasoning paradigms.
Translate research findings and ideas into production-ready systems.
Build, optimize, and maintain high-quality Python codebases.
Work with PyTorch and/or TensorFlow for model development and experimentation.
Analyze and troubleshoot complex model-performance and engineering issues.
Collaborate with engineering and research teams to define and execute technical requirements.
Stay current with developments in NLP, LLMs, reasoning models, and AI research.
Requirements
Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
Strong hands-on experience with Natural Language Processing (NLP).
Proven experience working with Large Language Models (LLMs).
Experience with reasoning models or reasoning paradigms.
Strong programming skills in Python.
Hands-on experience with PyTorch and/or TensorFlow.
Strong understanding of NLP/LLM concepts and model development.
Strong problem-solving and analytical skills.
Ability to write clean, maintainable, and well-documented code.
Strong communication and collaboration skills.
Comfortable working in a fast-paced, high-ownership startup environment.
Tech Stack
AreaTechnologiesProgrammingPythonML FrameworksPyTorch, TensorFlowCore AreasNLP, LLMs, Reasoning ModelsEnvironmentAI Research + Production Engineering
Important Screening Criteria
This is not a generic GenAI/RAG role.
Candidates should demonstrate relevant hands-on experience in:
NLP
LLMs
Reasoning models / reasoning paradigms
Python
PyTorch and/or TensorFlow
Experience limited primarily to generic GenAI applications, RAG pipelines, prompt engineering, or API-based LLM integration should not by itself be considered sufficient for this role.
Application
Interested candidates can apply through the Woodfrog careers page: https://www.woodfrog.tech/careers/backend-software-engineer-sde

Work arrangement
Yes