LLM & NLP Solution Developer

As an AI/ML Engineer specializing in Large Language Models (LLM) and Natural Language Processing (NLP), your role will involve crafting, optimizing, and scaling AI-driven interactions to enhance system performance, improve user experience, and deliver tangible business value. You will work with cutting-edge technologies such as GPT-4, Claude, Gemini, and other open-source models to design, test, and refine prompts for LLM optimization.

Your key responsibilities will include:

• Collaborating with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools.
• Conducting experiments and evaluations to ensure accuracy, safety, and quality of AI-generated outputs.
• Automating prompt workflows and integrating prompt chains with APIs and tool stacks.
• Fine-tuning models or building retrieval-augmented generation (RAG) pipelines as needed.
• Staying updated with the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research.
• Contributing to building internal documentation, prompt templates, and reusable libraries.

The qualifications and skills required for this role are:

• Bachelors degree in computer science.
• 2 years of experience working with LLMs, AI systems, and NLP frameworks.
• Solid understanding of transformer models and training.
• Experience using platforms such as OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar.
• Strong proficiency in Python, with practical experience in leading AI frameworks and libraries like LangChain, LlamaIndex, and others commonly used in LLM and NLP development.
• Background in UX, technical writing, or content design is considered a plus.

Join our team and be a part of creating innovative AI solutions that drive performance and user experience to new heights. As an AI/ML Engineer specializing in Large Language Models (LLM) and Natural Language Processing (NLP), your role will involve crafting, optimizing, and scaling AI-driven interactions to enhance system performance, improve user experience, and deliver tangible business value. You will work with cutting-edge technologies such as GPT-4, Claude, Gemini, and other open-source models to design, test, and refine prompts for LLM optimization.

Your key responsibilities will include:

• Collaborating with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools.
• Conducting experiments and evaluations to ensure accuracy, safety, and quality of AI-generated outputs.
• Automating prompt workflows and integrating prompt chains with APIs and tool stacks.
• Fine-tuning models or building retrieval-augmented generation (RAG) pipelines as needed.
• Staying updated with the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research.
• Contributing to building internal documentation, prompt templates, and reusable libraries.

The qualifications and skills required for this role are:

• Bachelors degree in computer science.
• 2 years of experience working with LLMs, AI systems, and NLP frameworks.
• Solid understanding of transformer models and training.
• Experience using platforms such as OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar.
• Strong proficiency in Python, with practical experience in leading AI frameworks and libraries like LangChain, LlamaIndex, and others commonly used in LLM and NLP development.
• Background in UX, technical writing, or content design is considered a plus.

Join our team and be a part of creating innovative AI solutions that drive performance and user experience to new heights.