Role Overview :

We are seeking an experienced AI / ML Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.

Key Responsibilities :

Model Analysis & Optimization :

- Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.

AI Product Design & Development :

- Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.

Prompt Engineering & Response Quality :

- Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.

AI Service Integration :

- Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.

AI-Assisted Development Productivity :

- Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.

Cross-Functional Collaboration :

- Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.

Model Monitoring & Continuous Improvement :

- Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.

Qualifications :

- Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.

- Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.

- Proven experience building, training, and deploying chatbots or conversational AI systems.

- Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.

- Solid programming experience in Python or similar languages, with strong problem-solving and development fundamentals.

- Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).

- Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.

- Exposure to cloud environments such as AWS or Azure for deploying and managing AI solutions.

- Familiarity with APIs, microservices architecture, and system integration for scalable AI applications.

Why Join Us :

- Build cutting-edge AI-powered B2B SaaS products

- Own architecture and technology decisions end-to-end

- Work with highly skilled ML and Full Stack teams

- Be part of a fast-growing, innovation-driven product organization