Shenzyn
Website:
shenzyn.com
Job details:
Company Description Shenzyn is a career advancement platform that uses AI and blockchain technologies to match professionals with roles tailored to their aspirations and skills. The organization focuses on helping individuals design, reshape, and accelerate their careers through smart, technology-driven matching. Shenzyn specializes in building diverse workforces and partners closely with employers who value inclusion. The platform supports talent from groups such as women returning from career breaks, people with disabilities, LGBTQ professionals, armed forces veterans, and gig workers. Applicants can expect to engage with an environment that values equity, innovation, and meaningful opportunity.
Role Description This is a full-time, on-site AI/LLM Model Developer role based in the Kolkata metropolitan area. The professional in this position will design, develop, and optimize AI solutions using large language models (LLMs), generative AI, and agentic AI frameworks, with a strong emphasis on Python-based development. Day-to-day work includes building and integrating AI models into production systems, refining model performance, monitoring quality, and collaborating with product and data teams to translate business needs into technical specifications. The role involves experimenting with new architectures, conducting model evaluations, implementing prompt engineering techniques, and ensuring responsible AI practices around data privacy, fairness, and security. The individual will also document technical approaches, support deployment and maintenance, and contribute to continuous improvement of Shenzyn’s AI-driven matching platform.
Qualifications
- Strong Python programming skills, including experience with modern frameworks and libraries for AI and data processing.
- Hands-on experience with LLMs, generative AI, and agentic AI (e.g., model selection, fine-tuning, prompt engineering, and evaluation).
- Solid understanding of machine learning and deep learning concepts, including NLP techniques and common model architectures.
- Proficiency with ML/AI tooling such as PyTorch, TensorFlow, Hugging Face, or similar ecosystems, and familiarity with MLOps practices.
- Knowledge of software engineering best practices, including version control (Git), testing, code review, and documentation.
- Experience integrating AI services into production environments via APIs, microservices, or cloud platforms.
- Awareness of ethical and responsible AI principles, including bias mitigation, explainability, and data privacy.
- Bachelor’s or higher degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- Ability to work collaboratively in diverse teams, communicate technical concepts clearly, and adapt to evolving project requirements.
- Experience in talent-tech, HR-tech, or recommendation systems is beneficial but not required.
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