AI Developer

Role Overview: As an AI Engineer at our company, you will be responsible for designing, developing, and implementing advanced AI/ML solutions for our job search and resume intelligence platform. Your primary focus will be on resume parsing, skill inference, job-function classification, personalized recommendations, and career guidance features. You will have the opportunity to work with large-scale Spring Boot microservices and web/mobile applications to enhance the overall user experience. Key Responsibilities: - Develop AI-powered resume parsing systems for structured data extraction from PDFs, DOCX, and images. - Implement skills and job-function inference models using LLMs, transformers, or domain-specific embeddings. - Build AI-driven recommendation engines for job-matching, ranking, and career suggestions. - Design natural language generation (NLG) modules for creating jobseeker descriptions, career summaries, and cover letters. - Train and fine-tune domain-specific LLMs based on resume/job data. - Integrate AI services into existing Spring Boot APIs, Next.js frontend, and mobile apps. - Research and implement state-of-the-art NLP/LLM techniques for job search and career intelligence. Qualifications Required: - Strong proficiency in Natural Language Processing (NLP) including Named Entity Recognition, text classification, embeddings, and similarity search. - Experience with LLMs such as OpenAI, Hugging Face Transformers, DJL, QwenInference, and LLaMA. - Familiarity with resume parsing & job-related models like BERT, Sentence Transformers, spaCy, and PyTorch/TensorFlow. - Knowledge of recommendation system design principles including collaborative filtering and ranking algorithms. - Proficiency in working with vector databases like FAISS, Pinecone, Weaviate. Additional Company Details: (Omit this section as no additional details of the company are mentioned in the job description) Educational Background: - Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Certifications in AI/ML, NLP, or cloud platforms will be considered a plus.,