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▷ (Immediate Start) AI Developer (Recruitment & Job Search Platform)
StoryTechIndia21 hours ago
Job descriptionStrong in Natural Language Processing (NLP) : Named Entity Recognition, text classification, embeddings, similarity search. Experience with LLMs (OpenAI, Hugging Face Transformers, DJL, QwenInference, LLaMA, etc.). Resume parsing & job-related models (BERT, Sentence Transformers, spaCy, PyTorch / TensorFlow). Recommendation system design (collaborative filtering, ranking algorithms). Familiarity with vector databases (FAISS, Pinecone, Weaviate, Milvus). Python (Transformers, PyTorch, Hugging Face, Scikit-learn). Java (Spring Boot) for integration of AI services into backend APIs. SQL / MySQL for handling structured jobseeker / employer data. API Development (REST, gRPC). Containerisation & orchestration (Docker, Kubernetes). AWS / GCP / Azure (EC2, RDS, S3, SageMaker, Lambda). CI / CD (Jenkins, GitHub Actions). Experience in job search, recruitment tech, or HRTech platforms. Knowledge of resume formats (JSON Resume, HR-XML, Europass). Familiarity with AI bias / fairness in hiring. Exposure to Firebase (chat data, application metadata). Hands-on with vector search + retrieval augmented generation (RAG) for job recommendation. Bachelor’s / Master’s in Computer Science, AI / ML, Data Science, or related field. Certifications in AI / ML, NLP, or cloud platforms are a plus.
We are seeking an AI Engineer to design, develop, and deploy advanced AI / ML solutions for our job search and resume intelligence platform. The engineer will work on resume parsing, skill inference, job-function classification, personalized recommendations, and career guidance features, integrating with large-scale Spring Boot microservices and web / mobile applications.
Key Responsibilities
- Develop AI-powered resume parsing systems (structured data extraction from PDFs, DOCX, 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 writing jobseeker descriptions, career summaries, and cover letters.
- Train and fine-tune domain-specific LLMs (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.
Required Skills (Core AI / ML Skills)
Programming & Tools
DevOps & Infrastructure
Preferred Skills
Educational Background
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