AI Developer (Recruitment & Job Search Platform)

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

• Strong 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).

Programming & Tools

• 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).

DevOps & Infrastructure

• Containerisation & orchestration (Docker, Kubernetes).
• AWS / GCP / Azure (EC2, RDS, S3, SageMaker, Lambda).
• CI/CD (Jenkins, GitHub Actions).

Preferred Skills

• 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.

Educational Background

• 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.