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 (Core AI / ML 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.