
AI Developer
7 days ago
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, 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.
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