Ai Developer

4 weeks ago

Hyderabad, India StoryTech Full time

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.

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