Advanced AI Solution Developer

7 days ago

Delhi, Delhi, India beBeeKnowledge Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Advanced AI Solution Developer

We are seeking a highly skilled Senior Engineer to join our team developing an advanced AI solution for a US-based client.

This role requires an engineer with expertise in developing systems using Knowledge Graph and NLP techniques such as Named Entity Recognition (NER), and Entity Linking.

The work involves architecting and building knowledge-driven solutions leveraging cutting-edge graph technology and databases and entity-centric data enrichment.

  • 6+ years of experience in software development, with 3+ years focused on NLP, knowledge graphs, and semantic technologies.
  • Strong experience in NLP and hands-on experience building and deploying NER and Entity Linking models to production.
  • Experience working with graph databases and graph query languages like Cypher or SPARQL.
  • Proficient in Python development with hands-on experience using relevant frameworks and libraries such as spaCy, PyKEEN, PyTorch etc.
  • Experience developing & deploying to the cloud (AWS/GCP/Azure) using infrastructure components like Docker, Kubernetes etc.
  • Strong understanding of the software engineering lifecycle, with best practices for code quality, repeatability, performance and reliability.
  • Familiarity with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code) and experience with human-in-the-loop review processes.
  • Ability to work in a rapidly iterative, experiment-driven environment with a tightly knit, cross-functional team.

Key Responsibilities:

  • Work collaboratively with team and client personnel to architect and build scalable knowledge graphs integrating diverse, large-scale data sources.
  • Develop ontologies and semantic data models for structured domain representation.
  • Build language pipelines for semantic parsing, relation extraction, context modeling etc.
  • Collaborate with Data and AI engineers in the team to integrate the graph elements into the overall solution and workflows.

The ideal candidate will have strong skills in software engineering, NLP, knowledge graphs and semantic technologies. Experience with cloud deployment and AI-assisted development tools is also desirable.

This is a high-impact engineering role, ideal for someone who has previously built AI-enabled systems in production and thrives in a collaborative, fast-paced environment.

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