Unify - Senior Engineer - Knowledge Graph Andamp; NLP

Employment Type: Full-Time

Role: Senior Software Development Engineer - Senior SDE - Backend Developer with AI

Key Skills: Python, Knowledge Graph, & NLP

Number of Openings: 01

Joining time: Immediate to 30 days

Job Location: Masters/Bachelors degree in Computer Science, Statistics, Engineering or a related technical discipline will be preferred

Detailed Job Description

We are looking for a Senior Engineer - Knowledge Graphs & NLP for our team developing an advanced AI solution for a US based client. This role needs an engineer with expertise in developing systems using Knowledge Graph and NLP techniques like Named Entity Recognition (NER), and Entity Linking.

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

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.

You will be part of a small team of developers in India and working closely with a Senior AI Architect in the US, as well as with Client technical personnel.

• This role requires working with some US time-zone overlap for communication and collaboration.
  
  

• 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.
  
  

• 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.