Senior AI Platform Engineer
Key Skills
Knowledge Graphs, Neo4j, Elasticsearch, OpenSearch, Entity Resolution, NLP, NER, LLMs, Gemma, Llama, GLiNER, spaCy, PostgreSQL, Kubernetes, Datadog, AI-Assisted Development, Data Modeling
Experience
7+ years of experience
Location
LATAM (Remote)
Mode
Remote
We at Coforge are hiring Senior AI Platform Engineer / Knowledge Graph Engineer (006fu00000eClH3AAK-2) with the following skill set.
Key Responsibilities
- Evolve and enhance a core platform focused on entity management, governance, cross-references (XREFs), relationships, and business context discovery.
- Design, develop, and improve Named Entity Recognition (NER) pipelines using LLMs, open-source NLP models, gazetteers, pattern matching, and blacklist-based approaches.
- Extend entity extraction capabilities to additional content sources, including streaming and real-time content.
- Improve search experiences through entity resolution, personalized search, metadata filtering, and relationship-driven exploration.
- Design and maintain graph-based relationship models that support traversal, visualization, and advanced business context mapping.
- Implement entity-level security and access control mechanisms across retrieval, search, and exploration workflows.
- Integrate new data sources and support connectivity with downstream applications and business platforms.
- Translate complex business requirements into scalable technical solutions and AI-powered workflows.
- Leverage AI-assisted development tools while critically validating generated code, architecture decisions, and technical solutions.
- Collaborate with stakeholders across multiple business domains to define priorities and shape platform evolution.
- Contribute to team onboarding, technical mentoring, and knowledge-sharing initiatives.
Required Skills & Qualifications
- 7+ years of software engineering experience, including the design and operation of data-intensive platforms in production environments.
- Strong expertise with Elasticsearch and/or OpenSearch, information retrieval systems, and entity resolution techniques.
- Hands-on experience with graph databases and knowledge graphs, including Neo4j and Cypher.
- Solid experience in Applied NLP and NER solutions using technologies such as Gemma, Llama, GLiNER, spaCy, and LLM-based extraction techniques.
- Experience with PostgreSQL, Kubernetes, and observability tools such as Datadog.
- Proven experience ingesting, synchronizing, and managing data from multiple source systems.
- Strong systems-thinking mindset with advanced architecture and data modeling capabilities.
- Demonstrated ability to model complex business domains and relationships.
- Practical experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude, ChatGPT, and agentic workflows.
- Ability to evaluate, challenge, validate, and improve AI-generated outputs using sound engineering judgment.
- Experience implementing permission-aware data access, security controls, and restricted-data filtering mechanisms.
- Excellent verbal and written communication skills.
- Advanced English proficiency.
Preferred Skills
- Experience in Oil & Gas, Energy, Utilities, Mining, or other asset-intensive industries.
- Exposure to large-scale enterprise data governance and master data management initiatives.
- Experience building enterprise search, discovery, or knowledge management platforms.
- Familiarity with graph visualization and relationship analytics solutions.
- Experience designing AI-powered search and retrieval systems.
Posted On
27-10-2026
At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
