Senior AI Platform Engineer

Posted Yesterday
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11 Locations
Remote
Senior level
Software • Consulting
The Role
Evolve an AI platform for entity management, knowledge graphs, governance, search, and business context discovery. Design NER and entity extraction pipelines using LLMs and NLP technologies, build graph-based relationship models, improve entity resolution and retrieval, implement permission-aware access controls, integrate enterprise data sources, and develop scalable AI-powered workflows. The role also requires architecture, data modeling, stakeholder collaboration, mentoring, and validation of AI-assisted development outputs.
Summary Generated by Built In
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.

Skills Required

  • 7+ years of software engineering experience
  • Experience designing and operating data-intensive platforms in production
  • Strong expertise with Elasticsearch and/or OpenSearch
  • Experience with information retrieval systems and entity resolution techniques
  • Hands-on experience with graph databases and knowledge graphs, including Neo4j and Cypher
  • Experience building Applied NLP and NER solutions using Gemma, Llama, GLiNER, spaCy, or LLM-based extraction
  • Experience with PostgreSQL, Kubernetes, and Datadog or similar observability tools
  • Experience ingesting, synchronizing, and managing data from multiple source systems
  • Advanced architecture and data modeling capabilities
  • Experience modeling complex business domains and relationships
  • Practical experience with AI-assisted development tools and agentic workflows
  • Ability to evaluate and validate AI-generated outputs using engineering judgment
  • Experience implementing permission-aware data access and security controls
  • Excellent verbal and written communication skills
  • Advanced English proficiency
  • Experience in Oil and Gas, Energy, Utilities, Mining, or other asset-intensive industries
  • Exposure to 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

Encora Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.

  • Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
  • Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
  • Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.

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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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