Job Title: Senior AI Data Engineer
Key Skills: Data Engineering, Elasticsearch, OpenSearch, Knowledge Graphs, Neo4j, NLP, NER, LLMs, PostgreSQL, Kubernetes, AI-Assisted Development
Experience: 7+ years
Location: Costa Rica, Peru, Colombia, Bolivia
Work Mode: Remote
At Coforge, we are hiring Senior AI Data Engineer (#006fu00000eClH3AAK-2) with the following skill set.
Key Responsibilities
Evolve and enhance the core platform for entity management and governance, including entity types, attributes, cross-references (XREFs), and relationships.
Build and improve Named Entity Recognition (NER) pipelines for text and files by combining LLM-based models, gazetteers, pattern matching, and blacklists.
Extend NER capabilities to new content types, including live-stream content.
Improve search and entity discovery through entity resolution, personalized search, filtering, and relationship navigation.
Design and query graph-based relationship models to support traversal, visualization, and connected business context.
Implement entity-level security and access controls across data retrieval and exploration.
Onboard new data sources and support integrations with consuming applications.
Translate business requirements into technical solutions and AI workflows, critically validating AI-generated code and designs.
Collaborate with stakeholders across business domains to shape and prioritize the platform roadmap.
Support team onboarding and knowledge sharing.
Required Skills & Qualifications
7+ years of software engineering experience, including building or managing data-intensive platforms in production.
Experience with search platforms such as Elasticsearch or OpenSearch, information retrieval, and entity resolution.
Knowledge of graph databases and knowledge graphs, such as Neo4j and Cypher.
Applied NLP and NER experience, including LLM-based extraction and open-source models such as Gemma, Llama, GLiNER, or spaCy.
Experience with PostgreSQL, Kubernetes, and observability tools such as Datadog.
Experience with data ingestion and synchronization from multiple source systems.
Strong systems thinking, architecture, and data modeling skills, with experience modeling complex business domains.
Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, Claude, ChatGPT, and agentic workflows.
Ability to critically evaluate, validate, and correct AI-generated outputs using sound engineering judgment.
Excellent communication skills.
Knowledge of permission-aware data access and security filtering.
Proficiency in at least one programming language, such as Python, Java, or another language.
Preferred Skills
Experience in Oil & Gas or other asset-heavy industries.
Posted On: 06-11-2026
Coforge is an equal opportunity employer and is committed to fostering an inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Skills Required
- 7+ years of software engineering experience, including production data-intensive platforms
- Experience with Elasticsearch or OpenSearch, information retrieval, and entity resolution
- Knowledge of graph databases and knowledge graphs, including Neo4j and Cypher
- Applied NLP and NER experience, including LLM-based extraction and open-source models such as Gemma, Llama, GLiNER, or spaCy
- Experience with PostgreSQL, Kubernetes, and observability tools such as Datadog
- Experience ingesting and synchronizing data from multiple source systems
- Systems thinking, architecture, and data modeling skills for complex business domains
- Hands-on experience with AI-assisted development tools and agentic workflows
- Ability to evaluate, validate, and correct AI-generated outputs using engineering judgment
- Excellent communication skills
- Knowledge of permission-aware data access and security filtering
- Proficiency in at least one programming language, such as Python or Java
- Experience in Oil & Gas or other asset-heavy industries
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.
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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.
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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.
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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.
Encora Insights
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








