Applied AI + NLP Engineer

Help define and implement semantic models and metadata that enable LLMs and AI agents to reason consistently over operational, business, and legal data.

Improve intent recognition, query planning, and ambiguity resolution to deliver accurate, consistent responses—even when user requests are incomplete or underspecified.

Develop AI agents capable of accessing, interpreting, and synthesizing structured data and legal content to answer complex business questions.

Build orchestration logic that intelligently selects the appropriate data sources, models, tools, and workflows for each request.

Implement guardrails that ensure AI responses align with governed business definitions, semantic models, and firm conventions.

Build evaluation frameworks, benchmark datasets, and automated tests that continuously improve answer quality, determinism, and reliability.

Collaborate with Data Engineering to expose governed metrics, dimensions, relationships, and business logic for AI consumption.

Document Intelligence & Knowledge Extraction

Design and build AI pipelines that transform complex legal documents into structured, machine-understandable data.

Help design and evolve legal data models that capture the key concepts, relationships, and business meaning contained within legal documents.

Develop techniques to identify legal concepts, obligations, timelines, financial terms, parties, and other domain-specific information that populate and enrich those data models.

Design confidence scoring, validation, and human review workflows that improve extraction quality and support continuous model refinement.

AI Platform Evolution

Optimize AI workflows for quality, latency, scalability, and cost across the platform.

Partner closely with Product, Data Engineering, and legal domain experts to translate customer needs into production AI capabilities.

Stay current with advances in applied AI, LLMs, and agentic systems, bringing practical innovations into production where they create measurable customer value.

What Success Looks Like: 30-60-90 Days

First 30 Days | Learn and Contribute

Ramp on the platform, semantic layer, and current AI capabilities and evaluation approach.

Help create or improve a natural-language query or retrieval flow.

By 60 Days | Build and Improve

Own an end-to-end AI capability, including its evaluation harness and quality metrics.

Deliver the initial design framework for deconstructed legal documents.

Measurably improve answer accuracy or reliability on a defined test set.

By 90 Days | Own and Lead

Deliver production AI features with strong, measured quality and guardrails.

Set a technical direction for a piece of the AI roadmap and drive it forward.

Establish yourself as a trusted technical partner who can independently design, buils and improve AI capabilities across the Entegrata platform.

Required Qualifications

5+ years of software engineering, with hands-on experience building applied AI, NLP, or ML features in production.

Practical experience with LLMs: prompting, retrieval-augmented generation, agents, and tool use.

Experience with information extraction, document parsing, classification or named entity recognition.

Strong evaluation mindset: building test sets and measuring model and system quality.

Solid SQL and understanding of structured data and semantic layers.

Proficiency in Python and one of Go, .NET, or Node.js.

Focus on accuracy, safety, and reliability in customer-facing AI.

Preferred Qualifications

Experience with natural-language-to-SQL or query generation over governed data.

Familiarity with data lakehouse or BI platforms (Databricks, Snowflake, or Microsoft Fabric).

Experience with vector / semantic search, embeddings, reranking and hybrid retrieval.

Experience building pipelines and processing approaches for long-form or highly structured documents.

Legal, finance, or professional services domain exposure.

Technology Stack

Python, LLM tooling, RAG, vector search, SQL, Azure, Go/.NET/Node.js.

Compensation and Benefits

Competitive salary, medical, dental, and vision insurance, 401(k) with employer match, unlimited PTO and company holidays, professional development support, and flexible remote work.

Equal Opportunity

Entegrata is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic.