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ML/AI Engineer with NLP Specialization - Founding Engineer

Company:
Helios
Location:
Manhattan, NY, 10261
Posted:
June 13, 2025
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Description:

About the job

About UsWe're a venture-backed startup building an innovative AI-driven platform called Proxi for policy professionals. Our product helps users navigate complex regulatory, legislative and emerging compliance environments through a voice-driven interface powered by our cutting-edge semantic search pipeline operating over our immense legislative and regulatory data corpus. Our team's experience spans roles across the White House, State Department, K&S Law, Microsoft and Datadog.

The RoleYou'll join our founding engineering team to enhance and scale the AI foundation that powers our competitive advantage. Working with our existing ML systems, you'll help expand our capabilities in natural language understanding, document processing, and personalized relevance with a particular focus on creating exceptional voice-driven AI interactions.

Location:New York City

Key Responsibilities

Expand our learning-to-rank system and integrated feedback mechanisms

Enhance entity recognition and classification systems for legislative texts

Advance our large-scale knowledge graphs and query operations

Optimize multi-model embedding architectures for improved semantic understanding

Extend our document enrichment pipeline for new legislative and regulatory formats

Build and refine natural voice interactions that feel human-like and intuitive

Design and implement context-aware voice agents that maintain conversational coherence

Create voice-optimized response generation systems that communicate complex information clearly

Refine personalization systems that enable our platform to learn from user interactions

Collaborate with the engineering team on AI strategy implementation

Requirements

Advanced knowledge of Python for ML development and production systems

Strong experience with LLM orchestration and prompt engineering

Experience building stateful AI agents and multi-agent systems

Scalable knowledge graph construction, indexing, and search.

Practical experience with leading LLM providers and their APIs

Strong background in NLP, particularly entity recognition and extraction

Experience with conversational AI systems and natural dialogue flows

Knowledge of voice processing technologies and speech synthesis optimization

Experience designing voice interfaces that handle complex, domain-specific vocabularies

Experience with vector embeddings and semantic search implementations

Familiarity with SQL databases and vector storage solutions

Knowledge of asynchronous programming patterns in Python

Experience with API development and data validation

Understanding of cloud infrastructure for ML deployments

Nice to Have

Experience with legislative, regulatory, compliance or legal text processing

Graph databases (e.g., Neo4j)

Background in learning-to-rank systems or relevance optimization

Knowledge of modern search technologies

Experience with real-time data processing pipelines

Background in contextual search or semantic search systems

Knowledge of voice streaming architectures and low-latency response systems

Compensation Ranges

Senior

Estimated Base Salary Range $150K – $190K • A generous equity grant will be included as part of the total compensation package for this role.

Principal

Estimated Base Salary Range $170K – $240K • A generous equity grant will be included as part of the total compensation package for this role.

Proxi is an AI-native platform that breaks away from the 'copilot' model where LLMs are merely added as features to existing technology. We act as an extension of the user and their interests, working 24/7 to perform work that would otherwise take hours.

We're not looking for passengers; we want driven innovators with a passion for NLP and a hunger to build from the ground up. If you're obsessed with pushing the boundaries of natural language understanding, document processing, and personalized relevance, and you thrive in a fast-paced, high-stakes startup environment, this is your moment. We're building a category-defining product - don't just apply; make your mark.

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