AI/ML Engineer - WISRD Platform & Tactical Edge

About CyOne

At CyOne, we are a mission-driven software company providing advanced capabilities to the U.S. Department of War and allied partners. Our flagship platform, WISRD (Wide-area ISR Discovery), empowers multi-domain situational awareness and facilitates intelligence support, enabling real-time decision-making from complex datasets. We seek an AI/ML Engineer to guide the creation of an AI-enabled assistant within our WISRD platform, working in a collaborative environment with a small engineering team.

The Role

We are looking for an ML, AI engineer to join our team!

Tech Stack

• AI
• Angular
• Backend
• Cloud
• DevOps
• Docker
• Embedded
• FastAPI
• Support
• Kubernetes
• LLM
• PostgreSQL
• Python
• REST
• Security
• TypeScript
• Machine-Learning

Requirements

• Demonstrated experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines in production environments
• Proficient in utilizing vector databases (e.g., pgvector, Qdrant, Pinecone, Weaviate)
• Strong knowledge of embeddings and semantic search methodologies
• Experience in fine-tuning Large Language Models (LLMs) (LoRA / QLoRA) using Hugging Face or similar tools
• Proficient in Python and contemporary backend frameworks (e.g., FastAPI)
• Familiarity with PostgreSQL or analogous relational databases
• Experience with REST APIs and streaming technologies
• Familiarity with Docker for containerized deployments
• Knowledge of Kubernetes and distributed systems
• Proficient in model serving frameworks (e.g., vLLM, TGI, Ollama)
• Experience in GPU-based compute environments
• A minimum of 3 years in AI/ML engineering or a related sector
• Experience in deploying AI/LLM-based systems in production
• Background in working with structured or operational data
• Capacity to work autonomously in a dynamic environment

Preferred:

• experience with hybrid search (vector + keyword retrieval)
• knowledge of model quantization techniques (GGUF, GPTQ, AWQ)
• exposure to deploying AI applications to edge or resource-limited environments
• familiarity with Cloudera ML or similar enterprise solutions
• experience in ISR systems, geospatial data, or mission command environments
• background in the Department of Defense, intelligence community, or regulated settings
• familiarity with Angular or TypeScript
• active Department of Defense security clearance

Responsibilities

• Lead the design and implementation of AI capabilities that allow users to query ISR data, generate insights, and activate mission workflows using natural language
• Develop and sustain Retrieval-Augmented Generation (RAG) pipelines grounded in both structured and unstructured operational data
• Optimize vector search, embedding pipelines, and hybrid retrieval strategies to ensure precise and dependable outputs
• Create and manage a provider-agnostic LLM integration layer facilitating both enterprise AI services and self-hosted models
• Engineer AI systems capable of functioning efficiently in disconnected, degraded, intermittent, and low-bandwidth (DDIL) environments
• Spearhead model selection, fine-tuning (LoRA/QLoRA), and assessment employing domain-specific datasets
• Develop AI backend services and APIs, covering orchestration, context management, and intent parsing
• Integrate AI functionalities within the WISRD platform to enable real-time user engagement and workflow automation
• Establish MLOps pipelines, oversee model performance (including accuracy, latency, and cost), and drive ongoing enhancements of system quality
• Ensure that AI solutions adhere to security standards, data handling protocols, and multi-enclave operational guidelines

Benefits & Perks

• medical coverage
• dental coverage
• vision coverage
• opportunities for professional growth and advancement