AI Developer
Listed on 2026-07-18
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job : _AIDev
Role/
Title:
AI Developer
Priority: High – Immediate Hire
Hybrid Opportunity - DC/VA. Must be able to work onsite two days a week minimum.
Clearance Requirement: Public Trust Clearance. Due to federal clearance requirements for this position, only U.S. citizens or Permanent Residents are eligible. Candidates with visa sponsorship –now or in the future– are not eligible for this clearance.
About iCatalystiCatalyst, Inc. is a next-generation technology company specializing in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML), and Robotic Process Automation (RPA). Since 2007, we have partnered with federal and commercial clients to deliver innovative, mission‑driven solutions that enhance operational efficiency, digital transformation, and business outcomes. Our solutions are built on a foundation of agility, security, and scalability, guided by our CMMI ML 3 Services and Software Development framework and backed by globally recognized certifications in ISO 9001:2015 (Quality Management) and ISO/IEC 27001:2022 (Information Security).
CoreCapabilities
- AI-Driven Digital Transformation
- Cloud and Infrastructure Modernization
- Data Engineering and Advanced Analytics
- Enterprise IT Modernization and Mission‑Focused Program and Change Management
- People at the center of everything we do
- Award‑winning culture of innovation and a friendly workplace
- Work on cutting‑edge AI and digital transformation projects
- Be part of a mission‑driven team
- Grow your career in a stable, certified, high‑performing organization
- Comprehensive benefits and wellness packages, 401K with company match, competitive pay
We are seeking an AI Developer to join our growing team in support of our federal program. This is an exciting opportunity to work on cutting‑edge technologies and contribute to impactful, mission‑critical initiatives.
Key Responsibilities- Design, develop and deploy AI‑powered applications using Azure AI services, including Azure OpenAI Service, Azure AI Studio, Azure AI Search, and Cognitive Services as applicable.
- Own the end‑to‑end development lifecycle for AI solutions, from prototyping and model development through deployment and production integration.
- Design, develop, and integrate AI‑powered capabilities using or in conjunction with low‑code/no‑code platforms (e.g., Appian, UiPath, Pega) to enable scalable automation and workflow solutions.
- Build and implement LLM‑based solutions, including Retrieval‑Augmented Generation (RAG), intelligent chatbots/copilots, and AI‑driven automation tools.
- Develop scalable backend services and APIs to support AI functionality using technologies such as Python.
- Build and maintain data pipelines for ingestion, transformation, and inference using Azure data services (e.g., Blob Storage, Data Lake).
- Apply prompt engineering, model evaluation, and optimization techniques to improve performance, accuracy, and usability of AI solutions.
- Integrate AI capabilities into existing enterprise applications, including .NET‑based systems where applicable.
- Contribute to CI/CD pipelines and deployment workflows using Azure Dev Ops or similar tools.
- Maintain lightweight technical documentation (e.g., architecture overviews, API documentation, key design decisions) to support development and knowledge sharing.
- Ensure solutions follow secure coding practices and align with applicable enterprise security guidelines (e.g., NIST, FedRAMP awareness).
- Provide support and expertise in the assigned domain.
- Collaborate with cross‑functional teams to deliver solutions.
- Ensure adherence to security, compliance, and quality standards.
- Support continuous improvement and innovation initiatives.
- Perform special projects as needed.
- Demonstrated experience delivering end‑to‑end AI/ML or LLM‑based solutions, from data ingestion and model development through deployment and production integration.
- Strong programming experience in Python with a focus on building AI/ML applications.
- Hands‑on experience building LLM‑based applications using Azure AI services (e.g., Azure OpenAI, Azure AI Studio, Azure AI Search), with familiarity in supporting tools and…
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