Accelerate Your Success by Working at iCatalyst
Sr. AI Developer
Requirement ID#: 2026_05_SAID
Job Type: Full Time
Location: Washington D.C. Metropolitan Area (DC, MD, VA).
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.
Company Overview
iCatalyst, 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’ve partnered with federal and commercial clients to deliver innovative products and services that drive mission success, operational efficiency, and digital transformation.
Our solutions are built on a foundation of agility, security, and scalability, guided by our CMMI ML 3 DEV framework and backed by globally recognized certifications in ISO 9001:2015 (Quality Management) and ISO/IEC 27001:2022 (Information Security). We specialize in AI-Driven Digital Transformation, Cloud and Infrastructure Modernization, Data Engineering and Advanced Analytics, Enterprise IT Modernization and Mission-Focused Program and Change Management.
We have an exciting opportunity for a Senior AI Developer to join our team on a project.
We offer a comprehensive benefits package to include medical, dental, short-term disability insurance, life insurance, free Uber rides and phone reimbursement. Other benefits include 401K, paid government holidays, and personal leave
Job Responsibilities
Some high-level duties include but are not limited to:
- Design, develop and deploy AI-powered applications using Azure AI services, including:
- Azure OpenAI Service.
- Azure AI Studio.
- Azure AI Search (vector search).
- 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.
- 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 DevOps 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).
Required Skills
- 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 frameworks such as OpenAI APIs, LangChain or Llama Index, and Hugging Face.
- Experience developing REST APIs and backend services, using frameworks such as FastAPI, Flask, or similar.
- Proficiency in data processing and manipulation using tools such as Pandas and NumPy or similar.
- Experience integrating AI capabilities into production applications.
- Familiarity with cloud-native development practices and CI/CD pipelines.
- Experience or familiarity with low-code/no-code platforms (Appian, UiPath, Pega) is a plus.
- Understanding of secure development practices and enterprise environments (NIST/FedRAMP awareness preferred).
- Strong organizational and time management skills, with the ability to prioritize tasks and deliver high-quality work in fast-paced environments.
- Excellent problem-solving skills and ability to work both independently and collaboratively with minimal supervision.
- Strong attention to detail with a focus on accuracy and quality.
- Effective communication skills, with the ability to clearly articulate technical concepts to diverse stakeholders.
- Adaptable and flexible, with ability to manage multiple priorities and work effectively across cross-functional teams.
Experience/Qualifications
- 8+ years of software development experience, with increasing focus on AI/ML solutions.
- Proven experience building and deploying AI/ML or LLM-based applications.
- Experience integrating AI into enterprise-scale systems.
- Experience with .NET/C# environments is a plus, particularly for integrating AI services into existing applications.
- Preferred Certifications:
- Microsoft Certified: Azure AI Engineer Associate.
- Microsoft Certified: Azure Data Scientist Associate.
- Other relevant AI/ML or cloud certifications preferred: Appian/Pega/UiPath Developer, AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
Education
- Position requires BS/BA degree in Computer Science, Engineering, or a related STEM field from an accredited university with 8 years of experience OR a MS/MA degree with 5 years of experience.
Contract/Customer
Federal Agency
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