Software Developer_1/Generative AI Developer

Ariel Partners • Nyc, NY

2d • Onsite

About The Position

SNAP Payment Error Rate (CAP) reduction initiative is a top-priority, agency-wide strategic effort aimed at mitigating federal oversight findings and avoiding substantial financial penalties amounting to millions of dollars. In partnership with McKinsey, the agency is leveraging artificial intelligence, Robotic Process Automation and advanced analytics to strengthen eligibility, case processing accuracy, and quality control review. This initiative will modernize error detection, introduce proactive prevention capabilities, and enhance operational decision-making through data-driven insights. The outcome is expected to reduce payment inaccuracies, accelerate case resolution, improve compliance, and increase public trust in program integrity.

Requirements

• Minimum 10 years of experience in Programming: .NET Core, C#, Python
• Minimum 5 years of experience in AI/ML/NLP: LangChain, LangGraph, LlamaIndex, NLP models, RAG vector databases, model deployment
• Minimum 7 years of experience with Database: Oracle SQL/PL-SQL, ER design, query optimization.
• Minimum 7 years of experience in Microservices & Web: REST APIs, MVC, Web API, JSON, OAuth, SSO, microservices architecture.
• Minimum 7 years of experience in Cloud & DevOps: Azure, AWS or GCP, Docker, CI/CD, API gateways, including AI-specific services like AWS Bedrock and SageMaker AI
• Minimum 10 years of experience with strong debugging, performance tuning & secure coding practices.
• Minimum 10 years of experience with demonstrated experience delivering mid-to-large scale enterprise applications and integrations.

Responsibilities

• Design and develop web applications, APIs, microservices using C#, .NET Core, REST, and modern UI frameworks.
• Fine-tuning and deploying Large Language Models (LLM) such as Claude, ChatGPT, or similar models using Amazon Web Services (AWS) Bedrock and Python frameworks
• Optimizing, designing and/or deploying Retrieval Augmented Generation (RAG) vector databases.
• Optimize database performance, manage stored procedures, and ensure data quality across Oracle and cloud data platforms.
• Deploy and monitor applications and models using CI/CD pipelines, Docker, Kubernetes, GitHub Actions, Azure DevOps, Jenkins, etc. and MLOps/LLMOps practices.
• Ensure platform security, compliance, logging, observability, and performance tuning across environments.
• Participate in requirements review, sprint planning, code reviews, release management, and documentation.
• Support production releases, perform troubleshooting, and deliver timely resolution to technical issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed