Soho Square SolutionsRemote
AI Solution Software Engineer
United States of America
Full Time
1 week ago
H1B Sponsor Likely
Key skills
TypeScriptPythonC#CAIMLNLPGenAIOpenAIClaudeRAGAzureIAMAzure FunctionsRESTfulGitHubCI/CD
About this role
Soho Square Solutions is seeking an AI Solution Software Engineer responsible for designing, building, and deploying AI-native enterprise software platforms. This role involves full-stack engineering and AI application architecture to transform business workflows and deliver measurable business impact.
Responsibilities:
- Architect and develop AI-enabled applications leveraging LLMs, ML models, GenAI, RAG/GraphRAG, and NLP/NLM techniques
- Build full-stack web applications integrated with Azure AI services, ensuring secure, scalable, and resilient solutions
- Design and implement secure and managed data connectors and integrations for AI applications
- Ensure security, compliance, and stability of our AI solutions working in conjunction with cyber security, risk, and IAM teams
- Document architecture, workflows, and best practices; contribute to internal learning and knowledge sharing
- Ensure production readiness: scalability, resiliency, monitoring, and operational handoff to IT and Support teams
Requirements:
- 8+ years in software engineering, with at least 3 years in applied AI solution delivery
- Proven experience with Azure AI platform (OpenAI, AI Studio/Foundry, Cognitive Search), Azure Functions, and Claude Code
- Strong proficiency in Python, TypeScript, and C#; experience with full-stack frameworks and RESTful APIs
- Expertise in GitHub Enterprise, GitHub Copilot, VS Code, and CI/CD pipelines
- Deep understanding of data security, governance, and compliance in enterprise environments
- Knowledge of vector databases, data science models, and UX for AI-driven applications
- Demonstrated self-learning and continuous upskilling in AI tools, models, and capabilities
- Bachelor's or Master's degree in Computer Science or related field (or equivalent experience)
- Experience in knowledge-engineering and working with domain experts to build software that transforms and legacy processes
- Experience working in high-compliance environments (Healthcare, Finance) and deep familiarity with security processes
- Experience leading a team / working with outsourced engineers and influencing roadmaps
- Experience with Dataverse, Fabric, and other similar technologies
- Experience developing AI solutions in financial or highly regulated industries