Engineering - Software Engineer (AI & Agentic Solutions)

Aline

14h • $100,000

About The Position

Aline is seeking a Software Engineer to build enterprise features using AI and agentic patterns within their .NET/Azure stack. This role involves hands-on product engineering to develop and ship AI-powered capabilities across Aline's product suite, utilizing tools like large language models, agent orchestration frameworks, and retrieval-augmented generation. The engineer will work alongside senior team members, have ownership of features from day one, and collaborate cross-functionally with product, QA, and customer-facing teams. The position reports into Aline's engineering organization.

Requirements

• 4–6 years of software engineering experience (or a strong recent graduate with demonstrable project, internship, or research experience at equivalent depth) — backend or full-stack, building and shipping applications.
• Proficiency in C# and .NET (ASP.NET Core, Web API, dependency injection, async patterns).
• Familiarity with Azure — App Services, Azure Functions.
• Experience using LLMs in application code — calling Azure OpenAI or Anthropic APIs, managing prompts, parsing structured responses. This can include personal projects, hackathons, or professional work.
• Solid fundamentals in SQL and relational databases — PostgreSQL, SQL Server, or similar.
• Familiarity with REST API design, JSON serialization, and service-to-service integration patterns.
• Git version control and comfort working in Agile/Scrum teams.

Nice To Haves

• Experience with an agent orchestration framework: Semantic Kernel, Claude Agent SDK, LangGraph, AutoGen, or CrewAI.
• Experience with RAG architecture — embedding models, vector search (pgvector, Azure AI Search), chunking strategies, reranking.
• Exposure to MCP (Model Context Protocol) or building typed tool interfaces for LLM agents.
• Experience building evaluation and testing pipelines for AI features — golden sets, LLM-as-judge, A/B or shadow evaluation.
• Familiarity with observability and monitoring — DataDog, Application Insights, or similar — for AI-enabled services.
• Understanding of multi-tenant SaaS architecture and data isolation patterns.
• Awareness of AI safety and compliance considerations: prompt injection mitigation, content filtering, PII handling, audit logging.
• Azure AI certifications (AI-102, AI-103) or equivalent demonstrated knowledge.
• Thinks of LLMs as a tool in the engineering stack, not the product itself, and is curious about reliability, latency, cost, and user experience.
• Willingness to work across the stack (backend services, API layers, lightweight frontend integration) and eagerness to learn.
• Clear communication skills, ability to explain technical concepts to various stakeholders.
• Self-motivated, detail-oriented, and comfortable operating in a fast-moving environment.
• Genuine interest in improving outcomes in senior care through responsible, production-grade AI.

Responsibilities

• Build AI-Powered Product Features: Design and implement AI-assisted features such as doc search, onboarding workflows, intelligent notifications, content generation, and conversational interfaces. Integrate LLM capabilities (Azure OpenAI, Anthropic Claude) into existing .NET services via API, SDK, or agent framework. Contribute to retrieval-augmented generation (RAG) pipelines using PostgreSQL, pgvector, or Azure AI Search. Write and iterate on prompts, manage context windows, and validate AI responses for production features.
• Support Agentic Workflows & Orchestration: Build multi-step agent workflows for enterprise use cases using frameworks like Semantic Kernel, Claude Agent SDK, LangGraph, or comparable tools. Learn and apply orchestration patterns including planner/executor, tool-calling, human-in-the-loop, and safe fallback chains. Build tool interfaces and APIs to connect agent capabilities to production systems. Implement state management, retry logic, and error handling for agent workflows.
• Ship Production Software: Write clean, testable C# / .NET code integrating AI capabilities into Aline's services and APIs. Work within Aline's Azure infrastructure (Azure App Services, Azure Functions). Contribute to CI/CD pipelines in GitHub for AI-enabled services. Participate in code reviews, architecture discussions, and sprint ceremonies. Build evaluation harnesses (golden test sets, regression suites, LLM-as-judge pipelines) to validate AI feature behavior. Work within Aline's AI-assisted Development Lifecycle (ADLC).
• Support Compliance & Reliability: Implement guardrails, content filtering, and input validation for AI features. Follow multi-tenant data isolation patterns to respect company and community-level data boundaries. Develop awareness of compliance requirements relevant to the senior care industry (SOC 2, HIPAA, data residency) and apply them in work.

What This Job Offers

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