Continuum Solutions · 4 hours ago
Senior Software Engineer (.NET/C#) – AI Platform & Enterprise Integrations
Continuum Solutions is focused on developing an enterprise AI platform that enhances AI adoption across organizations. They are seeking a Senior Software Engineer who specializes in .NET/C# to design and deliver platform services and enterprise integrations that support AI systems in complex environments.
Responsibilities
Design and implement scalable architectures that support agentic AI workflows across cloud, on-prem, and hybrid environments
Build and harden backend services/APIs in C# / .NET that enable AI-driven product capabilities
Enhance platform components that support memory/state patterns (e.g., temporary/short-term/long-term/feedback loops) and durable workflow state
Implement and refine guardrails and governance patterns aligned with enterprise security needs
Optimize system performance to support rapid proof-of-concept delivery (weeks, not months)
Create robust integration pipelines connecting fragmented enterprise systems and legacy software
Work across heterogeneous data sources and interfaces (SQL/NoSQL, APIs, and common enterprise file formats such as CSV/JSON/XML; industry formats a plus)
Support operational intelligence use cases that require timely, reliable data movement and processing
Collaborate with agentic AI tools/assistants to accelerate development workflows
Direct and validate agent output (requirements breakdowns, code generation support, test scaffolding, documentation), ensuring correctness and production readiness
Help shape how agentic workflows are used safely and effectively within engineering standards
Lead technical discovery and design sessions to translate business problems into deployable solutions
Establish best practices for system design, testing, deployment, and operational readiness
Mentor engineers and help build a high-standards engineering culture
Architect solutions that scale from single use cases to enterprise-wide deployment
Qualification
Required
5+ years in software engineering/architecture with significant ownership of production systems
Deep, hands-on expertise with C# / .NET (backend/platform engineering) — this is the most important qualifier
Strong experience designing scalable services, APIs, and integration-heavy systems
Proven experience integrating across heterogeneous environments (databases, APIs, file formats, legacy systems)
Familiarity with cloud environments and modern deployment patterns (containers/orchestration strongly preferred)
Excellent communication skills and comfort working directly with stakeholders/customers
Willingness to work with and direct agentic AI tools/agents as part of day-to-day delivery (you don't need to be an AI expert)
Preferred
Experience supporting AI-enabled products (e.g., integrating LLM-powered capabilities via services/APIs, orchestration workflows, reliability patterns)
Exposure to Python and modern AI/ML ecosystems (helpful, not required)
Experience with on-prem and air-gapped deployments
Familiarity with security/compliance needs (e.g., SOC 2, HIPAA)
Background in energy, industrial, or financial services environments
Real-time/streaming or near-real-time processing familiarity