Software Engineer

Software EngineerAll Current has passionately created solutions for our electrical distributor partners since 1981. From an extensive inventory of ready-to-ship electrical products to UL certified assembled equipment, we provide electrical solutions to satisfy the most demanding requirements of the electrical construction industry. All Current is headquartered in Moorestown, New Jersey with distribution and assembly facilities strategically located across the U.S. We seek team members to come grow with us! Pay Range: $79,900.00 to $97,300.00Job SummaryAll Current - Software Engineer, AI Platform Hands-on individual contributorWe're looking for a hands-on software engineer to design, build, and operate production applications and integrations powered by large language models (LLMs). You'll own the full lifecycle agentic architecture, integration design, secure deployment, and monitoring on Azure, and be the technical owner of how we build with LLMs: tool use, structured outputs, cost/latency tradeoffs, and increasingly multi-agent and Model Context Protocol (MCP)–based systems that connect models to our business systems. This is a security-first role. You won't just ship features, you'll bring a rigorous, supply-chain-aware, secrets-free approach to how code gets from a laptop to production, and you'll treat every agent and integration as an identity with real permissions in a live environment. Much of the interesting work is cross-system: safely exposing and combining data across multiple business systems while enforcing strict, least-privilege data segregation.Job ResponsibilitiesBuild production applications and integrations on commercial LLM platforms, tool/function calling, structured outputs, and prompt/context optimization for cost and latency. Help govern model selection, routing, and quota across the platforms we use. Architect agentic workflows and MCP servers that connect models to internal systems through well-defined integration layers with security enforced at the integration boundary and centralized policy enforcement in front of downstream systems. Deploy and operate services on Azure (App Service, Container Apps, Functions) using Key Vault and Managed Identity for secrets and identity. Treat every Build and maintain CI/CD pipelines (GitHub Actions and/or Azure DevOps) using infrastructure-as-code (Bicep or Terraform) and OIDC-based deployment. Instrument robust observability from day one: structured audit logging of agent decisions and tool calls, cost/token telemetry. Design guardrails and human-in-the-loop escalation for high-impact or irreversible actions. Maintain secure GitHub workflows: branch protection, code scanning, Dependabot, and least-privilege automation. Apply a security-first mindset across the stack: OWASP Top 10, the OWASP Top 10 for LLM Applications (2025), the OWASP Top 10 for Agentic Applications (2026), and OWASP's MCP-server security guidance, plus SAST/DAST/SCA tooling and supply-chain hygiene (SLSA provenance, dependency integrity). Continuously improve latency, cost, and reliability, including prompt caching and model-tier selectionJob RequirementsHands-on production experience building on a major LLM platform (e.g., Anthropic Claude, OpenAI, Google Gemini, AWS Bedrock), including tool/function calling, structured output, and cost/latency optimization. This is non-negotiable. Strong backend engineering skills: C#/.NET and/or Python preferred. Strong working knowledge of Azure: App Service, Container Apps, Functions, Key Vault, Managed Identity, and foundational networking. Practical CI/CD and infrastructure-as-code: GitHub Actions and/or Azure DevOps, Bicep or Terraform, and OIDC-based (secretless) deployment pipelines. Fluency in GitHub as a security-conscious platform: Actions, branch protection, code scanning, Dependabot, and secure workflow design. Demonstrated security-first engineering practices: secrets management, OWASP (including the LLM and Agentic Top 10s), SAST/DAST/SCA tooling, and supply-chain hygiene. Comfort integrating with business systems over REST and OData-style APIs, and designing for least-privilege data access. Essential Job Function Experience building MCP servers, multi-step agentic architectures, and prompt-caching strategies. Experience integrating with enterprise ERP systems and other systems of record. Familiarity with SLSA provenance and supply-chain frameworks, and with NIST AI RMF (GenAI profile) alongside NIST 800-53, CIS Controls, and zero-trust principles. Experience with enterprise SIEM and observability/monitoring stacks. Relevant AI/LLM engineering certification (e.g., a vendor LLM-platform certification) a plus.All Current is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All Current strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex (including pregnancy), age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment. All Current complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.