[Remote] Backend Infrastructure & Agentic AI Platforms Engineer

Note: The job is a remote job and is open to candidates in USA. Blu Omega is seeking a Backend Infrastructure & Agentic AI Platforms Engineer to support a federal program focused on next-generation autonomous AI capabilities. This role operates within a remote environment and is responsible for building and maintaining backend infrastructure and agentic AI systems supporting ARPA-H's mission.

Responsibilities

• Own the end-to-end backend infrastructure for GRACE on Microsoft Azure, including Azure Functions, API Management, Container Apps, and Azure OpenAI Service
• Manage data storage, retrieval pipelines, vector databases, and document indexing for internal knowledge search
• Implement and maintain infrastructure as code for all environments
• Develop and manage CI/CD pipelines, deployment automation, and release processes
• Ensure monitoring, alerting, logging, distributed tracing, and incident response are in place for all systems
• Manage secrets, API keys, and credential rotation
• Track and optimize cost and token economics across LLM providers
• Develop and maintain backend implementation of MCP, including server hosting, tool registration, and versioning
• Design and evolve communication patterns for agent interoperability and external integrations
• Build and operate RAG pipelines for document ingestion, embedding, and semantic search
• Implement fallback, retry, and degradation patterns for AI service dependencies
• Manage tool-calling infrastructure, including registration, execution, and observability
• Build and maintain observability for agent workflows, including latency, throughput, and error rates
• Implement evaluation pipelines for safety, regression, and grounding assessment
• Define and enforce system-level SLOs and alerting procedures
• Establish and improve coding standards, design reviews, and testing practices
• Mentor team members and communicate technical decisions clearly
• Ensure privacy, security, and compliance in all systems and data handling Required

Skills

• 7+ years of professional software engineering experience building and operating production systems
• Proven experience in high-velocity environments with end-to-end product ownership
• Strong proficiency in Python and at least one other backend language
• Experience with distributed systems, APIs, data pipelines, and software design patterns
• Hands-on experience with Microsoft Azure: Azure Functions, API Management, Container Apps, and Azure OpenAI Service
• Experience with containerization, CI/CD, and infrastructure as code
• Knowledge of authentication and identity systems (OAuth2, OIDC, Azure Entra ID)
• Demonstrated ability to own production systems, including on-call support and incident debugging
• Experience with AI/LLM platform engineering and orchestration
• Familiarity with vector search, RAG pipelines, and semantic search infrastructure
• Strong understanding of security, privacy, and compliance standards

Benefits

• Medical, Dental, and Vision coverage through national providers
• 401(k) with company match (eligible after 6 months; vesting applies)
• Company-paid Life and AD&D insurance with additional voluntary options
• Short-term and long-term disability options
• Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
• Telehealth and virtual care options
• Pet insurance, legal services, and identity theft protection options
• Paid Time Off (PTO) and 11 paid federal holidays
• Access to wellness programs, discounts, and lifestyle benefits

Company Overview