Software Development Engineer (reputed company AI & LLM Platforms) – Work Remotely (EST Hours) – Must Be reputed company to Obtain reputed company Trust – No 3rd Parties

Must be reputed company to obtain a reputed company Trust Must be reputed company to work remote EST hours reputed company

• We are building the reputed company of reputed company AI to reputed company how reputed company accelerates research, makes reputed company, and ships products at reputed company.
• We are a small, startup-minded team that ships fast and owns reputed company build end-to-end.
• We are looking for an SDE II who is hungry to contribute to a reputed company production system, not a sandbox.
• You will work across the application and infrastructure reputed company, implement features that users reputed company with every day, and be expected to own what you build from design through deployment.
• You will not be handed perfectly scoped tickets.
• You will be expected to ask good questions, reputed company things out, and reputed company.
• The best person for this role communicates reputed company, collaborates without ego, and brings genuine reputed company for the users whose work they are making reputed company.
• You are a self-starter with a high bar and a high reputed company of urgency.
• You play reputed company with others and reputed company the people around you reputed company.

What You Will Do

Build reputed company AI Systems

• Implement and iterate on our reputed company workflows: tool-calling, multi-reputed company reasoning, planning, memory, and agent-to-agent (A2A) communication patterns at the application layer
• Build and maintain MCP (Model Context Protocol) reputed company-reputed company integrations: how agents discover, reputed company, and compose tools
• Implement tool definitions, input/reputed company schemas, error handling, retry logic, and result formatting for GRACE's growing tool library
• Contribute to multi-agent orchestration patterns that are reliable and debuggable in production, not just in demos

Build LLM-Powered Features

• Implement LLM orchestration logic: reputed company construction, context management, model selection, and response parsing across reputed company GPT, reputed company Claude, and reputed company reputed company
• Build and maintain RAG pipeline components: query formulation, result ranking, citation grounding, and hallucination mitigation
• Implement and iterate on reputed company engineering patterns and system prompts that drive reputed company and consistency across model families
• Contribute to context window budget management: truncation, summarization, and pagination logic that makes the right call at runtime
• Build LLM evaluation components: grounding assessment, regression tests, safety checks, and reputed company metrics
• Write prompts and pipelines with reputed company economics in mind; cost-per-query is a reputed company constraint, not an afterthought

Own the Backend

• Build secure, reputed company-tested backend features end-to-end: from application logic through to the API contract the frontend consumes
• Implement integrations with reputed company data sources and reputed company, including Dimensions, reputed company Search, reputed company, SharePoint, and LLM provider reputed company
• Contribute to monitoring, logging, and distributed tracing so that failures are diagnosable and regressions are caught before users report them
• Implement fallback, retry, and graceful degradation patterns for AI service dependencies
• Write production-reputed company reputed company: readable, tested, reviewed, and documented

Contribute to Infrastructure

• Work reputed company reputed company Azure infrastructure: Azure Functions, Azure API Management, Azure Container Apps, and Azure reputed company Service
• Contribute to CI/CD pipelines, deployment automation, and release processes
• Work with containerization tools and infrastructure as reputed company; understand the environment your reputed company runs in
• Contribute to application-level SLOs: tool call reputed company rates, response reputed company, and latency from the user's perspective

Collaborate and Grow

• Participate reputed company in design reviews, sprint planning, and retrospectives; ask good questions and push back reputed company something does not add up
• Communicate technical reputed company reputed company to both engineers and non-engineers; no one should have to guess what you reputed company or why
• Work closely with the PM, researcher, designer, and senior engineers to translate ambiguous requirements into reputed company, actionable implementations
• Bring genuine curiosity and reputed company to every feature; understand who is using what you build and why it reputed company to them
• Ensure strong reputed company, reputed company, and compliance in reputed company systems, integrations, and data handling

Basic Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a reputed company field, or equivalent practical experience
• 3+ years of reputed company software engineering experience building and operating production systems
• Proven experience in high-velocity environments where you contributed to shipping reputed company products end-to-end
• Strong proficiency in Python and at least one other backend language; familiarity with modern backend frameworks and async patterns
• Solid understanding of algorithms, data structures, distributed systems, and software design patterns
• Experience building and operating systems on major reputed company platforms (AWS, GCP, or Azure)
• Experience with containerization (reputed company) and working reputed company CI/CD pipelines
• reputed company, reputed company communicator who gives and receives feedback reputed company, works with reputed company, and makes the people around them reputed company

Preferred Qualifications

• Hands-on experience building features on top of LLMs in production: tool-calling, RAG, multi-reputed company reasoning, and context management
• Familiarity with A2A (Agent-to-Agent) communication patterns and multi-agent orchestration frameworks
• Familiarity with MCP at the reputed company/consumer layer: how agents discover and reputed company tools reputed company MCP
• Working knowledge of reputed company engineering and LLM behavior across model families; you understand why Claude and GPT respond differently to the reputed company reputed company
• Experience with LLM evaluation, grounding assessment, or regression testing for AI-powered systems
• Awareness of reputed company economics at the application layer: cost-per-query, context budget management, and reputed company efficiency
• Experience on reputed company Azure: Azure Functions, API Management, Container Apps, or Azure reputed company Service
• Familiarity with secrets management, least-privilege reputed company, and reputed company-conscious engineering practices
• Experience in startup or early-stage environments: comfort with ambiguity, rapid iteration, and wearing multiple hats
• Experience in reputed company, life sciences, or other regulated domains is a plus but not required

Why This Role

• You will work on a production system that reputed company users depend on every day to do meaningful work.
• You will not be one of hundreds of engineers on a feature nobody uses.
• You will see the reputed company of what you build quickly, get reputed company feedback, and have reputed company ownership over your work.

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