Copilot adoption and customization, AI consulting, implementation and solutions for enterprises.
Senior AI Engineer, Agentic Systems
Location
United States
Posted
21 days ago
Salary
Not specified
Job Description
Job Requirements
- Must-have
- 5–8+ years in software/platform engineering with recent production LLM applications (not just prototypes).
- Hands-on expertise with agentic frameworks (one or more of: LangGraph/LangChain Agents, AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, Haystack Agents) and tool/function-calling patterns.
- Strong RAG engineering across vector DBs, chunking/embedding strategies, metadata/search ranking, and grounding techniques.
- Proven track record building observable, cost-aware, and secure LLM systems (tracing, evals, guardrails, secrets/IAM, PII handling).
- Solid software engineering fundamentals: Python/TypeScript, async patterns, APIs, testing, CI/CD, containerization.
- Clear communicator who can interface with clients and write crisp technical docs.
- Nice to have
- Azure-first experience (Azure OpenAI, Azure AI Studio, Azure Functions/Container Apps/AKS, Private Link/VNet, Key Vault, Entra ID).
- Cross-cloud exposure (AWS/GCP) and hybrid integrations; experience with enterprise connectors (SharePoint/OneDrive, ServiceNow, Salesforce).
- Experience with structured output, constrained decoding, JSON Schemas, and program-of-thought planning.
- Location
- Remote, US-based candidates preferred. The role may involve working across multiple time zones.
- How we work
- Ownership & velocity:
- Small team, big surface area. You’ll design, ship, and iterate quickly.
- Security by design:
- Data governance and safety are table stakes, not afterthoughts.
- Evidence over vibes:
- We measure task success, grounding, and cost—and improve with data.
- AI as leverage:
- We use LLMs to accelerate engineering—not replace it.
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