Senior AI Engineer, Agentic Systems
New
A
AI Technology PartnersGenerative AI
Remote, US-based candidates preferred., The role may involve working across multiple time zones.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5–8+ years in software/platform engineering with recent production LLM applications
- Required Skills
- PythonTypeScriptCI/CDLangChain
Requirements
- 5–8+ years in software/platform engineering with recent production LLM applications.
- Hands-on expertise with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, LlamaIndex, Semantic Kernel, Haystack).
- Strong RAG engineering experience across vector databases, chunking strategies, and grounding techniques.
- Proven track record building observable, cost-aware, and secure LLM systems.
- Solid software engineering fundamentals: Python or TypeScript proficiency.
- Experience with async patterns, APIs, testing, CI/CD, and containerization.
- Ability to write crisp technical documentation.
- Excellent communication skills for interfacing with clients.
- Familiarity with Azure services (Azure OpenAI, Azure AI Studio, Azure Functions) is a plus.
- Knowledge of structured output, constrained decoding, and program-of-thought planning is preferred.
Responsibilities
- Design multi-agent architectures with robust state management, memory, and routing.
- Choose and implement leading agentic frameworks and justify design trade-offs.
- Integrate enterprise tools and data sources via function calling, webhooks, and event-driven flows.
- Implement retrieval-augmented generation (RAG) patterns using various vector stores and structured knowledge.
- Define SLIs/SLOs and implement tracing, metrics, and logging to ensure system reliability.
- Create evaluation harnesses to measure groundedness, task success, safety, and cost.
- Productionize systems with CI/CD, environment promotion, feature flags, and canary strategies.
- Enforce safety, security, and governance policies including role/tenant isolation and data minimization.
- Collaborate with enterprise clients to translate business processes into agentic designs.
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