Senior AI Engineer, Agentic Systems
New
US-based working arrangements, cross-time-zone collaborationFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5–8+ years
- Required Skills
- PythonTypeScriptAzureCI/CDLangChain
Requirements
- 5–8+ years of experience in software engineering or platform engineering.
- Recent hands-on experience building production LLM or AI systems.
- Strong experience with agentic frameworks such as LangGraph, LangChain Agents, AutoGen, CrewAI, or equivalent.
- Deep understanding of RAG architectures including embedding strategies, vector databases, chunking, and grounding.
- Proven ability to build observable, secure, and cost-efficient AI systems.
- Strong software engineering fundamentals in Python or TypeScript, including async programming and distributed system design.
- Experience implementing evaluation, monitoring, and observability systems for AI workflows.
- Familiarity with enterprise security, privacy, and compliance requirements.
- Strong communication skills with the ability to work directly with clients.
- Experience with Azure or other cloud platforms and containerized deployment environments.
Responsibilities
- Design and implement multi-agent architectures with robust state management, memory systems, routing logic, and modular components.
- Evaluate and apply agentic frameworks such as LangGraph, LangChain Agents, AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, or Haystack.
- Build and optimize retrieval-augmented generation (RAG) pipelines using vector databases and structured knowledge sources.
- Integrate enterprise systems and data sources through APIs, function calling, event-driven architectures, and workflow orchestration tools.
- Define and enforce reliability standards including SLIs/SLOs, observability, tracing, logging, and performance monitoring for agentic workflows.
- Develop evaluation frameworks using automated and human-in-the-loop methods.
- Implement CI/CD pipelines, canary deployments, feature flags, and environment promotion strategies for production AI systems.
- Enforce safety, privacy, and governance policies including data minimization, access control, redaction, and auditability.
- Collaborate directly with enterprise clients to translate business processes into production-grade AI systems.
View Full Description & ApplyYou'll be redirected to the employer's site
