AI Technology Partners · 1 month ago
Senior AI Engineer, Agentic Systems
United States
Full-time
Remote
Senior Level
5+ years expAI Technology Partners (AITP) is a leader in delivering cutting-edge generative AI solutions and managed services, specializing in secure, customizable AI deployments for enterprises. In this role, you’ll lead the design and delivery of agentic systems that orchestrate tools, data, and policies to solve real business workflows—safely, reliably, and at scale.
Information TechnologyProfessional ServicesSoftware
Responsibilities
Design multi-agent architectures with robust state management, memory, and routing
Choose and implement leading frameworks such as LangGraph/LangChain Agents, Microsoft AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, or Haystack Agents—and justify trade-offs
Build modular components (planners, tool registries, policy guards, evaluators) that are reusable across clients and domains
Integrate enterprise tools and data sources via function/tool calling, webhooks, and event-driven flows (Queues/Service Bus/Functions)
Implement retrieval-augmented generation (RAG) patterns with vector stores (Azure AI Search, pgvector, MongoDB Atlas, Pinecone, Weaviate, Milvus) and structured knowledge (SQL/Graph)
Add deterministic fallbacks, circuit breakers, and caching to keep latency and cost predictable
Define SLIs/SLOs for agent runs; implement tracing, metrics, and logging (e.g., Langfuse + OpenTelemetry) and build dashboards for run-level analytics
Create evaluation harnesses (automatic + human-in-the-loop) using tools such as Ragas, DeepEval, promptfoo to measure groundedness, task success, safety, and cost
Productionize with CI/CD, environment promotion, feature flags, and canary strategies; optimize cost-per-task and time-to-success
Enforce content and safety policies (redaction, classification, guardrails) with policy-as-code; implement role/tenant isolation and data minimization
Collaborate with security teams to align to ISO 27001/SOC 2/NIST/HIPAA/GDPR contexts; deliver audit-ready evidence for agentic workflows
Build privacy-first patterns (no data exfiltration by default, least-privilege tool access, secure prompt/trace storage)
Work directly with enterprise client teams to translate business processes into agentic designs; present trade-offs and proofs-of-value that lead to production
Partner with solution leads to create domain-specific agents (e.g., RFP assist, incident RCA drafting, knowledge ops) and reusable templates
Qualification
Required
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
Preferred
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
Benefits
Challenging work on meaningful, production agentic systems for enterprise clients.
Learning & sharing culture with deep dives, brown bags, and support for certifications/publication.
Inclusive, flexible workplace—bring your whole self; work where you do your best thinking.
Company
AI Technology Partners
AI solutions and consulting
11-50 employees
Funding
Current Stage
Early StageLeadership Team
John Treadway
CEO and co-founder
Company data provided by crunchbase