Senior AI Engineer, Agentic Systems

This is a remote position.

Senior AI Engineer, Agentic Systems

Employment type: FullTime (Permanent) or Contract (40 hrsweek)

Location: Remote (U.S. preferred).

Why AITP Why this role

At AI Technology Partners (AITP), we empower enterprises to scale revenue & profit —with secure, compliant generative AI solutions.

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. If you like greenfield architecture, fast iteration, and measurable impact with enterprise clients, this is your playground.

What you’ll do

Architecture & System Design (Agentic)

· Design multiagent architectures with robust state management, memory, and routing.

· Choose and implement leading frameworks such as LangGraphLangChain Agents, Microsoft AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, or Haystack Agents—and justify tradeoffs.

· Build modular components (planners, tool registries, policy guards, evaluators) that are reusable across clients and domains.

Tooling & Orchestration

· Integrate enterprise tools and data sources via functiontool calling, webhooks, and eventdriven flows (QueuesService BusFunctions).

· Implement retrievalaugmented generation (RAG) patterns with vector stores (Azure AI Search, pgvector, MongoDB Atlas, Pinecone, Weaviate, Milvus) and structured knowledge (SQLGraph).

· Add deterministic fallbacks, circuit breakers, and caching to keep latency and cost predictable.

Reliability, Observability & MLOps

· Define SLIsSLOs for agent runs; implement tracing, metrics, and logging (e.g., Langfuse + OpenTelemetry) and build dashboards for runlevel analytics.

· Create evaluation harnesses (automatic + humanintheloop) using tools such as Ragas, DeepEval, promptfoo to measure groundedness, task success, safety, and cost.

· Productionize with CICD, environment promotion, feature flags, and canary strategies; optimize costpertask and timetosuccess.

Safety, Security & Governance

· Enforce content and safety policies (redaction, classification, guardrails) with policyascode; implement roletenant isolation and data minimization.

· Collaborate with security teams to align to ISO 27001SOC 2NISTHIPAAGDPR contexts; deliver auditready evidence for agentic workflows.

· Build privacyfirst patterns (no data exfiltration by default, leastprivilege tool access, secure prompttrace storage).

Product & Client Impact

· Work directly with enterprise client teams to translate business processes into agentic designs; present tradeoffs and proofsofvalue that lead to production.

· Partner with solution leads to create domainspecific agents (e.g., RFP assist, incident RCA drafting, knowledge ops) and reusable templates.

Requirements

Musthave

· 5–8+ years in softwareplatform engineering with recent production LLM applications (not just prototypes).

· Handson expertise with agentic frameworks (one or more of: LangGraphLangChain Agents, AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, Haystack Agents) and toolfunctioncalling patterns.

· Strong RAG engineering across vector DBs, chunkingembedding strategies, metadatasearch ranking, and grounding techniques.

· Proven track record building observable, costaware, and secure LLM systems (tracing, evals, guardrails, secretsIAM, PII handling).

· Solid software engineering fundamentals: PythonTypeScript, async patterns, APIs, testing, CICD, containerization.

· Clear communicator who can interface with clients and write crisp technical docs.

Nice to have

· Azurefirst experience (Azure OpenAI, Azure AI Studio, Azure FunctionsContainer AppsAKS, Private LinkVNet, Key Vault, Entra ID).

· Crosscloud exposure (AWSGCP) and hybrid integrations; experience with enterprise connectors (SharePointOneDrive, ServiceNow, Salesforce).

· Experience with structured output, constrained decoding, JSON Schemas, and programofthought planning.

Benefits

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.

Compensation

· Competitive salary or hourly rate, commensurate with experience and engagement model.

What we offer

· Challenging work on meaningful, production agentic systems for enterprise clients.

· Learning & sharing culture with deep dives, brown bags, and support for certificationspublication.

· Inclusive, flexible workplace—bring your whole self; work where you do your best thinking.

Apply

Send your resume and a brief note (or links) highlighting a production LLMagentic system you built: what it did, how you measured success, and what you’d improve next.

AI Technology Partners is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.