Senior AI Engineer, Agentic Systems
At a glance
Senior AI Engineering role at Aitp. Remote, United States · full-time · no salary stated · we estimate $161,745–$225,300 across the United States.
Aitp has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Design multi-agent systems that manage memory, state and routing, then build reusable planning and policy components
- Connect agents to enterprise tools and data, adding retrieval and safeguards that keep cost and latency predictable
- Set up run tracing, dashboards and automated or human reviews to assess task success, grounding, safety and cost
- Ship production systems through CI/CD, staged releases and feature controls while improving cost per task and speed
- Turn client workflows into agent designs, explain trade-offs and develop reusable domain-specific templates
What you bring
- At least five years in software or platform engineering, including recent production LLM applications
- Hands-on work with an agent framework and tool or function calling in deployed systems
- Strong RAG skills across vector databases, chunking, embeddings, ranking and grounding methods
- Experience building observable, secure LLM systems with evaluations, guardrails, secrets management and PII handling
- Solid Python or TypeScript engineering, including asynchronous code, APIs, testing, CI/CD and containers
Who this fits
This senior role suits an engineer who can take agentic systems from architecture through production and work directly with enterprise clients. The position is remote, with US-based candidates preferred, and may require collaboration across time zones.
From the employer
AI Technology Partners (AITP) is a leader in delivering cutting-edge generative AI solutions and managed services, specializing in secure, customizable AI deployments for enterprises. Our offerings are designed to help organizations unlock the full value of AI while maintaining robust security and compliance across their infrastructures.
About the 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 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.
Tooling & Orchestration
- 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.
Reliability, Observability & MLOps
- 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.
Safety, Security & Governance
- 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).
Product & Client Impact
- 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.
Qualifications
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.
Compensation
- We offer a competitive and flexible compensation package aligned to experience, scope, and engagement model. This may include base salary, performance incentives, and equity participation, designed to reward meaningful contributions and impact.
What we offer
- 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.
How to Apply
Interested candidates are encouraged to submit their resumes and a brief cover letter outlining relevant experience and why they are a good fit for this role.
Equal Opportunity Statement
AI Technology Partners is committed to equal employment opportunity in all practices and reaffirms that there shall be no unlawful discrimination against any employee or applicant for employment on the grounds of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.