AI Engineer

Trilagen

AI Engineer responsible for developing production-ready enterprise AI agents and systems in cloud environments. Leading technical architecture and collaborating with stakeholders on client engagements.

Posted 5/10/2026full-timeBethesda • Maryland, New York, Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudFlaskJavaScriptNext.jsPythonReact

About the role

Key responsibilities & impact

We build AI agents that actually work in enterprise environments — not prototypes, not demos.
Engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that are model-agnostic and built to last.
Deployed on client engagements as the lead technical architect and builder of agentic systems running in AWS, OCI, and Azure.
Work directly with client stakeholders, translate complex requirements into working systems, and leave behind infrastructure clients can operate and extend.
Help Trilagen productize our delivery approach as we scale the practice.
Design and build the entire application — not just the AI layer.
Own the repo, the CI/CD pipeline, the deployment, and the runbook.
Understand tradeoffs between platforms and advise clients on where to run what and why.
Deep, hands-on experience with leading LLM providers and their APIs.
Architect model-agnostic integration layers.
Design systems that do real multi-step work: tool use and function calling patterns, agent-to-agent orchestration and handoffs.
Build the security envelope around every agent system you ship.

Requirements

What you’ll need

4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or agentic applications in production cloud environments
Hands-on depth with at least two of the three major LLM providers: Anthropic Claude, OpenAI, and Google Gemini — at the API level, not just via wrappers
Full-stack proficiency: Python (FastAPI, Flask, or similar) backend, React or Next.js frontend, REST and WebSocket API design
Production experience on at least two of: AWS, Azure, OCI — with real deployments, not sandbox accounts
Demonstrated ability to design and implement agent memory and retrieval systems using vector databases and RAG
Strong command of AI security practices: auth, RBAC, secrets management, audit logging, and prompt-level safeguards
Consulting DNA — you can run a discovery session, write a technical design doc, manage client expectations, and own delivery end to end
Nice to have
Experience with all three LLM providers (Anthropic, OpenAI, Gemini) and model-agnostic orchestration patterns
Okta and/or SailPoint ISC integration experience
Cloud certifications: AWS Solutions Architect, Azure Solutions Architect, OCI Architect

Benefits

Comp & perks

401K
Health Insurance
Dental Insurance
Paid Time Off
Paid Sick Leave

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringLLM-powered applicationsagentic applicationsPythonFastAPIFlaskReactNext.jsREST APIWebSocket API

Soft Skills

client stakeholder managementtechnical design documentationdiscovery session facilitationexpectation managementend-to-end delivery ownership

Certifications

AWS Solutions ArchitectAzure Solutions ArchitectOCI Architect