Trilagen
Information Technology and Services
AgenticAIEngineer
“Agentic AI Engineer at Trilagen. Skills: Agentic AI Engineering, Full-stack development, Multi-cloud deployment, LLM integration, AI Security. Design and build the entire agent application (frontend, backend, AI layer). Orchestrate agent logic and manage state”
What You'll Achieve.
Build AI agents that actually work in enterprise environments; Ship agentic systems into production cloud environments; Leave behind infrastructure clients can operate and extend; Scale the practice
Industry & Context.
Solve problems related to agent systems breaking in production; Optimize cost/latency across long-running agent workflows; Implement retry and failure recovery strategies
What They're Looking For.
Must Have
4+ years of software engineering experience, 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, 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
What You'll Do.
Design and build the entire agent application (frontend
Orchestrate agent logic and manage state
Expose clean and containerized
cloud-deployed services
Deploy production agent systems on AWS
Advise clients on multi-cloud deployment tradeoffs
Architect model-agnostic LLM integration layers
and benchmark LLM models
Design agentic systems for multi-step work
Implement tool use and function calling patterns
Implement ReAct and plan-and-execute loops
Implement agent-to-agent orchestration and handoffs
Implement human-in-the-loop checkpoints
Implement retry and failure recovery strategies
Optimize cost/latency for long-running agent workflows
Design and implement memory architectures for production agents
Implement RAG pipelines with vector databases
Implement semantic search and hybrid retrieval strategies
Build the security envelope around agent systems
Implement OAuth 2.0 / OIDC authentication flows
Manage API key lifecycles
Enforce role-based access control within agent workflows
Implement secrets management
Implement audit logging for agent actions
Implement prompt injection defense
Implement data residency controls
Run discovery sessions
Write technical design docs
Manage client expectations
Own delivery end to end
Productize Trilagen's delivery approach
How You'll Work.
Team & Collaboration
Work directly with client stakeholders; Collaborate with operations teams for service deployment; Collaborate with other engineers on agent development
Communication Scope
Translate complex requirements into working systems; Communicate technical designs and tradeoffs to clients
Process & Methodology
Own delivery end to end, Manage client expectations
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