Senior AI/Agent Engineer

Closing Date:24,May 2026

Job Published: 24,Apr 2026

Contact Email: jobs@devicedriven.com

Brief Description

Position Overview
We are seeking an experienced Senior AI/Agent Engineer to build the intelligence layer for an autonomous conversational AI agent serving the travel industry. You will own the agentic framework - enabling the AI to understand user intent, execute complex multi-step workflows, and integrate with backend systems to take real actions.
This is a hands-on technical role requiring deep expertise in LLM orchestration, agentic architectures, and backend integrations. You should have proven experience building AI agents that autonomously complete tasks through tool use and function calling.
Key Responsibilities
Agentic Architecture
• Design and implement the agentic framework for autonomous task completion
• Build robust tool/function calling pipelines for backend actions
• Implement conversation state management across multi-turn interactions
• Design intelligent routing logic for handling diverse user intents
• Build escalation and human handoff mechanisms for edge cases
LLM & Conversation Intelligence
• Integrate and optimize Large Language Models for understanding and generation
• Design effective system prompts and conversation flows
• Implement intent classification and entity extraction pipelines
• Build context management for complex, multi-step workflows
• Handle ambiguity resolution, clarification, and error recovery
Backend Integrations
• Build integrations with external APIs and backend services
• Implement secure credential management for third-party systems
• Design idempotent action execution with proper error handling
• Build transaction management for multi-step operations
• Implement audit logging for all agent-initiated actions
Quality & Reliability
• Establish evaluation frameworks for agent accuracy and task completion
• Build guardrails and safety mechanisms to prevent harmful actions
• Implement conversation analytics and performance monitoring
• Design A/B testing infrastructure for prompt and flow optimization
• Analyze conversation logs to identify failure patterns and improvements

Preferred Skills

Required Qualifications
Experience
• 5+ years of software engineering experience
• 1+ years building LLM-powered applications or conversational AI
• Production experience with agentic systems or autonomous AI
• Strong background in API integrations and backend development
• Experience with complex workflow orchestration

Technical Skills

Category	Requirements
LLM Integration	OpenAI, Anthropic Claude, or open-source models; function/tool calling
Agentic Frameworks	LangChain, LangGraph, CrewAI, AutoGen, or custom agent architectures
Languages	Python (primary), TypeScript/Node.js (secondary)
APIs & Integrations	REST API design, webhook handling, third-party service integrations
Databases	PostgreSQL, Redis; vector databases (Pinecone, Weaviate, pgvector)
Orchestration	Workflow state management, multi-step transaction handling
Infrastructure	Docker, cloud platforms (AWS/GCP), message queues
Observability	LLM tracing (LangSmith, Arize), conversation analytics, logging

AI & Productivity Skills
• Deep understanding of prompt engineering and LLM behavior
• Active user of AI-assisted development tools (Claude, Copilot, Cursor)
• Experience evaluating and benchmarking LLM performance
• Familiarity with AI safety and responsible AI practices
Preferred Qualifications
• Experience with customer service or support automation
• Background in conversational AI platforms (Dialogflow, Rasa, Amazon Lex)
• Experience with Retrieval-Augmented Generation (RAG) systems
• Knowledge of fine-tuning or training custom models
• Experience with multi-agent systems and agent collaboration
• Understanding of compliance requirements for automated actions
• Experience with real-time systems and streaming LLM responses
• Background in workflow automation or BPM systems
Technical Context
You will be building the intelligence layer for a conversational AI system that: - Autonomously handles complex user requests through multi-step workflows - Executes real actions via integrations with backend services - Manages conversation context across extended interactions - Receives voice input from a real-time voice layer (built by Voice AI Engineer) - Must achieve high accuracy and reliability for production use
Soft Skills
• Systems Thinking: Design robust architectures for autonomous AI
• User Focus: Ensure agent actions align with user intent and expectations
• Problem Solving: Debug complex issues across LLM, logic, and integration layers
• Collaboration: Work closely with Voice AI engineer on seamless integration
• Judgment: Make sound decisions about agent autonomy vs. human escalation
Application Process
Interested candidates should provide: 1. Updated resume highlighting AI/LLM and agentic systems experience 2. Examples of autonomous AI agents or LLM applications you have built 3. Description of how you approached tool use and action execution 4. Current and expected compensation