AI Engineer / AI Agent Engineer — SERQ V2
Company: CodeQuery Product: SERQ V2
Experience: 2–5+ Years
Employment: Full-Time
About the Role
We are looking for an AI Engineer / AI Agent Engineer to build the AI intelligence and automation layer of SERQ V2.
The candidate must have strong hands-on experience in AI Agents, Multi-Agent Systems, and AI Orchestration and should be capable of building production-ready AI workflows based on different business use cases.
Must Have
• Strong Python development skills
• Hands-on experience with LLMs / Generative AI
• Strong knowledge of AI Agent architecture
• Multi-Agent Systems & Agent Orchestration — Mandatory
• Agent routing, delegation, handoffs and workflows
• Tool/Function Calling and API integration
• RAG, embeddings and vector databases
• Context & memory management
• Agent evaluation, guardrails and fallback mechanisms
• Experience with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, or similar
• REST APIs and backend development
• PostgreSQL / database knowledge
• Git and Docker
Role Responsibilities
• Design and build the SERQ AI Brain
• Develop specialized AI agents for CRM, Sales, Customer Support, Booking, Operations, Marketing, Analytics, etc.
• Build multi-agent orchestration based on specific business use cases.
• Integrate AI agents with SERQ APIs, database and business workflows.
• Build reliable AI automation and decision-support systems.
• Optimize AI performance, cost, latency and reliability.
• Continuously research and implement new AI technologies.
Ideal Candidate
We need a hands-on AI Product Engineer, not just a prompt engineer. The candidate should be able to think:
Business Use Case → Agent(s) → Orchestration → Tools/API → Data → Validation → Action
Candidates with real production AI-agent or multi-agent projects and a strong GitHub/portfolio will be preferred.
Priority Skill: AI Orchestration + Multi-Agent Systems