AI Agent Engineer

⭐️ AI Agent Engineer (LangGraph + LLM Orchestration + Integrations)
 
 Location: Remote 
 
 Company: DeepSense (Next-gen AI ecosystem)
 
 Role: Build the first production AI Agent (Recruiter Agent) that evolves into our internal Jarvis platform.
 
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 🚀 About the Role
 
 We are building an internal AI platform (Jarvis) that will automate entire business functions using autonomous agents, structured memory, tool execution, and deep system integrations.
 
 Your first mission: build a production-grade Recruitment AI Agent that automates intake, screening, interviews, candidate evaluations, and pipeline operations.
 
 This agent will become a core reusable module of our future Jarvis architecture.
 
 You will work directly with the CEO and our core engineering team.
 
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 🎯 What You’ll Build
 • A multi-step agent using LangGraph + OpenAI Operator
 • Memory layer using:
 • Neon (Postgres) for structured data
 • Pinecone for embeddings and candidate vectors
 • Mem0 for semantic memory
 • Tool layer using:
 • Composio (Notion, Gmail, Slack, Google Workspace integrations)
 • Teamtailor ATS API
 • Browserbase (optional)
 • Screening engine for CVs, interviews, transcripts
 • Automated scoring, summaries, match analysis
 • Status updates, reminders, follow-ups
 • A clean API for future Jarvis modules
 
 This is a hands-on builder role. You will design, architect, and ship.
 
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 🧠 Required Skills
 
 AI + Agent Systems
 • Strong experience with LangGraph, LangChain, LlamaIndex, or similar
 • Deep understanding of LLM tool-calling, function-calling, and multi-step reasoning
 • Experience designing agent workflows (state machines, routers, subgraphs)
 
 Backend Engineering
 • Strong Python
 • Experience with FastAPI or similar frameworks
 • Building microservices and integrating external APIs
 
 Memory + Data
 • SQL + Postgres (Neon experience a plus)
 • Vector DBs: Pinecone / Weaviate / Milvus / pgvector
 • Knowledge of embeddings, similarity search, and retrieval
 
 Integrations + Tools
 • Experience with:
 • Notion API
 • Google Workspace APIs
 • Slack API
 • ATS (Teamtailor is a plus)
 • Browser automation tools (Browserbase / Playwright / Puppeteer)
 
 Dev quality
 • Strong debugging skills
 • High autonomy
 • Understanding of observability: Langfuse, Sentry, Datadog
 
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 💼 Nice to Have
 • Experience building AI agents in production
 • Experience with autonomous tool execution
 • Knowledge of RAG, memory design, document ingestion
 • Understanding of HRTech or recruiting processes
 
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 🧩 Personality Fit
 
 We’re looking for someone who:
 • Thinks in systems, not isolated scripts
 • Loves automation and hates manual work
 • Ships fast, iterates fast
 • Communicates clearly in English
 • Thrives in a high-speed, high-ownership environment
 • Wants to build real AI agents, not chatbots
 
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 🧪 What to Include in Your Application
 
 Please attach or link:
 • GitHub / repos with AI or agentic work
 • Examples of LangChain / LangGraph workflows
 • Any code that shows integrations with APIs / tools
 • AI automation or RAG projects
 • A short paragraph on why you’re interested
 
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 🎁 Why Join Us
 • Work directly on a next-gen AI agent platform
 • Build the first module of our internal Jarvis system
 • Fully remote
 • High autonomy and zero bureaucracy 

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