AI Agent Engineer

🔥 0 minutes ago

🇵🇰 Pakistan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Smart Working

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.

📋 Description

• Build and evolve production AI agents on foundation models, currently AWS Bedrock • Develop and evolve orchestration for production AI agents • Apply context engineering to production LLM and agent systems • Build and maintain evaluation datasets and pipelines, including tool-selection, trajectory and LLM-as-judge evaluations • Build and maintain production observability and monitoring for LLM and agent systems • Implement and work with tracing and instrumentation for production LLM systems • Work directly alongside the engineer currently leading the AI-agenting function as the first dedicated hire in this area • Apply agent-architecture fundamentals to inform whether the existing custom orchestration layer should be retained or a production framework adopted • Work as part of a new three-person product team alongside the AI function lead and a Full Stack Engineer • Operate as an individual contributor rather than managing others • Take ownership of measurable deliverables immediately upon onboarding • Deliver similar AI/agent engineering work against roadmap timelines

🎯 Requirements

• 2+ years of experience building production LLM agents, including tool-calling agent loops, streaming, context management, structured outputs and orchestration frameworks • Production experience with an agentic framework such as LangGraph, LangChain or custom orchestration • 1.5+ years of experience with evaluation-driven development, including building and maintaining evaluation datasets and pipelines covering tool selection, trajectory evaluation and LLM-as-judge • 1+ year of experience with LLM observability, tracing and instrumentation using Langfuse, OpenTelemetry or similar tooling • Genuine production agent-observability exposure • Direct, hands-on Langfuse experience is strongly preferred; OpenTelemetry or other tracing tools are acceptable only as a secondary signal alongside real agent-observability exposure • 1+ year of experience with LLM cost optimisation, including prompt caching, model selection and routing, and LLM FinOps • 5+ years of backend engineering proficiency, including TypeScript/Node, Postgres and serverless AWS • Proven experience delivering similar work on similar timelines • Experience shipping agentic AI systems to production, with the ability to speak to concrete failure modes and mitigations and operate end-to-end across the AI stack

🏖️ Benefits

• Fixed Shifts: 11:30 AM - 9:00 PM PKT (Summer) | 12:30 PM - 10:00 PM PKT (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and assets provided • Support That Matters: Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued