Client-Facing GenAI Engineer: Real-Time AI Solutions

Tkxel

Pakistan

On-site

PKR 1,500,000 - 2,300,000

Full time

2 days ago
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Job summary

Tkxel seeks a full-stack GenAI engineer to design, build, and iterate on real-time AI solutions in collaboration with client teams. You will operate at the nexus of backend engineering and applied AI, delivering end-to-end architectures and deploying them in production environments.

Responsibilities include developing multi-agent GenAI systems, RAG pipelines, and agentic frameworks, with direct client exposure to translate business problems into deployable AI use cases and fast iteration cycles.

Qualifications

  • Strong GenAI expertise with LLMs, prompt engineering, RAG, agentic frameworks.

Responsibilities

  • Design and build production-grade GenAI systems: multi-agent architectures, RAG pipelines over enterprise-scale document stores, and real-time systems.
  • Build agentic systems that reason, retrieve, and act — not just conversational responders.
  • Work directly with client stakeholders to translate ambiguous business problems into scoped, deployable AI use cases.
  • Rapidly prototype and iterate on-site/embedded with the client, compressing feedback loop between idea and working solution.
  • Own solutions end-to-end — architecture, implementation, evaluation, and handoff.
  • Bridge technical and business conversations: explain trade-offs to non-technical stakeholders and translate priorities back into technical decisions.

Skills

GenAI expertise
Python
FastAPI/Django
Azure/AWS

Job description

Tkxel seeks a full-stack GenAI engineer to design, build, and iterate on real-time AI solutions in collaboration with client teams. You will operate at the nexus of backend engineering and applied AI, delivering end-to-end architectures and deploying them in production environments.

Responsibilities include developing multi-agent GenAI systems, RAG pipelines, and agentic frameworks, with direct client exposure to translate business problems into deployable AI use cases and fast iteration cycles.

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