Gen AI Engineer

Tkxel LLC; Lahore; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

Tkxel LLC, a leading software development company, seeks a full-stack GenAI engineer to design, build, and iterate on AI solutions in real time with clients. You will work at the intersection of backend engineering and applied AI, owning end-to-end architecture, implementation, evaluation, and handoff.

In this role you’ll rapidly prototype on-site with clients, translate ambiguous business problems into deployable AI use cases, and communicate trade-offs clearly to stakeholders.

Qualifications

• Hands-on GenAI expertise with LLMs and prompt engineering.
• Strong backend stack: Python, FastAPI or Django.
• Experience with Azure or AWS cloud platforms.
• Ability to translate business problems into AI use cases.

Responsibilities

• Design and build production-grade GenAI systems at enterprise scale.
• Work directly with client stakeholders to scope AI use cases.
• Prototype and iterate on-site with clients.
• Own end-to-end solutions from architecture to handoff.
• Bridge technical and business conversations with stakeholders.

Skills

GenAI expertise

LLMs

Prompt engineering

Multi-agent design

Communication skills

Tools

Azure

AWS

FastAPI/Django

Job description

Tkxel is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions.

Job Description

We're looking for a full-stack GenAI engineer who can operate directly with client to design, build, and iterate on AI solutions in real time against live business problems, not just ship code from behind a backlog. This role sits at the intersection of backend engineering and applied AI.

Key Responsibilities

Design and build production-grade GenAI systems: multi-agent architectures, RAG pipelines over large/enterprise-scale document stores, and real-time systems used in daily business operations

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 the feedback loop between idea and working solution

Own solutions end-to-end — architecture, implementation, evaluation, and handoff — rather than working purely from fixed specs

Bridge technical and business conversations: explain trade-offs to non-technical stakeholders and translate priorities back into technical decisions

Requirements

Strong GenAI expertise — hands-on experience with LLMs, prompt engineering, RAG, agentic frameworks, and multi-agent design; comfortable working across multiple model providers

Core stack: Python, FastAPI/Django, and Azure or AWS

Applied depth in the hard parts, e.g.:

Permission-aware retrieval at scale

Async task orchestration

LLM evaluation and observability

Business understanding — able to grasp a client's operating model and pressure-test whether a proposed AI use case creates measurable value, not just technical novelty

Forward-deployed mindset — thrives working embedded with clients rather than at arm's length; comfortable with ambiguity, direct client exposure, and fast iteration cycles typical of an FDE role

Strong communication skills — able to run discovery sessions, present to leadership, and document decisions clearly.