AI Engineer
2 weeks ago
We are looking for a skilled and innovative
AI Engineer
with hands-on experience in building intelligent systems using
Python, FastAPI, workflow automation, and large language models (LLMs)
. The ideal candidate will be passionate about creating AI-driven solutions, especially in areas like
chatbots, AI agents, LLMs, and intelligent workflows
. You'll be working in a fast-paced, collaborative environment to build systems that are
smart, scalable, and impactful
.
As an AI Engineer, you will design and develop AI-powered applications using
Python, FastAPI, and modern AI frameworks
. You'll work on
AI Agent development (LangGraph, OpenAI SDK), automation workflows (n8n), LLM integration, and AWS cloud deployments
. Your role also involves optimizing performance, integrating APIs, and collaborating with cross-functional teams to launch
robust, production-ready AI solutions
.
Responsibilities:
- Architect and build conversational and
agentic AI systems
that use LLMs for reasoning, planning, and dynamic interaction.
- Develop and deploy
AI agents using LangGraph and OpenAI SDK
.
- Build integrations between LLMs, structured backends, APIs, and external tools.
- Design and automate workflows using
n8n
.
- Develop scalable APIs and services using
FastAPI
.
- Implement
retrieval-augmented generation (RAG) pipelines
for context-aware AI systems.
- Deploy and manage AI systems on
AWS
(EC2, Lambda, S3, etc.).
- Preprocess, clean, and manage datasets for AI/ML training and inference.
- Collaborate with full-stack developers and product managers in agile teams.
- Continuously monitor, test, and optimize AI models for performance and reliability.
Qualifications:
- Education:
BS or MS in Computer Science, AI, Data Science, or a related technical field.
- Experience
: 0–1 years in AI/ML development and backend engineering, or workflow automation.
Skills:
- Strong proficiency in
Python coding
.
- Experience with
FastAPI
(must-have).
- Hands-on with
n8n for workflow automation
.
- Experience in
AI Agent development using LangGraph & OpenAI SDK
.
- Familiarity with
LLMs
(e.g., GPT models, Hugging Face).
- Experience with
AWS cloud services
.
- Knowledge of AI/ML frameworks (TensorFlow, PyTorch preferred).
- Familiarity with RAG architecture.
- Strong problem-solving and communication skills.
- Experience with Git Version Control.
- Certifications (AI/ML, Python, Cloud) are a plus but not required.
Location:
- University Road, Peshawar
Job Type:
- Full-time, On-site
Working Hours:
- Monday-Friday, 9 AM-6 PM
Additional Information:
- On-job training would be provided.
- Competitive salary and leave package.
- Guidance from the thought leaders of the industry.
- Opportunities for professional growth and development.
- Collaborative and inclusive work environment.
- Access to the latest technologies and tools.
- Extracurricular activities to foster team bonding and fun.
Supporting Questions:
- What is your notice period? Please state it in weeks.
- What are your salary expectations (PKR per month)?
- Are you available full-time onsite? If not, please do not apply.
- Are you Peshawar/KPK-based? If not, DO NOT APPLY
- What is your current salary (PKR per month)?
-
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