Prompt Engineer / AI Full-Stack Engineer

Job Type: Full-Time
Work Mode: Remote
Location: Pakistan
Experience: 2+ Years
Department: Engineering / AI
About the Role
We are looking for a Prompt Engineer / AI Full-Stack Engineer who can work across AI, software development, and cloud infrastructure.
The ideal candidate should have strong programming and full-stack development experience, along with hands-on knowledge of AI models, prompt engineering, model training/fine-tuning, APIs, and AWS deployments.
This is not a traditional Prompt Engineer role. We are looking for a technical engineer who can understand AI models, build applications around them, optimize their performance, and deploy scalable solutions in production.
Key Responsibilities
Design, develop, and optimize prompts for LLMs and AI applications.
Work with AI/ML models and understand their behavior, limitations, and performance.
Develop and integrate AI models into web and software applications.
Work on model training, fine-tuning, evaluation, and optimization where required.
Build AI-powered features using APIs, LLMs, embeddings, RAG, and related technologies.
Develop and maintain full-stack applications using modern frontend and backend technologies.
Build REST APIs and integrate third-party AI and software services.
Design and implement AI workflows and automation.
Test and evaluate AI responses for accuracy, consistency, relevance, and reliability.
Debug AI and application-level issues and continuously improve system performance.
Deploy and maintain applications and AI services on AWS.
Work with AWS infrastructure, servers, databases, storage, networking, and deployment pipelines.
Collaborate with product, engineering, and business teams to convert requirements into working solutions.
Stay updated with emerging AI models, frameworks, tools, and development practices.
Required Skills
AI & Prompt Engineering
Strong understanding of Prompt Engineering and LLM-based applications.
Hands-on experience with models such as OpenAI, Claude, Gemini, Llama, or similar LLMs.
Experience creating structured prompts, system instructions, workflows, and AI agents.
Understanding of RAG (Retrieval-Augmented Generation), embeddings, vector databases, and context management.
Experience with AI model training, fine-tuning, evaluation, or optimization.
Understanding of model limitations, hallucinations, token usage, and response optimization.
Full-Stack Development
Strong programming and software development experience.
Experience with frontend technologies such as:
React.js
Next.js
JavaScript / TypeScript
HTML / CSS
Experience with backend technologies such as:
Node.js
Python
Django / FastAPI
Laravel or similar frameworks
Strong understanding of REST APIs and third-party integrations.
Experience working with SQL and/or NoSQL databases.
Ability to develop, debug, and maintain production-level applications.
AWS & Deployment
Hands-on experience with AWS servers and deployments.
Knowledge of services such as:
EC2
S3
RDS
Lambda
CloudFront
Route 53
IAM
Understanding of Linux server administration and application deployment.
Experience with Git and version control.
Knowledge of CI/CD and Docker is a plus.
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, or a related field is preferred.
2+ years of professional software development experience.
Proven experience working with AI/LLM-based applications.
Strong programming fundamentals.
Experience with AI model training, fine-tuning, or evaluation.
Practical AWS deployment experience.
Strong problem-solving and debugging skills.
Ability to work independently in a remote environment.
Good written and verbal communication skills.
Nice to Have
Experience building AI Agents.
Experience with OpenAI APIs, Anthropic, Gemini, or open-source LLMs.
Experience with LangChain, LlamaIndex, CrewAI, or similar AI frameworks.
Experience with vector databases such as Pinecone, Weaviate, Qdrant, or Chroma.
Experience with Hugging Face and open-source models.
Experience with Python AI/ML libraries such as PyTorch, TensorFlow, or Transformers.
Experience with Docker and Kubernetes.
Experience with AWS SageMaker or other managed AI/ML services.
Experience building SaaS products or AI-based platforms.
What We Are Looking For
We are looking for someone who is hands-on and technically strong.
You should be able to move between:
Prompt → AI Model → Backend → Frontend → API → AWS → Production
You don't need to be an expert in every technology listed above, but you should have strong fundamentals and the ability to learn and implement new technologies quickly.
Remote Work
This is a fully remote position for candidates based in Pakistan.
The candidate should have:
Reliable internet connection.
A suitable computer/laptop for development.
Ability to communicate effectively with a remote engineering team.
Ability to manage tasks independently and meet deadlines.
Availability for team meetings during agreed working hours.
What We Offer
Fully remote work.
Opportunity to work on real-world AI products and applications.
Exposure to modern AI technologies and LLMs.
Opportunity to work across AI, full-stack development, and cloud infrastructure.
Collaborative and growth-oriented environment.
Competitive compensation based on experience and technical capabilities.

Work arrangement
Yes