AI Engineer
3 days ago
AI Engineer Alpha Digital (Islamabad, Onsite)
- Location:
Sector C, DHA Phase 2, Islamabad - Type:
Full Time, Onsite - Timing:
6 PM - 2 AM (Night Shift) - Experience:
1–3 Years (Mid-level or highly skilled junior)
About Us
Alpha Digital is a fast-growing software company building high-impact digital products for international clients. We specialize in full-stack web and mobile development and AI-powered systems, including chatbots, automation pipelines, OCR-based data extraction, and enterprise intelligence platforms.
We're looking for a passionate AI Engineer who can bridge the gap between research and production, turning models and algorithms into scalable real-world products.
Key Responsibilities
- Design, build, and deploy AI-driven applications (LLMs, RAG pipelines, OCR, NLP, VectorDbs and automation tools).
- Integrate OpenAI, Anthropic, Gemini, or open-source models via APIs into web and mobile apps.
- Work with developers to implement AI powered features using Python (FastAPI/Flask) or (Nest/Express).
- Fine-tune and train models or create custom embeddings for specific business domains.
- Evaluate and optimize AI performance, latency, hallucinations and cost.
- Collaborate with the full-stack team on data flow, model integration, and frontend interactions.
- Stay up-to-date with the latest advancements in GenAI, LangChain, Vector Databases, and AI Infrastructure.
Requirements
- Strong command of Python, LangChain, OpenAI API, and LLM architectures.
- Experience with data preprocessing, embeddings, and vector databases (like Pinecone, Chroma, or FAISS).
- Understanding of RAG (Retrieval-Augmented Generation) workflows.
- Familiarity with OCR systems (Tesseract, AWS Textract, Google Vision API).
- Basic knowledge of NLP techniques, prompt engineering, and fine-tuning.
- Understanding of cloud services (AWS, GCP, DigitalOcean) and model deployment.
- Ability to work in a fast-paced startup environment and deliver end-to-end AI features.
What We Offer
- Competitive Salary (Based on Experience)
- Fast-Growth Environment, work on real, production-grade AI projects
- Friendly & collaborative startup culture
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