Job Openings Platform Engineer (Remote, Anywhere in Pakistan, USD Salary)

About the job Platform Engineer (Remote, Anywhere in Pakistan, USD Salary)

Requirements:

  • Bachelor's or Master's degree in Computer Science, AI, or related field.
  • 3–7 years of experience in AI/ML engineering, preferably with LLMs or AI agents in production.
  • Strong programming skills in Python, with experience in ML frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with LLMs, embeddings, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
  • Familiarity with MLOps, CI/CD pipelines, and cloud deployment (AWS, GCP, or Azure).
  • Experience with Responsible AI, bias mitigation, or hallucination detection is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills to explain technical concepts to non-technical stakeholders.
  • Experience with AI agent frameworks such as LangChain, AutoGPT, or LlamaIndex.
  • Prior work in regulated or high-stakes industries (healthcare, finance, legal).
  • Open-source contributions or research publications in AI/ML.
  • Product-oriented mindset with experience in translating business requirements into technical solutions.

Responsibilities:

  • Build and maintain AI agent systems (LLM-based) with a focus on reliability and factual accuracy.
  • Implement and optimize hallucination detection models (e.g., HHEM) in production pipelines.
  • Develop RAG pipelines: semantic search, vector databases, and data retrieval to ground AI responses in real data.
  • Apply Responsible AI practices: guardrails, transparency, logging, and human-in-the-loop escalation.
  • Optimize system performance for latency, scalability, and cost-efficiency.
  • Collaborate with cross-functional teams (product, UX, data, customers) to deliver features.
  • Mentor junior engineers and support knowledge sharing within the team.
  • Contribute to internal tools, open-source projects, or research publications when relevant.