Senior AI Engineer – Generative AI & LLMs at Enum… · Karachi

We are looking for a Senior AI Engineer with strong hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, Deep Learning, and AI/ML engineering.

The ideal candidate will have practical experience developing and deploying AI solutions using modern AI frameworks, cloud platforms, vector databases, and production AI infrastructure.

This role offers an opportunity to work remotely on enterprise AI initiatives involving LLM applications, intelligent assistants, RAG systems, and emerging Agentic AI technologies.

Key Responsibilities

• Design, develop, test, and deploy AI/ML solutions for enterprise applications.
• Build Generative AI applications using LLMs and foundation models.
• Develop RAG pipelines using embeddings, vector databases, semantic search, hybrid search, and retrieval optimization.
• Build conversational AI applications, intelligent assistants, and AI-powered automation solutions.
• Work with LLM APIs and open-source models to develop practical AI applications.
• Implement prompt engineering, model evaluation, optimization, and performance improvement techniques.
• Develop NLP, Deep Learning, and Machine Learning solutions for business requirements.
• Integrate AI capabilities into enterprise applications through APIs and microservices.
• Deploy AI solutions using AWS, Azure, or GCP.
• Apply Docker, Kubernetes, CI/CD, and MLOps practices for reliable AI deployments.
• Monitor and improve AI application accuracy, performance, latency, and scalability.
• Collaborate remotely with software engineers, data scientists, architects, and business stakeholders.
• Research and evaluate emerging technologies in Generative AI, Agentic AI, and LLMs.

Required Skills & Experience

• 5–10 years of experience in AI/ML, Machine Learning Engineering, or related software engineering.
• Strong Python programming skills.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Practical experience with RAG, embeddings, vector search, and semantic search.
• Experience with one or more of the following:
• LangChain
• LangGraph
• LlamaIndex
• Hugging Face
• OpenAI APIs
• PyTorch
• TensorFlow
• Experience with vector databases such as Pinecone, FAISS, Milvus, Weaviate, or Azure AI Search.
• Good understanding of NLP, Deep Learning, and Machine Learning.
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, REST APIs, CI/CD, and MLflow.
• Ability to develop scalable, secure, and production-ready AI applications.
• Strong communication, collaboration, and time-management skills for remote work.

Preferred Skills

• Master’s or PhD in AI, Machine Learning, Computer Science, Data Science, or a related field.
• Experience with Agentic AI, AI Agents, and multi-agent systems.
• Exposure to Conversational AI or Voice AI.
• Experience with Speech-to-Text (STT) and Text-to-Speech (TTS) technologies.
• MLOps / LLMOps experience.
• Knowledge of AI Governance, Responsible AI, and AI Security.
• Experience working with enterprise or financial-services AI applications.
• Research publications, patents, or open-source AI contributions.
• Previous experience working with distributed or remote engineering teams.

Ideal Candidate

We are looking for a candidate with strong practical exposure to modern AI technologies, rather than purely academic knowledge.

Candidates should be able to demonstrate real-world experience developing AI solutions involving LLMs, Generative AI, RAG, AI applications, or Machine Learning, preferably with systems deployed in production or enterprise environments.

The ideal candidate should be self-motivated, comfortable working independently, and capable of collaborating effectively with a distributed team.

Pay: From Rs150,000.00 per month

Work Location: Hybrid remote in Karachi