AI/ML Engineer

Agentic Global Talent; Lahore; Presencial; PKR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Agentic Global Talent is seeking a hands-on AI Engineer with 3–4 years of experience to join our AI team in Lahore. You will build and productionize Generative AI, LLM, and agentic AI applications using Python and modern AI tooling.

You will take AI solutions from prototyping to deployment, monitoring, and continuous improvement, collaborating with product and software teams to deliver reliable AI-powered capabilities.

Formación

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field.

Responsabilidades

• Design and develop production-grade Generative AI and LLM applications.
• Build RAG systems, AI agents, copilots, and intelligent automation workflows.
• Develop agentic systems involving tool calling, function calling, planning, memory, and multi-step reasoning workflows.
• Integrate foundation models using platforms such as Amazon Bedrock and/or Azure OpenAI.
• Evaluate and select appropriate foundation models based on accuracy, latency, cost, and application requirements.
• Develop advanced prompt engineering and context management strategies.
• Implement embeddings, semantic retrieval, reranking, and vector-search techniques for RAG applications.
• Design AI evaluation frameworks covering response quality, hallucination, groundedness, relevance, safety, latency, and cost.
• Implement AI guardrails, responsible AI controls, and human-in-the-loop mechanisms.
• Fine-tune or adapt models where appropriate using techniques such as LoRA/PEFT.
• Build scalable inference services and APIs for integrating AI capabilities into production applications.
• Monitor production AI systems and continuously improve prompts, retrieval strategies, models, and agent behavior.
• Collaborate with Product and Software Engineering teams to translate business requirements into reliable AI-powered product capabilities.

Conocimientos

Python

LLMs / Generative AI

RAG & Embeddings

Agentic AI / Tool calling

LangChain / LangGraph

PyTorch / Transformers

Model evaluation & tuning

Production deployment

AI safety & responsible AI

Problem solving & collaboration

Educación

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field

Herramientas

Amazon Bedrock

Azure OpenAI

OpenAI API

LangChain

PyTorch

Hugging Face Transformers

Descripción del empleo

About This Role

We are looking for a hands-on AI Engineer with 3–4 years of experience to join our growing AI team. This role is focused specifically on building and productionizing Generative AI, LLM, and agentic AI applications.

The ideal candidate has strong Python skills and practical experience taking AI solutions from experimentation and prototyping through evaluation, deployment, monitoring, and continuous improvement.

Key Responsibilities

• Design and develop production-grade Generative AI and LLM applications.
• Build RAG systems, AI agents, copilots, and intelligent automation workflows.
• Develop agentic systems involving tool calling, function calling, planning, memory, and multi-step reasoning workflows.
• Integrate foundation models using platforms such as Amazon Bedrock and/or Azure OpenAI.
• Evaluate and select appropriate foundation models based on accuracy, latency, cost, and application requirements.
• Develop advanced prompt engineering and context management strategies.
• Implement embeddings, semantic retrieval, reranking, and vector-search techniques for RAG applications.
• Design AI evaluation frameworks covering response quality, hallucination, groundedness, relevance, safety, latency, and cost.
• Implement AI guardrails, responsible AI controls, and human-in-the-loop mechanisms.
• Fine-tune or adapt models where appropriate using techniques such as LoRA/PEFT.
• Build scalable inference services and APIs for integrating AI capabilities into production applications.
• Monitor production AI systems and continuously improve prompts, retrieval strategies, models, and agent behavior.
• Collaborate with Product and Software Engineering teams to translate business requirements into reliable AI-powered product capabilities.

Required Skills

• Strong programming skills in Python.
• Hands-on experience building applications using LLMs and Generative AI.
• Strong understanding of RAG, prompt engineering, embeddings, vector search, and semantic retrieval.
• Experience building AI agents and tool/function-calling workflows.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Experience with Amazon Bedrock, Azure OpenAI, OpenAI APIs, or similar foundation-model platforms.
• Experience with PyTorch, Hugging Face Transformers, or similar AI/ML frameworks.
• Understanding of model inference, evaluation, fine-tuning, and optimization.
• Experience deploying AI applications into production environments.
• Strong understanding of AI safety, security, hallucination mitigation, and responsible AI practices.
• Strong problem-solving, experimentation, communication, and collaboration skills.

Qualification

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field.

Experience

• 3–4 years of experience in AI/ML Engineering or a related software-focused AI role.