Senior AI Engineer

Overview

Job Title: Senior AI Engineer – Generative AI, LLMS & AI Agent Development

Location: Remote

About the Role

We are seeking an experienced and innovative AI Engineer with deep expertise in Generative AI, Large Language Models (LLMs), AWS Bedrock, and the development of AI agents and intelligent chatbots. In this role, you will design, build, and deploy cutting-edge AI solutions that power next-generation conversational interfaces and autonomous agents across various platforms and use cases.

Key Responsibilities

• Design and develop AI solutions using large language models (e.g., Amazon Titan via AWS Bedrock).
• Build and fine-tune LLM-powered chatbots capable of handling dynamic user queries across multiple domains.
• Architect and implement autonomous AI agents capable of performing multi-step reasoning, memory retention, tool use (APIs, databases), and context-switching.
• Integrate AWS Bedrock services for deploying and scaling LLM applications in secure, production-grade environments.
• Develop and manage end-to-end ML pipelines, including data preparation, model evaluation, and continuous improvement.
• Collaborate with cross-functional teams, including product, backend, and UX to deliver seamless AI-powered experiences.
• Monitor and optimise performance, latency, and cost of generative AI workloads.
• Stay up to date with the latest research and advancements in the field of Generative AI and LLMs.

Required Skills and Experience

• 3+ years of hands-on experience in AI/ML engineering, with a focus on LLMs and Generative AI.
• Deep understanding of transformer-based architectures and models like GPT, Claude, PaLM, LLaMA, etc.
• Practical experience with AWS Bedrock, SageMaker, or other cloud-based AI/ML deployment tools.
• Experience building chatbots and conversational agents using frameworks like LangChain, Semantic Kernel, RAG pipelines, or similar.
• Strong coding skills in Python and experience with ML libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Familiarity with prompt engineering, context management, vector databases (e.g., Pinecone, FAISS), and embeddings.
• Ability to build scalable, secure, and maintainable AI solutions in cloud-native environments.

Preferred Qualifications

• Experience integrating AI systems with enterprise SaaS platforms, APIs, or knowledge bases.
• Knowledge of multi-agent architectures, tools like AutoGPT, CrewAI, or similar.
• Background in MLOps, including monitoring, retraining, and CI/CD for ML models.
• Understanding of ethical AI, bias mitigation, and compliance in generative models.

Job Types: Full-time, Permanent, Contractual / Temporary

Benefits:

• Work from home

Application Question(s):

• How much experience do you have as AI/ML engineer?
• How much experience do you have as AWS Bedrock?
• Can you start immediately?

Work Location: Remote

Application Deadline: 02/05/2025