AI Engineer

AI Engineer

Dicetek

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Job Overview

Location Remote

Employment Type Full-time

Work Arrangement Remote

Sector Information Technology & Software

Experience Level Senior (5-8 years)

Application Deadline November 8, 2026

About the Company

Dicetek is a forward-thinking technology company specializing in cutting-edge digital transformation solutions. They are at the forefront of leveraging artificial intelligence, cloud computing, and data analytics to empower businesses across various sectors. Dicetek is committed to delivering innovative and scalable solutions that drive efficiency, enhance customer engagement, and foster sustainable growth for their clients. Their expertise spans AI engineering, cloud infrastructure, and bespoke software development, positioning them as a trusted partner for organizations seeking to navigate the complexities of the digital age.

Job Description

Dicetek is seeking a highly skilled AI Engineer to join their innovative team. This role is critical for developing and deploying advanced AI solutions, with a strong focus on Generative AI and Large Language Models (LLMs).

You will leverage your expertise in Python, cloud platforms, and cutting-edge AI frameworks to build and manage AI-driven applications. This is an opportunity to work on impactful projects that are shaping the future of technology.

Qualifications: remove the apply line.

Required Skills

• AI EngineeringGenerative AILLMsPythonPyTorchTensorFlowLangChainSemantic KernelRAGVector DatabasesCloud DeploymentKubernetesCI/CDDevOps

Key Responsibilities

• Develop and deploy Generative AI and LLM-based applications.
• Implement Retrieval-Augmented Generation (RAG) techniques, including embeddings and vector databases.
• Utilize agent frameworks like Semantic Kernel and AutoGen for AI orchestration.
• Deploy and manage AI models on cloud platforms such as Azure OpenAI Service and AWS Bedrock.
• Integrate AI solutions with microservices, APIs, and event-driven architectures.
• Manage CI/CD pipelines for AI workloads and ensure robust monitoring.
• Collaborate with cross-functional teams to deliver high-quality AI solutions.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Minimum 10 years of software engineering experience, with at least 3 years in AI Engineering.
• Hands-on experience with Generative AI, LLMs, and practical application delivery.
• Strong proficiency in Python, NumPy, pandas, FastAPI, PyTorch, or TensorFlow.
• Mandatory experience with LangChain, LangGraph, Microsoft Semantic Kernel, and Microsoft AutoGen.
• Experience with RAG implementation, vector databases, and semantic search.
• Experience deploying models on Azure OpenAI Service, Amazon Bedrock, or Google Vertex AI.
• Familiarity with microservices, containers, APIs, and event-driven architecture.
• Experience with Kubernetes and CI/CD tools like Jenkins or GitLab.
• Strong problem-solving skills and a focus on delivering secure, high-quality solutions.