Artificial Intelligence Engineer

About the company

IDS (Integrated Digital Solutions)

About the Job

AI Prompt Engineers

Key Responsibilities

• Design, test, and refine prompts for large language models (LLMs) to generate accurate, actionable insights from complex data sets, such as cloud deployment strategies or investment portfolio analyses.
• Collaborate with solutions architects and developers to integrate prompt-engineered AI outputs into client presentations, reports, and automation tools.
• Analyze AI model performance, identify issues like hallucinations, and iterate on prompting strategies to improve reliability and efficiency.
• Automate prompt evaluation processes and support AI tooling for team projects, ensuring seamless integration with platforms like Automation Anywhere, AWS
• Develop and deploy AI agents using frameworks like LangChain or AutoGen, configuring them for autonomous task execution in enterprise workflows such as data processing or client query resolution.
• Integrate prompt-engineered AI agents with existing systems, including APIs for cloud services (e.g., AWS Bedrock or similar), to enable multi-agent collaborations for complex simulations like financial forecasting or application automation.
• Evaluate and fine-tune AI agent behaviors through iterative testing, incorporating feedback loops to mitigate errors and enhance adaptability in dynamic business environments.
• Manage multiple client deliverables simultaneously, communicating technical concepts to non-technical stakeholders and presenting optimized AI solutions.

Required Skills and Qualifications

• AI & LLM Knowledge

  : Strong understanding of LLMs, including architectures, capabilities, and limitations such as hallucinations; experience with models like GPT series or similar.

• Prompting Techniques

  : Expertise in methods including zero-shot, few-shot, chain-of-thought, and persona-based prompting to elicit high-quality AI responses.

• Programming

  : Proficiency in Python for API interactions, script automation, and output analysis; familiarity with libraries like OpenAI SDK.

• Data Analysis

  : Ability to evaluate AI outputs, detect patterns, and measure prompt effectiveness using metrics like accuracy and relevance.

• AI Tooling

  : Hands-on experience with tools such as OpenAI Playground, LangChain, or model APIs; bonus for integration with enterprise platforms like Automation Anywhere.

• Additional Skills

  : Deep knowledge of generative AI applications in business contexts, such as financial planning or cloud architecture; excellent communication and presentation abilities for client interactions; proven multitasking in consulting or project-based environments.

• Education and Experience

  : Bachelor's in Computer Science, AI, or related field; 3+ years in AI/ML roles, with a focus on prompt engineering; certifications in AI preferred.

What We Offer

Competitive salary, flexible remote/hybrid work , professional development opportunities including cloud certifications, and exposure to high-profile enterprise projects.