- Develop and refine structured prompts to optimize AI model output, experimenting with various prompting techniques.
- Implement Fabric AI Skills on Fabric Lakehouse for automated data interpretation of semantic model for improved contextual accuracy.
- Integrate Azure Open AI and Fabric AI Skills for the MS Fabric Lakehouse to enable enhanced conversational AI experience.
- Development of AI led automation solutions (preferably leveraging Agentic AI).
- Analyze AI responses, troubleshoot inconsistencies, and fine-tune prompts for better accuracy while researching and implementing best practices to reduce hallucinations and biases.
- Automate workflows by designing prompts for AI agents, chatbots, and AI-powered assistants
- Stay updated with advancements in NLP, LLMs, and generative AI to continuously improve prompt strategies and enhance AI model performance
- Assist in curating, cleaning, and processing datasets used for training machine learning models
- Learn to create effective prompts for LLMs to generate and augment datasets while helping identify and resolve data quality issues across various data types.
- Develop and implement AI models, algorithms, and workflows to automate tasks, optimize processes, and generate insights from data.
- Drive research and implementation of autonomous AI agents that interact with users, applications, and environments.
Optimize AI performance, ensuring solutions are scalable, efficient, and aligned with business objectives.
Education (Indicate the minimum level of education necessary for this position. Check all that apply and indicate specific degree as applicable to the side (e.g., bachelor s in computer science) Required Preferred Degree/Certification
Bachelor s degree
Master s degree
Ph.D.
J.D. (law)
Certification:
Registration:
Licensure:
Other:
Work Experience
8-12 Year s
Knowledge, Skills, Abilities Competencies
- Experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and AI APIs.
- Hands-on experience in Fabric AI Skills and implementing Fabric AI Skills on Fabric Lakehouse.
- Familiarity with Data Lakehouse medallion architecture, including semantic models.
- Familiarity with Python, OpenAI API, LangChain, and AI automation frameworks.
- Proficient with Python language and ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn.
- Strong programming skills in languages such as JSON, Microsoft Azure, Python, Java, JavaScript, etc.
- Prior experience on developing and hosting chatbots on multiple channels (teams, sharepoint, web portal)
- Understanding of statistical models such as regression, clustering, and ML algorithms such as decision trees, Random Forests, neural networks, etc.
- Strong understanding of NLP principles, model behaviour, and prompt design techniques.
- Ability to interpret AI-generated outputs and optimize performance.
- Strong writing and communication skills, with a keen understanding of AI-driven content generation.
- Adaptability to a fast-paced AI startup environment.
If you share our mindset, you can share in our success. To find out more about joining Aptean, get in touch today.
Learn from our differences. Celebrate our diversity. Grow and succeed together.
Aptean pledges to promote a company culture where diversity, equity and inclusion are central. We are committed to applying this principle as we interact with our customers, build our teams, cultivate our leaders and shape a company in which any employee can succeed, regardless of race, color, sex, national origin, sexuality and gender identity, religion, disability or age. Celebrating our diverse experiences, opinions and beliefs allows us to embrace what makes us unique and to use this as an asset in bringing innovative solutions to our customer base.
At Aptean, our global and diverse employee base is our greatest asset. It is through embracing and understanding our differences that we are able to harness our individual power to maximize the success of our customers, our employees and our company. TVN Reddy