Job Description: AI Engineer
About Neudesic
Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks, and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.
Neudesic, an IBM Company, is a trusted technology partner in business innovation, delivering impactful business results to clients through digital modernization and evolution. We specialize in providing services and solutions that drive digital transformation, leveraging our expertise in cloud, data, and AI technologies.
Core Values
- Passionate about what they do
- Disciplined
- Innovative
- Committed to a Team
- Conduct themselves with Integrity
Position Overview
We are seeking a Mid-Level Modern AI Engineer to join our growing App Innovation practice. This role involves designing, developing, and deploying AI solutions using Microsoft Azure technologies, with a focus on:
- Generative AI
- Agentic AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) architectures
The ideal candidate will have a strong foundation in AI/ML, experience with Azure AI services, and the ability to work collaboratively in a consulting environment.
Key Responsibilities
AI Solution Development & Deployment
- Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
- Develop and deploy machine learning models, especially in NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel.
- Implement RAG architectures using Azure AI Search to improve AI application performance.
Project Delivery & Client Engagement
- Lead and contribute to AI project delivery.
- Ensure scalable, secure solutions aligned with client objectives.
- Adapt to various client environments.
- Provide technical guidance for AI solution adoption.
Model Validation & Quality Assurance
- Conduct testing and validation for accuracy and performance.
- Optimize models addressing data quality, bias, and fairness issues.
- Stay updated with industry trends and best practices.
Preferred Consulting Experience
- Collaborate with sales and delivery teams for designing AI solutions.
- Develop estimates and proposals.
- Conduct technical presentations.
Education & Experience
- Degree: Bachelor's in Computer Science, Data Science or similar (relevant work experience acceptable)
- Experience: 3+ years in AI/ML development focusing on OpenAI Services, NLP, and LLMs.
- Environment: Consulting experience engaging with clients.
Technical Skills
- Proficiency in Python or C#.
- Experience with Azure AI services.
- Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, LlamaIndex.
- Knowledge of data processing with Azure Data Factory.
- Understanding of MLOps practices.
Soft Skills
- Analytical and problem-solving skills.
- Excellent communication and teamwork.
- Ability to work independently in a fast-paced environment.
Preferred Qualifications
- Microsoft Certified: Azure AI Engineer Associate.
- Experience with Docker, Kubernetes.
- Knowledge of responsible AI principles.
Why Join Neudesic?
- Work on cutting-edge AI projects.
- Inclusive, innovative environment.
- Professional development resources.
- Competitive benefits.
Additional Notes
- Remote work options available.
- Comply with privacy and anti-scam policies.
- Equal Opportunity Employer.
- Part of IBM, sharing personal data with IBM companies.
Job Highlights:
Qualifications
- Strong AI/ML foundation.
- Bachelor's Degree (or relevant experience).
- 3+ years AI/ML experience, focusing on OpenAI, NLP, LLMs.
- Consulting experience.
- Programming in Python or C#.
- Azure AI service proficiency.
- Experience with RAG architectures and tools.
- Data pipelines and MLOps knowledge.
- Skills: Analytical, communicative, team player.
Benefits
- Cutting-edge AI projects.
- Inclusive work culture.
- Development resources.
- Competitive compensation.
Responsibilities
- Design and implement AI models.
- Develop NLP and LLMs solutions.
- Implement RAG architectures.
- Lead AI projects.
- Test and optimize models.
- Stay updated with AI trends.