Role Overview
We are looking for a motivated AI Engineer with only 1–2 years of hands-on experience to join our AI team.
The successful candidate will work on real-world AI, Generative AI, and Agentic AI projects, helping design and develop intelligent solutions for enterprise and government customers.
This role is ideal for an engineer who has a strong foundation in computer science, software development, machine learning, and AI, and is particularly interested in gaining deeper hands-on experience with Agentic AI, LLMs, RAG, and enterprise AI solutions.
Key Responsibilities
- Actively participate in the design and development of Agentic AI projects.
- Build AI agents, intelligent workflows, and multi-agent solutions for real-world business use cases.
- Develop Generative AI and LLM-powered applications.
- Build solutions using RAG, embeddings, vector databases, and enterprise data.
- Develop, train, evaluate, and optimize machine learning and deep learning models.
- Work on Natural Language Processing (NLP) solutions and real-world AI applications.
- Develop production-quality AI applications and APIs using Python.
- Integrate AI solutions with enterprise applications, databases, APIs, and business systems.
- Work with Azure OpenAI, Microsoft Foundry, Copilot Studio, and other Microsoft AI technologies.
- Perform prompt engineering, model evaluation, testing, and optimization.
- Support the deployment, monitoring, and continuous improvement of AI models and applications.
- Collaborate with solution architects, developers, and business teams to transform business requirements into practical AI solutions.
- Apply security, privacy, and Responsible AI principles throughout the AI development lifecycle.
Qualifications
- Only 1–2 years of professional or relevant hands-on experience in AI, machine learning, software development, data science, or a related field.
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and production-quality coding.
- Strong understanding of Machine Learning, Pattern Recognition, Neural Networks, and Deep Learning.
- Hands-on experience with Natural Language Processing (NLP), including developing, evaluating, or deploying NLP-based solutions.
- Strong proficiency in Python or a similar programming language.
- Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies.
- Practical understanding of Generative AI and Large Language Models (LLMs).
- Understanding of RAG architectures, embeddings, vector search, and prompt engineering.
- Familiarity with REST APIs, databases, Git/GitHub, and modern software development practices.
- Ability to work collaboratively within a multidisciplinary team and communicate technical concepts clearly.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Computer Engineering, Mathematics, Data Science, or a related technical field, or equivalent practical experience.
