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Job Role- AI Engineer

Location- Owings Mills, MD

Salary- 80k to 85k

Job Description

The AI Developer  will support the design, development, and implementation of AI-driven solutions that address business problems and enable data-driven decision-making. The role combines hands-on technical work with analytical thinking and client-focused solutioning under the guidance of senior AI consultants and architects. Key Responsibilities include: · Writing code (predominantly Python, R, Java, or C++) to implement AI algorithms. · Integrating AI models into existing software applications and deploying them to production environments (e.g., cloud platforms like AWS, Azure). · Testing, troubleshooting, and tuning algorithms to enhance performance, accuracy, and efficiency. · Working with data scientists, software engineers, and stakeholders to translate business needs into technical solutions · Assist in analyzing business requirements and translating them into AI-based technical solutions. · Develop and enhance AI applications using Python and Java, with a focus on scalable and maintainable design. · Perform data analysis, data cleansing, and exploratory analysis to support AI/ML use cases. · Support development and testing of AI models, prompts, and workflows. · Adhere to organizational standards, security practices, and responsible AI guidelines.


Qualification and Specialization:

Qualification: Master’s Degree (preferred) in Engineering, Computer Science, Data Science, AI, or a related discipline. Specialization / Skill Set: · High proficiency in Python (essential), along with Java, C++, or R. · Strong understanding of Machine Learning (supervised/unsupervised), Deep Learning, Neural Networks, Natural Language Processing (NLP), and Computer Vision.

· Familiarity with AWS, Google Cloud AI, or Microsoft Azure for deployment, along with Docker and Kubernetes. · Proficiency in Git and GitHub


Unique Experience from this Role:

· Exposure to AI solution development, working at the intersection of technology and business. · Hands‑on experience with OpenAI and generative AI technologies in enterprise use cases. · Opportunity to work on real client problems in regulated domains such as healthcare. · Experience in data‑driven storytelling, insights generation, and solution recommendation. · Practical understanding of responsible AI, governance, and ethical AI practices. · Mentorship from experienced AI consultants and architects.


Learning outcomes for the Trainee:

By the end of the traineeship, the AI Developer  will: · Understand how to analyze business problems and map them to AI solutions. · Gain practical experience in Python-based AI development and OpenAI integrations. · Learn to perform effective data analysis and insight generation. · Develop foundational consulting skills such as requirement analysis, documentation, and stakeholder communication. · Build awareness of AI solution lifecycle—from ideation to deployment. · Be prepared to transition into roles such as AI Consultant, Associate AI Engineer, or Generative AI Specialist.