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Job Title- AI Engineer

Location- Stamford,CT

Salary Range-  80k to 85k

 

Job Title: AI Developer (Entry-Level)

Role Overview

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:

By the end of the duration, 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.