AI Engineer
AI Engineer
Posted on :
23-08-2025
Employer Active
1 Vacancy
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Job Description
Hi All
Job Title: AI Engineer
Location: Hybrid(Newyork NY)
Duration: Long-term
Primary skills: AI ML Generative AI GitHub CoPilot Prompt Engineering
About the job:
We are looking for an experienced AI Engineer with a strong background Artificial Intelligence Machine Learning Generative AI Coding Assistants AI Assistants and Agile Software Development. The successful candidate will be responsible for every stage of AI Generative AI development from conceptualization and design to rigorous testing and successful deployment.
Key Responsibilities
AI & ML:
- Develop implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications.
- Collaborate with cross-functional teams including data scientists software engineers to integrate AI solutions into existing products and services.
- Hands-on expertise in Python programming and familiarity with AI and machine learning frameworks.
- Conduct data analysis preprocessing and feature engineering to extract valuable insights using Generative AI LLMs.
- Stay updated on the latest AI ML Generative AI advancements research papers tools incorporating them into AI development projects.
- Optimize Generative AI models for performance scalability and efficiency leveraging cloud-based resources and distributed computing frameworks.
- Actively participate in code reviews and collaborative problem-solving sessions contributing to the improvement of AI solutions and development processes.
- Troubleshoot and resolve AI-related issues ensuring the reliability and accuracy of AI-driven applications
Generative AI Copilots Coding Assistants:
- Hands-on experience with AI coding assistants (e.g. GitHub Copilot) and other AI-driven development tools.
- Design develop and maintain IDE extensions for popular development environments such as Visual Studio Code IntelliJ IDEA Eclipse and others.
- In depth understanding of concepts related to prompt engineering LLM models context window management Agentic Systems & workflows.
- Design and develop custom generative models tailored to specific applications.
- Experiment with various neural network architectures such as GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) and more.
- Data cleaning chunking & populating data into vector stores.
- Experience integrating AI APIs such as OpenAI Azure OpenAI LangChain etc.
- LLM Data stores - Azure Cosmos DB or Azure AI Search.
- Agentic workflows - LangChain llama Semantic kernel or AutoGen.
- Azure AI services - specific to GenAI or Agentic Workflow related services such as Azure OpenAI OpenAI Assistants/AI Agents.
- Proficiency with CI/CD and automation tools: GitHub Actions Azure DevOps VS Code.
- Previous involvement in copilot projects for areas like development customer support
Prompt Engineering:
- Developing testing and refining AI-generated text prompts.
- Collaborating with content product and data teams to align prompts with company goals and user needs.
- Continuously improving prompt quality performance and the overall AI prompt generation process.
- Experiment with different prompts to optimize AI performance and ensure accuracy and relevance.
- Building a prompt library Integrating prompts into workflows and applications Training and tuning AI models.
- Create prompt templates and frameworks for specific use cases.
- Troubleshoot and refine prompts that produce suboptimal results.
Required Skills & Qualifications:
- Hands-on Experience in either of the following programming languages Python /C# / Java/ JavaScript.
- AI-centric libraries like TensorFlow PyTorch Keras.
- Expertise in generative models such as generative adversarial networks (GANs) variational autoencoders (VAEs).
- Hands-on Experience in using Coding Assistants GitHub Copilot Codium ChatGPT.
- Hands-on Experience in using Agentic AI Platforms Microsoft Copilot Agents AutoGPT CrewAI Anthropic Claude etc.
- Cloud & MLOps: AWS SageMaker Azure ML Google AI Platform.
- Experience with cloud platforms like AWS Azure GCP.
- Problem-Solving & Analytical Thinking: Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.
- Communication Skills: Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.
Optional Skills & Qualifications:
- Experience in developing managing products/solutions Platform / Java Platform either the Full Stack & Monolith.
- Experience with CI/CD pipelines (e.g. Jenkins GitLab CI) and DevOps tools (e.g. Docker Kubernetes) for continuous delivery of Java applications.
- Basic understanding of cloud security best practices.
Employment Type
Full-time
Key Skills
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