AI Engineer
Role Overview
Design, develop, and deploy AI-powered applications and machine learning solutions.
Build production-ready systems using large language models, machine learning frameworks, and cloud platforms.
Collaborate across teams to deliver AI products that solve business problems.
Key Skills for This Role
Full Job Posting
Role overview
Design, develop, and deploy AI-powered applications and machine learning solutions.
Build production-ready systems using large language models, machine learning frameworks, and cloud platforms.
Collaborate across teams to deliver AI products that solve business problems.
Responsibilities
- Design, build, and deploy AI and machine learning models for production.
- Develop LLM-powered applications, RAG pipelines, and AI agents.
- Integrate AI models with APIs, databases, and third-party platforms.
- Fine-tune, evaluate, and monitor models for performance, accuracy, and reliability.
- Develop scalable backend services and optimize prompts and AI workflows.
- Collaborate with product managers, designers, and software engineers to deliver AI-driven features.
- Meet security, privacy, and ethical AI standards; recommend improvements based on emerging technology.
Required qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field, or equivalent practical experience.
- At least 3 years of software development experience and 2 years of hands-on machine learning or generative AI experience.
- Proficiency in Python.
- Experience with LangChain, LlamaIndex, or similar AI frameworks; PyTorch, TensorFlow, or scikit-learn; LLM APIs; and vector databases.
- Familiarity with REST APIs, Git, Docker, and AWS, Azure, Google Cloud, or similar platforms.
- Strong problem-solving and communication skills.
Preferred qualifications
- Production AI deployment experience, MLOps, CI/CD, Kubernetes, SQL or NoSQL, data engineering or ETL, model evaluation and monitoring, or experience building chatbots, copilots, or autonomous agents are preferred.
Employment
- The description specifies full-time employment.
Workplace
- The description specifies in-person work.
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