AI Engineer

1 day ago

Alpharetta, GA, USAMid Level

Responsibilities

Design, develop, and deploy machine learning, deep learning, and generative AI models for automation, personalization, and decision-making.
Build and maintain scalable ML pipelines and agentic workflows using cloud-native tools and modern AI frameworks.
Collaborate with data scientists, product managers, and engineers to translate business requirements into AI-powered solutions.
Implement AI solutions using GCP Vertex AI, AWS Bedrock and SageMaker, and Snowflake Cortex.
Apply prompt engineering, RAG, fine-tuning, and RLHF to improve model performance.
Develop and deploy autonomous AI agents using LangChain, LangGraph, and AgentSpace.
Integrate vector databases and LLM orchestration tools to support retrieval and memory in generative systems.
Maintain MLOps practices including deployment, monitoring, versioning, retraining, and model lifecycle management.
Evaluate emerging AI tools and techniques and contribute to documentation, knowledge sharing, and responsible AI best practices.
Collaborate across teams, manage multiple assignments, meet deadlines, and adapt to changing business priorities.

Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
At least 4 years of experience in AI/ML engineering with a strong foundation in ML/DL algorithms and systems.
Proficiency in Python and ML libraries including TensorFlow, PyTorch, and Transformers.
Hands-on experience with generative AI models such as GPT, Mistral, and Claude, and with agentic AI systems.
Experience with NLP, conversational AI, LLM-based applications, vector search, and semantic retrieval technologies.
Strong understanding of MLOps, including model deployment, monitoring, and retraining.
Experience building production-grade AI systems at scale in cloud environments and hands-on development on Google Cloud Platform.
Preferred experience with prompt engineering, RLHF, LLM evaluation, AI governance, safety, responsible AI, reinforcement learning, multi-agent systems, and autonomous workflows.
Preferred experience with Apache Spark, Kafka, real-time data processing, data engineering, BigQuery, Snowflake, CI/CD pipelines, infrastructure-as-code, and cloud-native AI tooling.
Strong problem-solving, communication, collaboration, organizational, critical-thinking, and interpersonal skills, with the ability to work independently and proactively.

The posting directs applicants to the company benefits page for benefits information.
The role is part of inclusive, global teams with opportunities for learning, collaboration, and career growth across borders.
Applicants must be authorized to work in the U.S. without current or future employment-based visa sponsorship; the company will not sponsor employment-based visas for this opportunity.