AI NLP Ops Engineer

September 25

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Expedite Commerce

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eCommerce • Payment Processing • CPQ • Digital Sales Room • Subscription Billing

51 - 200

Description

• You are intelligent, skilled, and approachable. A genuine tech professional with a passion for business; an enthusiast who seamlessly tackles tough challenges using the most powerful tools. You're the one who can listen to a client’s technical concerns, and then relay back solutions directly, concisely, and precisely; steering discussions directly to efficient results. You make the complex simple. • As part of the Expedite Commerce team, every day is an opportunity to evolve, advance your career, and unlock your potential while working as part of a close-knit global team of technologists. If you thrive on creating high-performance solutions and excel at solving intricate problems with AWS technologies, we invite you to join us on this dynamic journey. • As an AI NLP Ops Engineer, you will be responsible for managing, deploying, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges, primarily using AWS Sagemaker and Bedrock technologies and other related infrastructure in AWS. You will play a critical role in ensuring the smooth operation, scalability, and reliability of our AI products, focusing on automation, performance monitoring, and agent lifecycle management.

Requirements

• LLM Agent Development & Deployment: 1-2 years of experience in fine-tuning LLMs and deploying LLM agents, including practical experience with AWS Bedrock, OpenAI Function Calling, Anthropic Function Calling, CrewiAI, Meta GPT framework, and other relevant platforms. • Strong Python Skillset: Proven track record of developing high-quality, efficient Python code, including experience with advanced Python features and best practices. • Integration Skills: Experience with integrating open-source and commercial NLP models and LLM agents, including developing and evaluating prompt engineering techniques. • Technical Proficiency: Strong skills in developing models and agents on cloud platforms, particularly AWS, and implementing serverless AI infrastructures (Utilizing AWS Lambda, Lambda as container, Kinesis, SQS, DDB, Bedrock, OpenAI API, S3, Step Function). • Debugging & Troubleshooting: Expertise in debugging and fixing issues related to LLMs, including identifying root causes of errors, resolving discrepancies in model outputs, and optimizing system performance. • LLM Agent Ops Monitoring and Logging: Strong development experience of production implementation of LLM based agent monitoring. • Communication Skills: Excellent written and verbal communication skills in English, with the ability to present technical concepts clearly with team and clients. • Development Experience: using CI/CD pipeline using AWS CodePipeline, CodeBuild, and CodeDeploy for automated testing and deployment of NLP Solution. • Working experience: in CI/CD solution utilizing AWS services (Code Commit, Code Build & Code Pipeline)

Benefits

• Health Insurance, PTO, and Leave time • Ongoing paid professional training and certifications • Fully Remote work Opportunity • Strong Onboarding & Training program