Generative AI Developer

This is a fully remote position, open to applicants in Arizona, +28 more states.

📋 Description

• Develop, test, and launch applications powered by large language models and machine learning technologies

• Analyze system logs for API errors, latency problems, and the quality of deployed model outputs

• Enhance and evaluate system prompts to boost response precision and minimize inaccuracies

• Integrate LLMs such as GPT-4 or Claude with internal databases using Retrieval-Augmented Generation (RAG) frameworks

• Create Python pipelines to process data, embed documents, and handle vector databases like Pinecone or Milvus

• Fine-tune model parameters or train smaller open-source models on company-specific domain data

• Work alongside product managers and software engineers to ensure AI features meet user requirements

• Assess applications for safety, bias, and potential edge-case failures utilizing automated testing tools

• Monitor token usage and API expenditures to enhance cloud infrastructure efficiency

• Implement code updates to production environments using CI/CD pipelines

⛳️ Requirements

• Experience in designing and deploying AI-enabled applications and autonomous systems in a production setting

• Expertise in constructing multi-agent architectures, incorporating planner, executor, reviewer, critic, and supervisor roles

• Proficiency in developing tool-calling, function-calling, and memory-augmented agents

• Familiarity with LangChain, LangGraph, and similar frameworks for orchestration and workflow design

• Knowledge of DSPy, prompt engineering, and optimization methods

• Experience in building production-ready AI services using Python

• Integration skills with Anthropic, OpenAI, and other open-source models

• Ability to design RAG solutions utilizing vector databases

• Experience in integrating AI systems with enterprise platforms via APIs, workflows, events, and data services

• Implementation of observability, evaluation, and optimization strategies for AI systems, including tracing, decision logging, and performance monitoring

• Familiarity with governance, security, privacy, and compliance frameworks, preferably in regulated sectors

• Proven ability to lead complex technical projects while collaborating with engineering, product, business, risk, and compliance teams

• Overall 10+ years of technology experience, including the delivery of scalable, resilient digital products

🏝️ Benefits

• Generous time off policy, including personal leave and volunteering opportunities

• Tuition reimbursement and opportunities for professional development

• Flexible remote work options

• Charitable contribution matching programs

• Opportunities for stock purchases

• Comprehensive health and welfare benefits

• 401K savings plan

• Wellbeing programs

• Employee assistance programs

• Performance-based incentives may be available