Generative AI Engineer

We seek an innovative and skilled AI Developer to join our client's team in building next-generation intelligent applications. The ideal candidate has hands-on experience with large language models (LLMs) like those from OpenAI, strong Python development skills, expertise in AWS cloud services (especially SageMaker), and a foundational understanding of SAP Business AI. If you are interested and qualified (qualifications below) apply ASAP with your resume, as this role will halt in about 48 hours. Not allowed: 3rd party agency candidates, C2C, 1099 or sponsorship • 📆 6-month contract through 04/19/2026 with possible extensions/conversion • 🌎 Remote, WFH - US based candidates only, prefer PST based candidates • 💲 $62.00/hour W2 • ❤ Capstone contributes $250/month towards your medical premium when you participate in our employer plan (many Blue Shield/Kaiser plans to select from). Dental plans and a Roth IRA are available. Sick/PTO is earned depending on your locale. Key Responsibilities: You will work on designing, integrating, and deploying AI-powered solutions that enhance enterprise business processes and user experiences. • Design and develop AI applications integrating OpenAI GPT models (or equivalent LLMs) via secure, scalable APIs using MCP infrastructure. • Build Python-based backend services for data processing, model invocation, and API exposure to downstream applications • Design, implement, and maintain AWS deployment pipelines to enable reliable, automated, and scalable application delivery • Implement and deploy custom machine learning models with Amazon SageMaker, including tasks such as training, tuning, and managing inference pipelines. • Design and develop MCP servers/clients or MCP enabled functions to facilitate connections between AI models, various data sources, APIs, and business systems. • Collaborate with product owners, data engineers, and SAP developers to deliver features that meet business requirements. • Adhere to MLOps best practices, including version control, CI/CD pipelines, and model observability. • Support AI use case discovery and feasibility assessments, particularly in generative AI and enterprise process automation contexts. Required Skills & Experience: • Min 3+ years of relevant experience in implementing AI solutions using Python and TypeScript development, including good exposure in frameworks like Flask and FastAPI. • Skilled in integrating OpenAI APIs (e.g., ChatGPT, GPT-4) and other large language model platforms. • Hands-on experience with AWS services: SageMaker (model training, deployment, endpoints), Lambda, S3, API Gateway, IAM, and security policy management. • Experience in Cloud Formation Scripts, Serverless Frameworks etc. for build & deployment. • Solid understanding of machine learning workflows, including model evaluation, tuning, and feature engineering. • Familiar with vector databases (Pinecone, FAISS) and Retrieval-Augmented Generation (RAG) techniques. • Experience developing document processing systems, chatbots, and recommendation engines for enterprise use. • Proficient in Git and collaborative software development practices. • Knowledgeable in prompt engineering, LLM limitations, and safe deployment practices. • Strong problem-solving and research skills • Excellent communicator and collaborative team player, with experience working effectively across culturally and geographically diverse teams. Preferred Qualifications: • Experience with or exposure to SAP Business AI, SAP Joule, or SAP AI Core & Launchpad. • Familiarity with SAP S/4HANA data models or SAP Fiori applications. Soft Skills: • Ability to solve problems and debug effectively. • Skilled in communicating and collaborating with both technical and non-technical teams. • Demonstrates initiative and interest in working with new AI technologies. Education: • Bachelor’s or master’s in computer science, Data Science, AI, or a related field.