Artificial Intelligence Engineer

Role: AI Developer – Python, AWS, LLM Integration Location: 100% Work from home Duration: 7 Months Contract with high possibility of extension Must have Skills: • MCP, LLM Integration, SAP Business AI • Python • AWS SageMaker Job Description: • We are seeking an innovative and skilled AI Developer to join our team in building next-generation intelligent applications. • The ideal candidate will have deep expertise in Python, AWS cloud services (especially SageMaker), and large language models (LLMs), with a foundational understanding of SAP Business AI. • In this role, you will design, integrate, and deploy AI-powered solutions that enhance enterprise business processes and user experiences. Key Responsibilities: • Design, develop, and deploy AI applications by integrating large language models (e.g., OpenAI GPT) via secure, scalable APIs using MCP (Model Context Protocol) infrastructure. • Build robust, Python-based backend services and APIs (using frameworks like FastAPI/Flask) for data processing, model invocation, and integration with downstream applications. • Implement and manage custom machine learning models using Amazon SageMaker, including training, tuning, and deploying inference endpoints. • Design, develop, and maintain MCP servers and clients to facilitate seamless connections between AI models, data sources, APIs, and business systems. • Architect and maintain reliable, automated AWS deployment pipelines using services like CloudFormation and Serverless Framework to ensure scalable application delivery. • Collaborate with product owners, data engineers, and SAP developers to deliver features that meet business requirements. • Adhere to MLOps best practices, including version control (Git), CI/CD pipelines, and model monitoring/observability. • Support AI use case discovery and feasibility assessments, with a focus on generative AI and enterprise process automation. Required Qualifications • 3+ years of professional experience implementing AI/ML solutions. • Strong proficiency in Python and experience with backend frameworks like Flask or FastAPI. • Hands-on experience integrating OpenAI APIs (e.g., ChatGPT, GPT-4) or equivalent large language models. • Proven expertise with AWS services, including: SageMaker (model training/deployment), Lambda, S3, API Gateway, and IAM. • Experience with infrastructure-as-code tools such as AWS CloudFormation or the Serverless Framework. • Solid understanding of machine learning workflows, model evaluation, and feature engineering. • Familiarity with vector databases (e.g., Pinecone, FAISS) and Retrieval-Augmented Generation (RAG) techniques. • Experience building AI-powered applications such as document processing systems, chatbots, or recommendation engines. • Proficient in Git and collaborative software development practices. • Strong problem-solving, research, and analytical skills. • Excellent communication skills with a proven ability to work effectively in culturally and geographically diverse teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. 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: • A proactive problem-solver with effective debugging skills. • Skilled at communicating complex technical concepts to both technical and non-technical stakeholders. • Demonstrates initiative and a strong passion for learning and working with emerging AI technologies.