AI Engineer - Python, AWS, LLM Integration

Role: AI Developer Python, AWS, LLM Integration

Location: 100% Remote

Duration: 7+ Months (Possible Extension)

Position Overview

• 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

• Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.
• 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.

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.