Accelon Inc.

AI Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Developer on a remote contract, offering competitive pay. Candidates should have 3+ years of experience in Python, TypeScript, AWS (SageMaker), and integrating OpenAI APIs, along with a background in enterprise AI applications and machine learning workflows.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date
October 16, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Scala #AI (Artificial Intelligence) #Observability #Deployment #Flask #Cloud #Databases #Python #SAP #Research Skills #IAM (Identity and Access Management) #Process Automation #Version Control #Data Engineering #ML (Machine Learning) #SageMaker #Lambda (AWS Lambda) #Security #Model Evaluation #S3 (Amazon Simple Storage Service) #Data Science #API (Application Programming Interface) #FastAPI #AWS (Amazon Web Services) #Data Processing #TypeScript #Computer Science #Automation #SAP Fiori #ChatGPT #GIT
Role description
This is a remote position. We seek an innovative and skilled AI Developer to join our 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. You will work on designing, integrating, and deploying AI-powered solutions that enhance enterprise business processes and user experiences. Key Responsibilities: β€’ Design and develop AI applications integrating OpenAI GPT models (or equivalent LLMs) via secure, scalable APIs using MCP infrastructure. β€’ Build Python-based backend services for data processing, model invocation, and API exposure to downstream applications β€’ Design, implement, and maintain AWS deployment pipelines to enable reliable, automated, and scalable application delivery β€’ Implement and deploy custom machine learning models with Amazon SageMaker, including tasks such as training, tuning, and managing inference pipelines. β€’ Design and develop MCP servers/clients or MCP enabled functions to facilitate connections between AI models, various data sources, APIs, and business systems. β€’ Collaborate with product owners, data engineers, and SAP developers to deliver features that meet business requirements. β€’ Adhere to MLOps best practices, including version control, CI/CD pipelines, and model observability. β€’ Support AI use case discovery and feasibility assessments, particularly in generative AI and enterprise process automation contexts. Requirements β€’ Min 3+ years of relevant experience in implementing AI solutions using Python and TypeScript development, including good exposure in frameworks like Flask and FastAPI. β€’ Skilled in integrating OpenAI APIs (e.g., ChatGPT, GPT-4) and other large language model platforms. β€’ Hands-on experience with AWS services: SageMaker (model training, deployment, endpoints), Lambda, S3, API Gateway, IAM, and security policy management. β€’ Experience in Cloud Formation Scripts, Serverless Frameworks etc. for build & deployment. β€’ Solid understanding of machine learning workflows, including model evaluation, tuning, and feature engineering. β€’ Familiar with vector databases (Pinecone, FAISS) and Retrieval-Augmented Generation (RAG) techniques. β€’ Experience developing document processing systems, chatbots, and recommendation engines for enterprise use. β€’ Proficient in Git and collaborative software development practices. β€’ Knowledgeable in prompt engineering, LLM limitations, and safe deployment practices. β€’ Strong problem-solving and research skills β€’ Excellent communicator and collaborative team player, with experience working effectively across culturally and geographically diverse teams. Preferred Qualifications: β€’ Experience with or exposure to SAP Business AI, SAP Joule, or SAP AI Core & Launchpad. β€’ Familiarity with SAP S/4HANA data models or SAP Fiori applications. Soft Skills: β€’ Ability to solve problems and debug effectively. β€’ Skilled in communicating and collaborating with both technical and non-technical teams. β€’ 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. Benefits β€’ We offer healthcare plans, which you may opt into at your own expense. β€’ Sick leave is provided under the state laws applicable to your residence. Who can apply - β€’ Candidates with independent work authorization, open to W2 contract or C2H roles. β€’ At this time we are NOT sponsoring work visas. β€’ Should have worked 40 hours a week in the US for at least 3 years. β€’ We DO NOT work with 3rd party vendors, or hire on C2C terms. Please apply only if you meet these criteria, as unrelated applications will not be reviewed