

Accelon Inc.
AI Developer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date
October 16, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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:
Bachelorβs or masterβs 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
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:
Bachelorβs or masterβs 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