AI Model Integration Freelance Jobs

We are looking for an experienced and creative developer to create a groundbreaking AI Agent Orchestration Platform that combines artificial intelligence and web automation. This platform will allow users to design, manage, and automatically complete tasks on the web using complex AI systems.

Project Overview:
The platform we will develop will offer a comprehensive solution for the creation, management, orchestration, and web-based task automation of AI agents. Users will be able to create customized agents, organize them in a visual interface, and enable them to automatically perform various tasks on the web.

Key Features:
Web-Based Task Automation:

An advanced system that allows agents to complete tasks on the web on behalf of the user.
Capabilities for interacting with web pages, filling out forms, extracting data, and performing transactions.
Automating complex workflows and working with multiple web applications.
Prompt-Based Agent Creation Engine:

A system for creating customized AI agents with natural language commands.
A vast library of agent templates and customizable parameters.
An intelligent analysis system that automatically determines the capabilities and limitations of agents.
Visual Agent Design Interface:

A user-friendly interface with drag-and-drop features.
Visualization tools for agent flows and web automation processes.
Real-time preview and simulation features.
Multi-Agent Orchestration System:

An intelligent orchestration engine that manages the interaction of agents with different roles.
Automatic optimization algorithms for task distribution and resource management.
Communication protocols and conflict resolution mechanisms between agents.
Real-Time Performance Monitoring and Analytics:

Comprehensive metrics that measure the performance of agents and web automation tasks.
Customizable dashboards and reporting tools.
Anomaly detection and automatic alert systems.
Integrated Development Environment (IDE):

A full-fledged IDE for editing agent codes and web automation scripts.
Features such as syntax highlighting, auto-completion, and code refactoring.
Integrated version control system.
AI Model Integration:

Ability to integrate popular AI models into the platform.
Tools for training and integrating custom AI models.
Model performance comparison and optimization tools.
Security and Ethical Control System:

Mechanisms that ensure AI agents and web automations comply with ethical rules.
Advanced encryption and access control systems for data privacy and security.
Audit trail and compliance reporting tools.
API and Integration Layer:

Comprehensive APIs for easy integration with third-party applications.
Support for webhooks and event-driven architecture.
Integration with popular workflow and automation tools.
Agent and Automation Marketplace:

A marketplace where users can share their custom agents and web automation scripts.
Community forums, knowledge base, and training materials.
Agent and automation rating system.

Keep in mind, our initial application will be a highly-featured, LangFlow-like platform. We will create an automated MultiOn-style agent that can be tested from a separate screen. A project similar to Crewa.ai will be developed from scratch. Additionally, searches will be conducted via prompts, automatically generating RAGs to quickly create agents. This will involve RAG-based development and optimization, with monitoring and oversight from a dashboard, akin to AgentOps

About Us:
We are a small team of experienced Software Engineers developing a platform for customized AI agents creation and other related services.

Role Overview:
We are seeking a Python developer experienced with Langchain and proficient in optimizing services integrating Langchain library. You will be responsible for enhancing our service's accuracy, efficiency, and scalability.

Key Responsibilities:
- Develop and maintain a Python microservice using FastAPI for API-driven index creation.
- Implement websocket endpoints to facilitate real-time interactions with agents.
- Optimize RAG usage with FAISS for improved context relevance in long conversations, as well as come up with elegant promptings.
- Address issues with small talk handling and enhance support for CSV/Excel file embeddings.
- Implement token usage calculations for Langchain and OpenAI integration in streaming flows.

Requirements:
- Proficiency in Python and experience with Langchain library and RAG.
- Strong understanding of FastAPI and websocket communication.
- Familiarity with FAISS or similar vector stores for efficient information retrieval.
- Experience in Dockerizing services for deployment.

Preferred Qualifications:
- Previous work on AI conversational agents or similar projects.
- Familiarity with NLP frameworks and AI model integration challenges.

I require quick assistance to run AI models on my e75 Tenstorrent PCIe card. The main objective is to save CPU resources.

Here are some details -
I Installed Tenstorrent e75 PCIe card, drivers downloaded but AI models are running in CPU and uses CPU power & System RAM.
Installed ollama, but it does not detect AI Accelerator to run AI models which is available under "lspci" in ubuntu
I wanted to move the processing of AI models to PCIe card based on model size and some models can use system ram if model size exceed the PCIe card 8 GB RAM.
You will be provided access to PC.

Deliverables
Successfully running AI models in e75 Tenstorrent PCIe card, releasing CPU usage for other workload.

Skills: Linux, AI Model Integration

We are seeking a talented and experienced Backend Developer with expertise in Azure development, Python, custom APIs, LangChain, and OpenAI integration. The ideal candidate will have a strong understanding of full-stack development and be capable of handling multiple API calls efficiently. As a key member of our development team, you will be responsible for building and maintaining the backend infrastructure for our fintech applications.

Responsibilities:

Design, develop, and maintain scalable and efficient backend solutions using Azure services and Python.
Develop and integrate custom APIs to support frontend functionalities and external services.
Implement and manage LangChain for effective data processing and AI model integration.
Integrate OpenAI and other AI models to enhance application features and performance.
Collaborate with frontend developers to ensure seamless integration and functionality across the full stack.
Optimize API performance and ensure reliable data exchange between services.
Implement security best practices and ensure data protection and privacy compliance.
Monitor and troubleshoot backend issues, ensuring high availability and reliability.
Participate in code reviews, provide constructive feedback, and ensure code quality and best practices.
Stay updated with emerging technologies and industry trends to continuously improve backend systems.
Requirements:

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Proven experience as a Backend Developer with a strong focus on Azure development and Python.
Proficiency in designing and implementing custom APIs.
Experience with LangChain and its application in data processing and AI integration.
Knowledge of OpenAI and other AI models, with practical experience in integrating them into applications.
Strong understanding of full-stack development and the ability to collaborate effectively with frontend developers.
Experience with multiple API calls and handling large datasets.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Knowledge of database systems (SQL, NoSQL) and data modeling.
Strong problem-solving skills and the ability to troubleshoot complex issues.
Excellent communication skills and the ability to work collaboratively in a team environment.

We are looking for an experienced AI/Machine Learning Developer to join our team and enhance our online music rating platform. This platform allows musicians to upload their tracks for evaluation by our AI/machine learning model. Currently, our AI model assesses uploaded music, provides ratings on a 1-5 scale, a score from 0-100%, and brief feedback generated by OpenAI.

Your role will focus on improving the quality and detail of the written feedback. We aim to provide more descriptive feedback that not only explains the rating but also offers constructive suggestions for improving the uploaded songs.

While our internal team manages core platform development and AI model integration, we require a candidate with specialized expertise in AI/machine learning modeling. If you are enthusiastic about using cutting-edge technology to innovate the music industry, we look forward to hearing from you!