AI Developer (Part-Time)

Overview

We're looking for a AI Developer (Part-Time). Headquartered in Los Angeles, California, Right Balance provides top-tier technology talent for innovative companies in the US. We’re in the top 50 companies to watch in LA.

Engagement Details

Our client is dedicated to advancing the security of AI and ML systems, providing comprehensive visibility and proactive protection to multi-modal systems, ensuring a safer, compliant, and resilient AI-powered future.

We are seeking a highly skilled and experienced AI Developer to join our team. The ideal candidate will be responsible for helping our lead AI researcher build out our LLM guardrails, model evaluations systems, and ML Ops pipelines including dataset scraping, normalization, and tool generation. In addition, you may be tasked with developing generative AI applications, including retrieval-augmented generation systems, chain-of-thought reasoning models, ReAct techniques, agents, and sophisticated chatbots for privacy-focused customers.

Key Responsibilities

Train And Fine-tune AI Models

Train best-use models to recognize security exploits. Implement approaches in AI models to improve the detection of exploits. Create AI agents for specific tasks like cybersecurity simulations based on fine-tuned LLMs.

Development Of Tools For Synthetic Dataset Generation

Create AI tools specific to generating security exploits.

Development Of Web Scrapers For Data Set Creation

Web scraping of text and video for ingestion of content for continuous LLM fine-tuning using the latest exploits.

Cybersecurity Simulations

Develop AI-driven cybersecurity agents capable of simulating various cybersecurity attacks for testing and training purposes. Build Tools for Predictive Analytics: Perform tasks related to predictive analytics, for fraud detection, or user behavior.

Generative AI Development

Build advanced chatbots capable of understanding and answering queries based on large documents using private large language models. Design and develop on top of models to enable real-time interactive AI security agents. Develop and optimize retrieval-augmented generation (RAG) applications for industry-specific information retrieval use cases.

DevOps And Backend Support

Ensure the smooth deployment and operation of AI models, including continuous integration and delivery (CI/CD), containerization, and cloud services management.

What’s in it for you

Learn and evolve your skills using the latest and greatest technology tools in a rapidly growing company. Learn from the best people around you. We constantly challenge the status quo and invent new ways of building a great product. Flexible hours. Join daily standups, sprint planning, and retrospective meetings. Other than that you’re in control of your own schedule. 100% remote. Work anywhere, whether it is remotely in the comfort of your home, in a shared co-working space, in an RV on the beach, or while being a nomad in another country. Work on challenging problems, innovate, and positively impact many people's lives while having fun doing it.

Required Qualifications

Upper-intermediate to fluent speaking and writing English. Able to have a real-time conversation. 3+ years of full-time hands-on Software Development experience. 2+ years of full-time hands-on JavaScript experience. 2+ years of full-time hands-on Python backend (Django, FastAPI, Flask, asyncio, or similar) experience. 1+ years of full-time hands-on AWS (or GCP, or Azure) experience. 1+ years of full-time hands-on Docker or Kubernetes experience. 0.5+ years of full-time hands-on AI Development experience. Bachelor’s or greater degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A verifiable body of work with significant responsibility for the design and development of production AI and machine learning solutions. Strong proficiency in programming languages Python, JavaScript. Experience with generative AI models and fine-tuning techniques for models including GPT, LLAMA, Claude and other transformer models. Proficient in using AI development tools and frameworks like TensorFlow, PyTorch, HuggingFace etc. Experience with cloud platforms, and their AI offerings and the tradeoffs between them (GCP, Azure, AWS) Knowledge of frameworks like LangChain, LlamaIndex, knowledge of their limitations, and ability to use them anyway. Experience with containerization technologies (Docker, Kubernetes).

Nice to haves

Strong understanding of machine learning, neural networks, and AI principles. Experience in NLP (Natural Language Processing) and deep understanding of LLMs. Prior work on generative models for video and multimedia content is desirable. Knowledge of cybersecurity principles and simulation techniques. Familiarity with best practices for DevOps, and DevOps tools such as Terraform, Ansible Proficiency in front-end technologies for creating user interfaces for AI applications, including JavaScript frameworks such as React, Nest.js, Svelte, and demo application tools such as Stream lit and Gradio. Confidence to communicate effectively the approach, status, and problems encountered during development. Excellent ability to imagine what is possible, without being able to rely on prior work, as none may exist.

Frequently Asked Questions

What are your typical clients?

The majority of our clients are venture-backed startups at the growth stage. Usually, at this stage, the company already achieved a product-market fit and is looking to expand rapidly. That’s where we bring the best engineering practices, strong architecture, the latest technologies, and consistent processes to help companies scale.

What is the length of your engagements?

Most of our long-term full-time engagements last multiple years. It allows you to evolve your career with the client company taking on more responsibilities.

What’s your company size?

The Right Balance team is 60+ engineers going to 100+ by the end of the year. The current client size team is 7+ people. The timing is great to be a part of a rapidly growing team making meaningful contributions.

What happens if the engagement is completed?

Most of our engagements are long-term in nature. That said, if the current engagement is ramping down, we’ll present you with more long-term opportunities to transition into.

What are your core values?

Client First: we only win when our clients win. We treat client challenges as our own.

Ownership: we embrace responsibility, taking on challenges, getting them to completion, and enjoying getting things done.

Quality: we’re passionate about achieving quality outcomes by applying meticulous attention to detail.

Key Skills

• FastAPI