You will use Python, JavaScript, Microsoft 365, Power Platform (Power Apps, Power Automate), and APIs to design, build, and enhance internal applications, automations, and AI-powered solutions. This role supports a technology-led company investing in AI and automation by developing internal tools that improve business efficiency and productivity.

Mid-level Software Engineer role using Python, Git, GitHub/GitLab, TDD, unit/automated testing, Unix, and agile frameworks. You will work on Suade’s regtech SaaS platform that automates regulatory reporting, compliance, and financial risk solutions for Tier 1 banks.

You will work daily with TypeScript, React, and Python across the full DeepEditor stack. The product is an AI-powered performance editing tool for Hollywood studios. As the technical anchor, you will mentor a growing team of fifteen engineers.

You will work with Python, AWS, and Kubernetes supporting the Forward Deployed Engineering team at a pre-seed voice AI startup building infrastructure for emerging markets, processing thousands of daily calls with proprietary speech models.

Build and deploy production-grade agentic systems and RAG pipelines using Python, TypeScript, FastAPI, and React. As a founding engineer, you will lead architectural development of an AI-driven agency model replacing manual workflows with autonomous agents to redefine the global property market.

Build AI-enabled products using Python, TypeScript, Java or Go at a YC-backed AI start-up. Work directly alongside founders to ship customer-facing solutions and shape both product and engineering culture from day one.

As a founding AI engineer, you will work with LLMs, Python, PostgreSQL, and React/TypeScript to build production-ready algorithms and evaluation pipelines for patent generation. You will lead proprietary algorithm development for Solveintelligence’s AI platform, which transforms the intellectual property landscape for 400+ global enterprise customers like DLA Piper.

You will work with LLMs, chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI to build cognitive systems. The Science team designs memory and decision-making frameworks to create synthetic populations for behavioral prediction.

Design and evolve multi-agent systems and LLM pipelines on AWS Bedrock using LangGraph, Strands, Python, and frameworks like CrewAI. You will architect agent topologies, manage cloud infrastructure (ECS Fargate, Lambda, Step Functions), and build evaluation frameworks for AMPLIFYR’s AI-powered brand analytics platform.