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Freelance Embedded Systems Jobs in Kentucky (NOW HIRING)

$40.75 - $52.50/hr

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an ... We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded ...

New

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an ... versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to ...

... embedded and firmware, machine learning systems, developer tooling and platform engineering, or ... Roles hired through Cincinnatus are not project‑based or freelance engagements. They are ...

$65 - $105/hr

... embedded and firmware, machine learning systems, developer tooling and platform engineering, or ... Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured ...

Freelance Embedded Systems information

What is a freelance embedded systems engineer?

Freelance embedded systems engineers are professionals who work independently to design, develop, and maintain embedded systems for clients on a project basis. Embedded systems are specialized computing systems that are part of larger electronic devices, such as medical equipment, automotive controls, and consumer electronics. Freelancers in this field typically have expertise in hardware and software integration, real-time operating systems, and programming languages like C or C++. They offer flexibility to companies needing specific expertise without committing to full-time hires.

What are the key skills and qualifications needed to thrive as a freelance embedded systems engineer?

A Freelance Embedded Systems Engineer needs expertise in microcontroller programming, hardware-software integration, and a solid understanding of electronics, typically backed by a degree in electrical engineering or a related field. Familiarity with development tools such as Keil, IAR, or Eclipse IDE, and experience with real-time operating systems (RTOS) and protocols like SPI, I2C, and UART are commonly required. Strong problem-solving, communication, and self-management abilities help freelancers deliver quality results and maintain client relationships. These skills and qualifications are critical for efficiently developing robust embedded solutions and succeeding in a competitive, project-driven freelance environment.

What are some common challenges freelance embedded systems engineers face when working with clients remotely?

Freelance embedded systems engineers often encounter challenges such as managing communication across different time zones, clarifying technical requirements without in-person meetings, and ensuring hardware compatibility when clients provide limited access to equipment. Additionally, coordinating testing and debugging processes remotely can be complex, especially when physical prototypes are involved. Proactive communication, clear documentation, and utilizing remote collaboration tools can help address these challenges effectively.

What are the most commonly searched types of Embedded Systems jobs in Kentucky?

The most popular types of Embedded Systems jobs in Kentucky are:

What are popular job titles related to Freelance Embedded Systems jobs in Kentucky?

For Freelance Embedded Systems jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Freelance Embedded Systems jobs in Kentucky look for?

The top searched job categories for Freelance Embedded Systems jobs in Kentucky are:

What cities in Kentucky are hiring for Freelance Embedded Systems jobs?

Cities in Kentucky with the most Freelance Embedded Systems job openings:

Infographic showing various Freelance Embedded Systems job openings in Kentucky as of August 2026, with employment types broken down into 82% Full Time, 7% Part Time, 7% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior AI Platform Engineer (#5640)

On-site

$40.75 - $52.50/hr

Other

Posted 3 days ago

New


Job description

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

•••• is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client

is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

The client is also building out its AI platform and agentic capabilities: it recently launched an MCP surface in closed beta, giving external AI assistants a structured way to connect and perform real workflows behind guardrails, and treats agent reliability as a system property (tool contracts, approval/consent gates for write actions, evaluation harnesses).

We're looking for a Senior AI Platform Engineer to design, build and operate the shared GenAI infrastructure that product teams rely on.

Key Responsibilities
  • Design, build and operate shared GenAI infrastructure: LLM routing, vector search and RAG infrastructure, MCP gateway, and AI observability/evaluation tooling.
  • Apply strong distributed-systems fundamentals: async workflows, idempotency, failure design.
  • Work hands-on with LLM APIs in production.
  • Apply an AI-security mindset: prompt injection defenses, PII-in-logs handling, credential handling.
  • Apply real engineering rigor to the Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe the context that powers AI agents.
  • Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
  • Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).
Must-Have Skills
  • Kotlin or Python as primary proficiency, with comfort contributing to both.
  • Experience designing/building/operating shared GenAI infrastructure: LLM routing; vector search and RAG infrastructure; MCP gateway; AI observability and evaluation tooling.
  • Strong distributed-systems fundamentals: async workflows, idempotency, failure design.
  • Hands-on production experience with LLM APIs.
  • AI-security mindset: prompt injection, PII in logs, credential handling.
  • Agent & harness engineering fluency, with concrete evidence of building/or operating this kind of tooling, not just using it.
  • Comfortable with the client's current daily tools: Claude Code and GitHub Copilot.
Nice-to-Have Skills
  • Specific cloud depth (AWS and/or GCP), Grafana, or named LLM API vendors. The RFP describes these capabilities generically rather than naming specific tools for this role — listed here as plausible, not confirmed.
We offer*
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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