msai

Location: Istanbul, Türkiye Remote: Yes Willing to relocate: Yes Technologies: C/C++, Rust, Python, Linux, RTOS, TCP/IP, eBPF/XDP, WebRTC, UWB/BLE, embedded/IoT & mesh-connected devices, PostgreSQL, Docker, AI/LLM systems

Résumé / Portfolio: https://msakg.com GitHub: https://github.com/imsakg LinkedIn: https://linkedin.com/in/msakg Email: [email protected]

Lead AI Agent Software Engineer focused on real-time, performance-critical systems across AI, networking, embedded devices, and production infrastructure.

My background sits at the intersection of software and the physical world:

• Currently leading architecture and production hardening of a real-time multimodal AI agent platform — streaming STT → LLM/tools → TTS, WebRTC, asyncio, long-lived state/memory, retrieval, observability, failure handling, cancellation, backpressure, and latency-sensitive execution.

• Previously built real-time networking software for aerial systems using Rust, Linux, eBPF/XDP and IEEE 802.1 TSN concepts, including reliability mechanisms where deterministic behavior and low fast-path overhead matter.

• Earlier developed C/C++ bare-metal and RTOS firmware for access-control/security and embedded/IoT devices — TCP/IP, UART/I2C/SPI, RS232/RS485, Modbus, secure device communication, UWB/BLE localization, sensors, relays and constrained hardware.

I’m most interested in difficult engineering problems where timing, reliability, networking, hardware constraints, and user-facing behavior meet: mission/performance-critical software, real-time systems, embedded/IoT, access control, UWB, distributed device systems, AI infrastructure, backend/platform engineering, and systems software.

I enjoy owning systems end-to-end — architecture, implementation, debugging, benchmarking, deployment, production incidents, and the less glamorous failure modes that only appear in real environments.

I’m looking for a strong engineering team tackling genuinely hard technical problems. Open to Lead/Senior Software, Systems, Embedded, Platform, Backend, Real-Time AI, or similarly hands-on engineering roles.

If you're building something where milliseconds, reliability, hardware, networks, or production correctness actually matter, I'd be very happy to talk.

Location: Istanbul, Türkiye Remote: Yes Willing to relocate: Yes Technologies: C/C++, Rust, Python, Linux, RTOS, TCP/IP, eBPF/XDP, WebRTC, UWB/BLE, embedded/IoT & mesh-connected devices, PostgreSQL, Docker, AI/LLM systems

Résumé / Portfolio: https://msakg.com GitHub: https://github.com/imsakg LinkedIn: https://linkedin.com/in/msakg Email: [email protected]

Lead AI Agent Software Engineer focused on real-time, performance-critical systems across AI, networking, embedded devices, and production infrastructure.

My background sits at the intersection of software and the physical world:

• Currently leading architecture and production hardening of a real-time multimodal AI agent platform — streaming STT → LLM/tools → TTS, WebRTC, asyncio, long-lived state/memory, retrieval, observability, failure handling, cancellation, backpressure, and latency-sensitive execution.

• Previously built real-time networking software for aerial systems using Rust, Linux, eBPF/XDP and IEEE 802.1 TSN concepts, including reliability mechanisms where deterministic behavior and low fast-path overhead matter.

• Earlier developed C/C++ bare-metal and RTOS firmware for access-control/security and embedded/IoT devices — TCP/IP, UART/I2C/SPI, RS232/RS485, Modbus, secure device communication, UWB/BLE localization, sensors, relays and constrained hardware.

I’m most interested in difficult engineering problems where timing, reliability, networking, hardware constraints, and user-facing behavior meet: mission/performance-critical software, real-time systems, embedded/IoT, access control, UWB, distributed device systems, AI infrastructure, backend/platform engineering, and systems software.

I enjoy owning systems end-to-end — architecture, implementation, debugging, benchmarking, deployment, production incidents, and the less glamorous failure modes that only appear in real environments.

I’m looking for a strong engineering team tackling genuinely hard technical problems. Open to Lead/Senior Software, Systems, Embedded, Platform, Backend, Real-Time AI, or similarly hands-on engineering roles.

If you're building something where milliseconds, reliability, hardware, networks, or production correctness actually matter, I'd be very happy to talk.

Location: Istanbul, Türkiye Remote: Yes Willing to relocate: Yes

Technologies: C/C++, Rust, Python, Linux, RTOS, TCP/IP, eBPF/XDP, WebRTC, UWB/BLE, embedded/IoT & mesh-connected devices, PostgreSQL, Docker, AI/LLM systems

Résumé / Portfolio: https://msakg.com GitHub: https://github.com/imsakg LinkedIn: https://linkedin.com/in/msakg Email: [email protected]

Lead AI Agent Software Engineer focused on real-time, performance-critical systems across AI, networking, embedded devices, and production infrastructure.

My background sits at the intersection of software and the physical world:

• Currently leading architecture and production hardening of a real-time multimodal AI agent platform — streaming STT → LLM/tools → TTS, WebRTC, asyncio, long-lived state/memory, retrieval, observability, failure handling, cancellation, backpressure, and latency-sensitive execution.

• Previously built real-time networking software for aerial systems using Rust, Linux, eBPF/XDP and IEEE 802.1 TSN concepts, including reliability mechanisms where deterministic behavior and low fast-path overhead matter.

• Earlier developed C/C++ bare-metal and RTOS firmware for access-control/security and embedded/IoT devices — TCP/IP, UART/I2C/SPI, RS232/RS485, Modbus, secure device communication, UWB/BLE localization, sensors, relays and constrained hardware.

I’m most interested in difficult engineering problems where timing, reliability, networking, hardware constraints, and user-facing behavior meet: mission/performance-critical software, real-time systems, embedded/IoT, access control, UWB, distributed device systems, AI infrastructure, backend/platform engineering, and systems software.

I enjoy owning systems end-to-end — architecture, implementation, debugging, benchmarking, deployment, production incidents, and the less glamorous failure modes that only appear in real environments.

I’m looking for a strong engineering team tackling genuinely hard technical problems. Open to Lead/Senior Software, Systems, Embedded, Platform, Backend, Real-Time AI, or similarly hands-on engineering roles.

If you're building something where milliseconds, reliability, hardware, networks, or production correctness actually matter, I'd be very happy to talk.

Location: Istanbul, Türkiye Remote: Yes Willing to relocate: Depends on the opportunity

Technologies: Rust, C/C++, Python, TypeScript, Dart, Linux, eBPF/XDP, kernel networking, embedded systems, RTOS, WebRTC, STT/LLM/TTS, RAG, asyncio, PostgreSQL, Qdrant, Docker, AWS, GCP, Azure, Flutter, Svelte, security, access control, observability

Résumé/CV: https://www.msakg.com GitHub: https://github.com/imsakg LinkedIn: https://www.linkedin.com/in/msakg Email: [email protected]

Senior/Lead Software Engineer with 7+ years of experience across real-time AI systems, backend/platform engineering, Linux, kernel networking, embedded/RTOS, infrastructure, WebRTC, and security products.

Open to Senior/Staff/Lead roles in: real-time AI, AI infrastructure, backend/platform, systems software, embedded systems, developer tools, networking, security, and infrastructure.

Hey, what a cool entrance. Best job-post ever I saw.

Reach me!

https://linkedin.com/in/msakg https://github.com/imsakg