Ask HN: Who wants to be hired? (September 2026)

Remote: Yes

Willing to relocate: No

CV: Ask

Email: d.dev.nyc+hnjobs@gmail.com

I help organizations evolve into AI-native businesses by redesigning processes, decision-making, and operating models around LLMs, agentic systems, and intelligent automation. I enjoy partnering with leadership to identify high-leverage opportunities, define AI strategy, and translate ambitious transformation goals into processes that drive organization-wide adoption.

My focus is applying frontier AI capabilities—LLMs, agents, and intelligent automation—to transform how companies operate: redesigning business processes, augmenting teams, automating knowledge work, and building agentic workflows that create measurable business impact.

I specialize in bridging the gap between business strategy and technical execution. I work with executives, operators, and technical teams to identify high-value AI opportunities, translate ambiguous problems into scalable solutions, rapidly prototype systems, and drive adoption across teams.

My expertise includes enterprise agentic workflows, AI-native operating models, AI orchestration, workflow automation, autonomous business processes, and production AI deployment.

I'm particularly interested in helping companies rethink how work gets done — building AI-first workflows and augmenting decision-making where humans and AI collaborate effectively. I enjoy working across strategy and implementation, taking ideas from discovery through deployment, adoption, and continuous improvement.

Looking for Forward Deployed Engineering opportunities where technical excellence, customer partnership, and AI-driven organizational transformation are equally important. If that's the transformation your company needs, reach out via email.

Remote: Yes

Willing to relocate: Yes

Technologies: C/C++, Obj-C/C++, iOS/macOS, Linux, Windows/NT (kernel/user), virtualization, TLS, TPM (TCG), Operating Systems, Security, Rust

Resume/CV: https://guzman.io/resume.pdf

Email: hnj@alex.guzman.io

Software developer with a decade of experience focused on systems programming across multiple domains including userspace daemons, kernel extensions/drivers, and coprocessor firmware.

Remote: Yes

Willing to relocate: No

Technologies: Python (Flask, Django) / Typescript (React, Vue, Angular.js) / Ruby / Node.js / GCP / SQL

Résumé/CV: https://drive.google.com/file/d/1ECJiaqv-m-se_S0kwS1-zP3pds7...

Email: bennerguy@gmail.com

I'm more than happy to learn a new language or two. I've worked with AI since 2018 at a variety of startups, but I'm equally comfortable with non-AI work.

My latest hobby project is building a benchmark for LLMs on playing board games; it tests strategic planning and whether it can comprehend and apply large sections of text.

Remote: Yes (remote or hybrid)

Willing to relocate: Yes (SF Bay Area, Seattle, NYC, Austin, other US Hubs)

Technologies: Python, DevSecOps, security engineering, security automation, threat modeling, SAST/DAST/SCA, AWS, Docker, Next.js, Node.js, OWASP LLM Top 10, AI/LLM security, CI/CD security, PostgreSQL, Hugging Face, LangChain, LLM APIs (OpenAI/Anthropic), FastAPI.

Résumé/CV: https://www.harshjannawar.com/resume | https://github.com/Harshj143

Email: hjannawar014@gmail.com

Most AI agents ship with tool access and nobody watching what they do with it. I build the enforcement layer that catches it before it becomes a breach.

Inline Proxy: open-source MCP security gateway enforcing per-tool policy (allow, block, redact, and more) on every agent tool call. Taint tracking stops a poisoned GitHub issue from publishing a repo's .env as a public gist. 194 tools covered, ~0.1ms p99, fail-closed by default.

AegisLLM: published as my master's thesis (UW 2026, ProQuest 32738510). Automated LLM red-teaming mapped to the OWASP LLM Top 10, with a genetic-algorithm engine that evolves new attack variants.

MS in Cybersecurity Engineering from UW. Top 1% on TryHackMe, with multiple CTF wins. Looking for security engineering or AI security roles at companies putting agents in production.