Job-search agent
Autonomous pipeline that finds postings, scores fit, tailors a résumé per role with Claude tool use, and fills application forms via browser automation.
- TypeScript
- pnpm/turbo
- Nest.js
- Next.js
- Postgres
- Docker
index view · watch the film instead →
Open to remote & contract · start immediately
Nare Sakhoyan
AI Engineer · Full-Stack — ships LLM systems into production
Anyone can call a model. I build the harness around it — the part that decides whether it can be trusted.
agent harnesses · evals · RAG · tool use — on a full-stack TypeScript foundation · Yerevan, Armenia
Selected work
Projects
Ask Nare
The chat widget on this site: RAG + tool use + guardrails. Live now — the eval scorecard is in progress.
Eval scorecard: in progress
- Next.js
- @anthropic-ai/sdk
- BM25 / embeddings
- Vitest
llm-evalkitin progress
TypeScript eval harness comparing Haiku / Sonnet / Opus on résumé tailoring: schema, hallucination, keyword-coverage and LLM-judge graders with a cost/latency report. In progress — repo and report not yet published.
In progress
- TypeScript
- Anthropic SDK
- Zod
- Vitest
Armenian NLP toolkit
NLP for a low-resource language, with a README that states results and limitations honestly.
- Python
- Armenian
- Low-resource NLP
Foody
Recipe + pantry app: pantry-based recommendations, favourites, drafts, search history.
- Nest.js
- Drizzle ORM
- Postgres
- Clerk
Timeline
Experience
–
Senior Full-Stack Engineer · Prostrive
Netherlands · remote
- Core engineer on PromptTracker (now Answer One), an Answer Engine Optimization platform — Next.js + Nest.js/Node.
- Connected multiple LLM providers to automate prompt generation, scraping, and validation of how brands appear in AI answers. Role ended when funding ended.
–
Software Engineer — AI training data · Turing
US · remote
- Authored and graded reference solutions (HTML/CSS/JS/TS/Node/React/SQL) used to train reward models that improve LLM coding accuracy.
- Learned how models are evaluated from the data side — rubric design, grading consistency, and failure taxonomies.
–
Full-Stack Engineer · Hearst Autos
US · remote
- Worked on the platform powering Car and Driver, Autoweek, and the shared system behind all Hearst sites.
- Built Next.js front-ends and Node.js / Python microservices at publisher scale.
–
Full-Stack Engineer · Matemat
Yerevan, Armenia
- Full-stack development with Node, Vue, MongoDB, GraphQL, and Elasticsearch.
- Shipped search and data features end to end for a small product team.
Computer Science coursework · Université Toulouse III · 2019–2023
Writing
Notes
- Evaluating an agent that applies for jobs on my behalf
How I decided whether to trust an autonomous pipeline with my own applications — graders, traps, and what "good enough" meant.
- Building Armenian NLP when the data isn't there
Notes from building an NLP toolkit for a low-resource language, what worked, what didn't, and how to report results honestly.
Now
What I’m looking for
Available now for remote roles worldwide and for contract or EOR arrangements. Based in Yerevan, Armenia (UTC+4), comfortable overlapping with European and US-East hours.
I’m looking for roles like Applied AI Engineer, Forward Deployed Engineer, AI Infrastructure / Agent Platform Engineer, or AI Systems Engineer — shipping LLM systems into production: harnesses, evals, RAG, tool use. Ideal: a real product, TypeScript end to end, and AI features that need proof, not just demos.