This one is closed
Live roles like this one
-
D
3h ago
Staff Machine Learning / Operations Research Engineer
Burq United States
-
C
6h ago
Senior Machine Learning Engineer, Ranking - Quora
Quora Canada, Ireland, USA
- C 6h ago
-
C
21h ago
Staff Machine Learning Engineer
Uber Chicago, IL; New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA
See every "AI Tools Automation" role →
Get new “AI Tools Automation” roles by email
One email a day with what is new in "AI Tools Automation". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 34/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$163k – $276k
That is the middle half of what comparable roles paid on this board over the last 90 days — 31 listings that did publish a figure, median $179k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Job Role: AI Developer Intern (LLM + MCP + AI Trends)
Role Overview:
We are hiring an AI Developer Intern who can both:
Build AI systems (LLMs, MCP servers, APIs)
Continuously track and evaluate new AI tools & releases
This is a builder + researcher hybrid role, but execution > research.
Key Responsibilities:
-
AI Development (Primary Focus)
Build applications using: OpenAI, Anthropic, Google DeepMind
Implement: Tool/function calling, Context handling, Prompt pipelines
-
MCP Server & AI Systems
Build and maintain MCP (Model Context Protocol) servers
Create tools that LLMs can use: APIs, Internal systems
Design: Multi-step workflows, Structured outputs
-
AI Tools & Trends Tracking (Important)
Stay updated with: New AI tools launches, Model updates, Dev frameworks
Sources to track: Twitter (AI builders), Product Hunt, GitHub trending
Filter: What is useful vs hype
-
Rapid Prototyping
Build quick POCs using new tools
Example: Try new model → integrate → test → report
Convert useful tools into: Internal features, Product improvements
-
Weekly Intelligence Reports
Share: 5–10 new tools, 2 tools worth implementing, 1 working demo/POC
Requirements
Required Skills:
Must-Have: Python or JavaScript (strong basics), API understanding, Basic LLM knowledge: Tokens, Context Prompting, Critical (Filter Here), Can build, not just explore, Understands: MCP / tool calling, How LLM apps actually work, Cursor, Antigravity
Good to Have: RAG / vector DB, FastAPI / Node backend, GitHub projects
Ideal Candidate:
Builds side projects
Actively explores new AI tools
Thinks: “How can I use this in real product?”
Not a YouTube learner, a doer
Highlights
Build LLM apps & MCP servers, test latest AI tools, ship real features, work closely with founders, fast growth, real product impact
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 21 Jul 2026 Himalayas first sighting
Seen on 1 board over 32 days. The employer edited the description 1× since we first recorded it.