ML & data for AI · Computer vision · Knowledge assistants & RAG
Graduate student with ML, computer vision and RAG experience seeking applied ML and AI engineering roles
Full-time · Remote
Based in United States
Python · PyTorch · OpenCV · C++
BD-0081
Knowledge assistants & RAG
Recent data science graduate who built LLM pipelines and RAG chatbots, seeks entry-level AI or backend role
Ref. BD-0081 · Knowledge assistants & RAG
Knowledge assistants & RAG, Chat assistants, Process automation — Based in College Park, United States. Full-time · Remote
Introductions go through DUDE.AI: names and contact details are shared once both sides agree.
Warm introduction
We forward your note to this builder within 3 working days and connect you if they agree to talk. The cost is 60 credits.
Profile
| Builds | Knowledge assistants & RAG, Chat assistants, Process automation |
|---|---|
| Stack | Python, PyTorch, LangGraph, QLoRA, Qdrant, FastAPI |
| Open to | Full-time |
| Work the agent does | Software & IT |
| Commitment | Full-time |
| Work mode | Remote |
| Based in | College Park, United States |
| Posted | Aug 2026 |
| Checked | Source opened and read |
Summary
Built an LLM pipeline that cut a metadata audit time by 96 percent, a vector-search chatbot for assistive technology recommendations, a job-application automation platform and a speculative decoding engine. Seeks entry-level AI/ML or backend roles at funded startups.
Summarised in English from the builder’s public post.
Is this your post? We correct or remove it on request. Write to us
Leads that need Knowledge assistants & RAG
Live leads of this type. Open one to see the details.
| ID | Lead and place | Kind · sector | Budget | Work mode | Deadline / posted | Status |
|---|---|---|---|---|---|---|
| AP-0376 | Principal consultant leading agentic AI transformation of middle and back-office operations, USAI advisory, AI agents & agentic workflows, Process automation · United States | Hiring to build · SaaS & B2B software | Budget not stated | — | Nov 2026 | Open |
| AP-0825 | Ten early-career AI engineer openings for an insurance underwriting platform's in-house AI team, New YorkProcess automation, ML & data for AI · New York, United States | Hiring to build · Fintech | $120.0K per year | Hybrid | Nov 2026 | Open |
| AP-0804 | Founding applied ML engineer building an LLM memory retrieval engine with privacy filteringKnowledge assistants & RAG, ML & data for AI · United States | Hiring to build · AI | Budget not stated | — | Nov 2026 | Open |
| AP-0795 | Equity-only AI engineer for RAG, multi-agent orchestration and generative media in a social appKnowledge assistants & RAG, AI agents & agentic workflows, AI features & copilots · United States | Hiring to build · Consumer & social, Media & creators | Budget not stated | — | Nov 2026 | Open |
| AP-0781 | AI engineer to turn manual operations into self-reporting LLM automation at an energy platformProcess automation, AI agents & agentic workflows · United States | Hiring to build · Climate & energy | Budget not stated | Remote | Nov 2026 | Open |
| AP-0749 | AI automation engineer with n8n expertise for a US beverage companyProcess automation · United States | Hiring to build · Food & agriculture, Consumer & social | Budget not stated | — | Nov 2026 | Open |
One list, one contact, warm introductions.
Every profile shows what the builder stated publicly. Add the ones you want, tell us about the project, and we arrange the introductions.
STEP 1
Pick builders
Filter by type and region, open the profile and add the builders you want to meet to your list.
STEP 2
Send your list
One click sends the list and your short project note to us by WhatsApp or e-mail. No account needed to send.
STEP 3
Get introduced
We contact the builders on your list with your note and connect you with those who want to talk.