1

Mobile Vector Pipeline Jobs (NOW HIRING)

Founding Engineer

San Francisco, CA · On-site

$150K - $250K/yr

AI agent pipelines that plan, retrieve, and reason over diverse data sources * Map display ... Pushing Elasticsearch and vector search to sub-100ms latency across large datasets Engineering ...

Lead Gen AI/Agentic AI Engineer

$104K - $138K/yr

... CD pipeline, create/configure build and deploy jobs • Experience working in XP and pair ... vector databases such as Pinecone, Weaviate, OpenSearch, or RDS Vector Store for RAG ...

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... mobile hardware environments. * Expertise in model compression and optimization (quantization, pruning, distillation). * Experience building RAG pipelines and integrating vector databases (e.g ...

Senior Software Engineer, Swift - macOS

Sunnyvale, CA · On-site

$156K - $196K/yr

The architecture is a multi-stage pipeline with layered Swift Package Manager targets, strict ... Familiarity with graph/vector retrieval or entity resolution is a plus. Experience building ...

Python/GenAI Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

Develop and maintain data pipelines and ETL workflows to support GenAI model training and ... Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG)

next page

Showing results 1-20

Mobile Vector Pipeline information

What cities are hiring for Mobile Vector Pipeline jobs? Cities with the most Mobile Vector Pipeline job openings:
What are the most commonly searched types of Vector Pipeline jobs? The most popular types of Vector Pipeline jobs are:
What states have the most Mobile Vector Pipeline jobs? States with the most job openings for Mobile Vector Pipeline jobs include:
Infographic showing various Mobile Vector Pipeline job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 17% Part Time, 11% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Founding Engineer

Clera

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Re-posted 17 days ago


Job description

About the Role
Join a well-funded (Series A/B), stealth-stage consumer tech startup building an AI-powered map and social discovery platform. The product helps people figure out where to go and what to do - combining one of the largest structured indices of real-world places and events with a clever, social product experience.
As a Founding Engineer, you'll own problems end-to-end, work directly with founders, and make architectural decisions that shape the core system. This is a high-ownership, high-impact role for someone who thrives in ambiguity and moves fast.
What You'll Work On
  • Search and ranking at massive scale (200M+ places, millions of events)
  • Recommendations and personalization of places and events using embeddings, structured data, and social signals
  • Real-time infrastructure - chat, presence, and location systems that feel instantaneous
  • AI agent pipelines that plan, retrieve, and reason over diverse data sources
  • Map display algorithms that determine what deserves attention
  • Data pipelines that structure large volumes of unstructured web data for novel product experiences
  • Pushing Elasticsearch and vector search to sub-100ms latency across large datasets
Engineering Tracks
You don't need to fit neatly into one area - most people here won't.
Application Engineer (Full-Stack)
  • Build fast, expressive interfaces across mobile and web
  • Own features end-to-end from UI to backend
  • Tools: TypeScript, React, React Native, iOS/Android

Data / AI Engineer
  • Build the intelligence layer - search, ranking, pipelines, and agent systems
  • Design systems that operate over large-scale, messy real-world data
  • Tools: Python, TypeScript, Elasticsearch, Snowflake, LLMs, embeddings, retrieval and recommendation systems
What We're Looking For
  • 0-5 years of professional software engineering experience
  • Proven experience building real-time or low-latency production systems
  • Proficiency in search, ranking algorithms, and related infrastructure
  • Experience with data processing pipelines, ML/AI workflows, or data engineering
  • Track record of infrastructure and performance optimization at scale
  • Prior experience at early-stage startups; comfortable operating with high ambiguity
  • Ability to own features end-to-end with cross-functional collaboration (product, design, engineering)
  • Strong problem-solving and fast decision-making in fast-paced environments
  • You care about how something feels, not just whether it works
Compensation & Benefits
  • Salary: $150,000 - $250,000 USD annually
  • Equity as a founding team member
Location
  • San Francisco, CA - on-site required
  • Candidates must be located in or willing to relocate to San Francisco
  • No visa sponsorship available - must be eligible to work in the United States without sponsorship