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AI/RAG Engineer - "Full-stack GenAI application engineer

LINCOLN SOFT TECH LLC
Dallas, TX, United States
19 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Application Layers Automated Storage and Retrieval Systems MongoDB Redis Search Technologies ReactJS Large Language Models Backend Fastapi AngularJS Front End Software Development Api Gateway
+1 more
Data Pipelines

Requirements

  • Hands-on with the full RAG pipeline: chunking strategy, embedding model selection, retrieval tuning, reranking, summarization - able to speak to trade-offs at each stage
  • Application layer strength: FastAPI, JWT/auth, API Gateway patterns, plus MongoDB/Redis and ideally some Angular/React exposure
  • Semantic search and data pipeline experience is called out specifically here - so someone who’s built search/retrieval systems (even pre-LLM) transfers well
  • This is the most “well-rounded builder” of the three - backend + data pipeline + some frontend awareness
  • Good fit: a product-minded backend engineer who’s spent the last 1-2 years specifically in applied GenAI/RAG, ideally in a team shipping to real users rather than research/prototyping.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:50 min

Simplifying generative AI deployments using the RagStack opinionated framework

David Leconte David Leconte +1 · World Congress 2024

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

1:21 min

Realizing the limitations of MongoDB for live statistics

Josip Stuhli Josip Stuhli · World Congress 2023

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

3:28 min

Deploying RAG-based support for developer documentation

Andrew Burnett-Thompson +1 · Coffee With Developers

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

Videos

See all
Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS thumbnail
53:45
JS Congress • almost 5 years ago

Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS

Anna Mcdougall

40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs thumbnail
47:16
World Congress 2021 • over 5 years ago

40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs

Maxime Beugnet

Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis) thumbnail
34:39
about 1 year ago

Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)

RAG's Not Dead, You're Just Using It Wrong! - Phil Nash thumbnail
28:20
Coffee With Developers • 4 months ago

RAG's Not Dead, You're Just Using It Wrong! - Phil Nash

Phil Nash

Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps thumbnail
28:57
World Congress 2024 • about 2 years ago

Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps

David Leconte, Michel de Ru

NoSQL Data Modeling for Front-end Developers thumbnail
44:51
JS Congress • almost 5 years ago

NoSQL Data Modeling for Front-end Developers

Stanimira Vlaeva

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