Retrieval Systems jobs

5 open roles for retrieval systems, updated continuously as employers post them.

Member of Technical Staff (Software Engineer, Infrastructure)

Perplexity · San Francisco, United States · London, United Kingdom · Austin, United States · Berlin, Germany · Seattle, United States · New York City, United States

Infrastructure software engineering role for an experienced engineer who can solve distributed systems problems across Perplexity’s platform. The position offers U.S. remote work and multiple office locations, with compensation of $220,000 to $405,000 plus equity for U.S.-based employees.

RemotePrincipalFull-time $220,000 – $405,000 a year
PythonGoRustC++ +11
5 days ago

Sr AI Engineer

Target · Bangalore, India

Senior AI Engineer role at Target's Bengaluru office focused on production AI applications, model integration, APIs, MLOps, and reliable serving systems. The position suits a software engineer with five or more years of experience building or supporting production ML systems.

On-siteSeniorFull-time
PythonMLOpsMachine LearningArtificial Intelligence +11
6 days ago

AI Engineer

Quarks Technosoft · Bengaluru, India

Onsite AI Engineer role in Bengaluru for an experienced software engineer building LLM, retrieval, agentic, and developer-operations tools. The role requires five to seven years of overall experience and hands-on delivery of production AI applications.

On-siteMid levelFull-time
PythonJavaTypeScriptLLM Applications +9
10 days ago

Applied AI Engineer

Perplexity AI · Bengaluru, India

Perplexity AI is hiring a mid-level Applied AI Engineer for its India team to build retrieval, model-orchestration and evaluation systems remotely from a Bengaluru anchor. The role requires production engineering, retrieval or RAG experience and LLM evaluation skills.

RemoteMid level
Applied AIProduction EngineeringInformation RetrievalRAG +3
Date not stated

Senior Software Engineer — Infra Agent Systems Remote India

Together AI · India

A remote senior engineering role in India building AI agents and platform services for large-scale GPU operations. It suits backend and infrastructure engineers with distributed-systems and production-ownership experience.

RemoteSeniorFull-time
AI agentsdistributed systemsKubernetesGitOps +13
Date not stated

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