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backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:

1 open remote position · via official board

About working at Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:

Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub: is hiring for 1 live remote role right now, listed on RemoShift and refreshed from HNWhoIsHiring. The openings span remote work, with roles open to candidates in worldwide.

Every listing on this page links to the original posting — we don't host applications, so apply directly on Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:'s own careers page. Roles expire when the employer removes them or age out of the index, so check back often.

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How do I apply for a remote job at Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:?

Each listing on this page links to the original posting on Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:'s site. Click "Apply on original site" on the job card to go directly to the application — we don't host or process applications, so the employer sees your application in full.

Where are Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:'s remote roles open?

The live openings are open to candidates in worldwide, though specific roles may carry their own location or timezone requirements stated on the original posting.

How current is this Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub: jobs list?

RemoShift refreshes HNWhoIsHiring every 30 minutes, so this list reflects what Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub: is hiring for right now. Posts stay live until the employer removes them or they age out of the index.

More roles like Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [[email protected]](mailto:[email protected]) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:, weekly.

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