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LLM Engineer (RAG & Agentic AI) jobs in United States
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Applicantz · 1 day ago

LLM Engineer (RAG & Agentic AI)

Applicantz is a company seeking an AI/ML Engineer to build enterprise-grade chatbots and intelligent assistants using state-of-the-art LLM technologies. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale, requiring collaboration with Product, Data, and Platform teams to deliver reliable AI solutions.
Computer Software
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Growth Opportunities
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Hiring Manager
Abhishek Stephen
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Responsibilities

Build LLM-powered chatbots using OpenAI, RAG, tool calling, and agent frameworks (LangChain, LangGraph)
Design Agent-to-Agent (A2A) architectures for multi-step reasoning and autonomous workflows
Design retrieval pipelines using vector databases
Implement hallucination reduction techniques: grounding, re-ranking, citations, confidence scoring
Work with finance and enterprise datasets ensuring accuracy and governance
Deploy and monitor AI systems using cloud-native and MLOps practices
Implement CI/CD for AI pipelines and inference services

Qualification

PythonLLMs OpenAILLMs AnthropicLLMs GeminiLLMs LlamaAgentic AI LangGraphAgentic AI LangChainRAG & SearchVector DatabasesCloud AWSSQLData SnowflakeData DBTEvaluation & Observability

Required

Python
SQL
LLMs: OpenAI (GPT-4/4.1), Anthropic, Gemini, Llama
Agentic AI: LangGraph, LangChain, Agent-to-Agent (A2A) patterns
RAG & Search: embeddings, hybrid search, cross-encoders
Vector Databases
Evaluation & Observability: LangSmith, MLflow, Weights & Biases
Cloud: AWS (S3, Lambda, SageMaker, Bedrock)
Data: Snowflake, DBT, structured & unstructured data pipelines
Evaluation: prompt/version management, offline & online LLM evaluation

Company

Applicantz

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Empowering businesses of all sizes with access to bright talent for project solutions, staffing, and freelance expertise.

Funding

Current Stage
Growth Stage
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