[Remote] LLM Engineer (RAG & Agentic AI)

Note: The job is a remote job and is open to candidates in USA. 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.

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

Skills
• 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 Overview
• Empowering businesses of all sizes with access to bright talent for project solutions, staffing, and freelance expertise. It was founded in 2001, and is headquartered in Houston, TX, US, with a workforce of 201-500 employees. Its website is https://www.applicantz.com.

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