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.
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
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
Empowering businesses of all sizes with access to bright talent for project solutions, staffing, and freelance expertise.
Funding
Current Stage
Growth StageCompany data provided by crunchbase