Key skills
PythonLLMs OpenAILLMs AnthropicLLMs GeminiLLMs LlamaAgentic AI LangGraphAgentic AI LangChainRAG & SearchVector DatabasesCloud AWSSQLData SnowflakeData DBTEvaluation & ObservabilityAIMLLLMOpenAILangChainMLOpsMLflowLangGraphSnowflakedbtAWSLambdaS3SageMakerBedrockCI/CDCollaboration
About this role
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
Requirements:
- 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