Key skills
PythonLLMs OpenAIAgentic AI LangChainCloud AWSSQLVector DatabasesRAG & SearchData SnowflakeMLOps practicesCI/CD for AI pipelinesEvaluation & ObservabilityAIMLLLMOpenAILangChainMLOpsMLflowLangGraphSnowflakedbtAWSLambdaS3SageMakerBedrockCI/CD
About this role
Applicantz is a global leader in 3D design, engineering, and entertainment software, known for fostering a progressive culture and creativity. They are seeking an AI/ML Engineer to build enterprise-grade chatbots and intelligent assistants, focusing on finance data and deploying AI systems at scale.
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