Genetic AI Engineer

Matilda Cloud

Hyderabad, IND

Full-time

Mid-Senior

Onsite

Discovered 1 weeks ago

PythonLLM APIsAWS BedrockOpenAI APIsAnthropic APIsRAG pipelines

Free

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Key skills for this role

PythonLLM APIsAWS Bedrock

Build AI and machine learning systems for intelligent cloud cost optimization, policy management, and recommendation workflows.

Ship production agentic workflows, RAG pipelines, fine-tuned models, and ML services across AWS, Azure, GCP, and OCI at enterprise scale.

Migrate cloud pricing and policy APIs to agentic AI architectures using LangGraph and MCP.
Build RAG pipelines for AI-generated cost allocation and capacity reports.
Design a distillation pipeline from teacher-data capture through SFT or DPO training to a Qwen student model.
Build cloud cost forecasting and anomaly detection services using Prometheus and time-series machine learning.
Instrument LLMOps observability for tracing, cost monitoring, and groundedness evaluations with LangSmith.
Expose cloud discovery data as MCP tool surfaces for agentic consumption.

At least 4 years of software engineering experience with Python as the primary language.
Hands-on experience with LLM APIs such as AWS Bedrock, OpenAI, or Anthropic, including function calling and structured outputs.
Experience building a production RAG pipeline with chunking, vector databases, and hybrid retrieval.
LangChain or LangGraph experience covering agent loops, tool use, and state management.

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