Job DescriptionTitle: Ai/ML Engineer
nLocation: Hyderabad / Bangalore
nAbout the role
nYou'll build the AI and machine learning systems that power Matilda Cloud's intelligent cloud cost optimization, policy management, and recommendation engine. This means shipping production agentic workflows, RAG pipelines, fine-tuned models, and ML services — all running across AWS, Azure, GCP, and OCI at enterprise scale.
nWhat you'll work on
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- Migrate cloud pricing and policy APIs to agentic AI architectures using LangGraph and MCPn
- Build RAG pipelines for AI-generated cost allocation and capacity reportsn
- Design and execute the distillation pipeline: teacher data capture (Claude/Bedrock) → SFT/DPO training → Qwen student modeln
- Build the cloud cost forecasting engine and anomaly detection service (Prometheus + time-series ML)n
- Instrument LLMOps observability: tracing, cost monitoring, groundedness evals (LangSmith)n
- Expose Matilda's cloud discovery data as MCP tool surfaces for agentic consumptionn

nMust have
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- 4+ years of software engineering with Python as primary languagen
- Hands-on with LLM APIs — AWS Bedrock, OpenAI, or Anthropic — including function calling and structured outputsn
- Built at least one production RAG pipeline (chunking, vector DB, hybrid retrieval)n
- LangChain or LangGraph experience — agent loops, tool use, state managementn
- Solid cloud experience on at least two of: AWS, Azure, GCP, OCI — specifically AI/ML services (Bedrock, SageMaker, Azure ML, Vertex AI)n
- Kubernetes for deploying and scaling ML servicesn
- Experience with ML data pipelines — feature engineering, ETL for training datan
- Time-series analysis or anomaly detection in a production settingn

nNice to have
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- MCP (Model Context Protocol) — building or consuming MCP serversn
- LLM fine-tuning: SFT dataset construction, DPO, or LoRA/QLoRAn
- Model distillation — teacher/student patternsn
- LangSmith or equivalent LLMOps observab

📌 Genetic AI Engineer (Hyderabad)
🏢 Matilda Cloud
📍 Hyderabad