AIML Engineer

Position : AI / ML Engineer

Location : Scottsdale AZ

• From Day 1 Onsite

We are seeking an experienced AIML Engineer to design build and operate Al / ML infrastructure and agentic systems. This role involves developing MCP servers and agents integrating LLMs and implementing RAG pipelines for production environments.

Key Responsibilities

MCP agents that host orchestrate and monitor Al / agent workloads.

Own deployment scaling reliability and cost-efficiency on Kubernetes / Docker and Google Cloud with automated CI / CD

Design and implement RAG

(Retrieval-Augmented Generation) pipelines and integrations with vector stores and retrieval tooling; use LangChain and Langfuse for orchestration chaining and observability.

Core Responsibilities

Implement and maintain MCP server and agent code APls and SKs for model access and agent orchestration.

Design agent behavior workflows and

safety guards for agentic Al systems.

Create test and iterate prompt templates

evaluation harnesses and

grounding / chain-of-thought strategies.

Integrate LLMs and model providers

(self-hosted and cloud APls) with unified adapters and telemetry.

simulators and debugging tools for agents and prompts.

orchestration (Kubernetes / GKE) and optimize nodes autoscaling and resource requests.

Create runbooks playbooks and incident response procedures; reduce MTTR and perform postmortems.

document chunking embeddings vector indexing retrieval strategies re-ranking and context injection.

composable chains agents and tooling; use Langfuse (or equivalent tracing) to capture prompts model calls RAG traces and evaluation telemetry.

Required Skills & Experience

engineering and agent frameworks.

2 years of Experience Practical experience implementing RAG : embeddings vector DBs and retrieval tuning.

2 years of Experience with LangChain patterns and with toolchain telemetry (Langfuse or similar) for prompt / model traceability.

Docker CI / CD and infrastructure-as-code experience.

2 years of Experience with Practical experience with Google Cloud Platform services

2 years of Experience with evaluating and mitigating retrieval / augmentation failures hallucinations and leakage risks in RAG systems.

vector stores and embedding providers.

GitHub Actions GitLab Cl or ArgoCD).

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1