Senior AI/MLOps Engineer

Simpplr

full-time

Posted on: 9/27/2025

Location Type: Office

Location: Gurugram • 🇮🇳 India

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Senior

CloudDockerElasticSearchGrafanaKubernetesPrometheusTerraform

About the role

Own deployment and operations of agentic AI systems at enterprise scale; accelerate shift to AI‑native infrastructure.
Architect, design, implement, and maintain multi‑agent orchestration frameworks (e.g., FastAgent, FastMCP, LangGraph, AutoGen, CrewAI).
Develop and operationalize RAG workflows, vector stores, and knowledge‑graph connectors.
Implement end‑to‑end observability using Prometheus/Grafana, OpenTelemetry, and create incident playbooks.
Enforce data governance, PII handling, and prompt‑audit trails across agent interactions to ensure security and compliance.
Partner with data engineers, MLOps, and DevOps to align CI/CD for AI workloads and mentor teams.
Benchmark agent performance, optimize token usage, and research emerging agentic AI frameworks for continuous improvement.

5+ years in production ML/LLM operations, with 2+ years in autonomous agent systems.
Hands‑on experience with FastAgent, FastMCP, LangGraph, AutoGen, CrewAI, or similar.
Expertise in Kubernetes, Docker, Terraform (or Pulumi), and GitOps workflows.
Proven track record implementing RAG pipelines with Pinecone, Elasticsearch, or similar.
Proficient in observability tools (Prometheus, Grafana, Jaeger/OpenTelemetry).
Open‑source contributions or conference talks on agentic AI or LLMOps (preferred).
Experience optimizing inference with vLLM, TensorRT‑LLM, or similar libraries (preferred).
Certifications in cloud architecture or AI security (preferred).
Familiarity with multi‑modal agent workflows or edge‑deployed agents and AI‑first governance (preferred).

Benefits

Simpplr’s Hub-Hybrid-Remote model (role-based flexible work model)
Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time.
Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis.
Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.

Tip: use these terms in your resume and cover letter to boost ATS matches.

ML operationsLLM operationsautonomous agent systemsRAG workflowsvector storesknowledge-graph connectorsKubernetesDockerTerraformGitOps workflows

mentoringcollaboration

cloud architectureAI security