AI Engineer

Hiring: AI / MLOps Engineer (LLMs, RAG, Agentic AI) Location:

Noida/Gurugram, Hyderabad |

Type:

Full-time Experience : 1-4 years Build AI systems that actually ship to production. At

Simplify VMS , we’re not experimenting in notebooks—we’re

deploying real, production-grade AI systems

that power modern hiring and workforce solutions at scale. If you love taking

LLMs from prototype → production , enjoy working with

agentic AI, RAG pipelines, and scalable infrastructure , and want

real ownership , this role is for you.

Why this role is exciting Work on

production LLM & agentic AI systems Build

chatbots, copilots, and autonomous agents

used in real hiring and VMS workflows Own the

end-to-end MLOps lifecycle

— deploy, monitor, optimize, repeat Collaborate closely with

senior AI leadership Remote-first, high-impact, zero bureaucracy

What you’ll work on Designing and deploying

LLM & RAG systems

at production scale Productionizing LLM workflows using

hosted APIs or open-source models Building inference pipelines using

vLLM, TGI, or similar frameworks Creating

agentic workflows

using

LangChain / LangGraph Setting up

CI/CD pipelines

for models, prompts, and retrieval configurations Deploying services with

Docker & Kubernetes Designing

LLM evaluation frameworks

(quality, hallucination detection, regression) Implementing

monitoring & observability

(latency, cost, token usage, retrieval quality) Building backend APIs using

Python + FastAPI

✅ What we’re looking for 1-4 years

in Software Engineering / ML Engineering / MLOps Candidates from Tier1/Tier2 Engg grads Strong

Python

skills + experience building production APIs Hands-on experience with

LLMs (OpenAI or open-source models) Practical exposure to

LangChain / LangGraph Solid understanding of

RAG, embeddings, vector databases Experience with

Docker

(Kubernetes is highly desirable) Cloud experience ( AWS preferred ) Experience with leveraging tools like Cursor and Opus for coding

⭐ Nice to have (but not required) Model serving tools like

vLLM, Ray Serve, MLflow LLM performance optimization (quantization, throughput tuning) Experience with vector DBs such as

Pinecone, Milvus, FAISS, Weaviate, Qdrant LLM evaluation & safety frameworks Document processing pipelines (PDFs, OCR, unstructured data ingestion) Agent-based enterprise workflows

Why Simplify VMS AI-first product organization building

scalable workforce and hiring automation systems High ownership, high trust, high impact Opportunity to shape the company’s

LLM & MLOps foundation

Interested ? DM me or mail me your CVs @ shashi.prakash@thehirehq.com