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LLMOps Engineer

ARA Resources Private Limited

5 - 10 years

1 - 5 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

python ci/cd cloud platforms containerization devops continuous integration nginx production microsoft azure owasp security artificial intelligence docker red threat modeling apache iam gcp application security mysql api aws protocols

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Role:

We are looking for a forward-thinking LLMOps Engineer to join our team and help build the next generation of secure, scalable, and responsible Generative AI (GenAI) platforms. This role will focus on establishing governance, security, and operational best practices while enabling development teams to build high-performing GenAI applications. You will also work closely with GenAI agents and integrate LLMs from multiple providers to support diverse use cases.

Key Responsibilities:

Design and implement governance frameworks for GenAI platforms, ensuring compliance with internal policies and external regulations (e.g., GDPR, AI Act).
Define and enforce responsible AI practices including fairness, transparency, explainability, and auditability.
Implement robust security protocols including IAM, data encryption, secure API access, and model sandboxing.
Collaborate with security teams to conduct risk assessments and ensure secure deployment of LLMs.
Build and maintain scalable LLMOps pipelines for model training, fine-tuning, evaluation, deployment, and monitoring.
Automate model lifecycle management with CI/CD, versioning, rollback, and observability.
Develop and manage GenAI agents capable of reasoning, planning, and tool use.
Integrate and orchestrate LLMs from multiple providers (e.g., OpenAI, Anthropic, Cohere, Google, Azure OpenAI) to support hybrid and fallback strategies.
Optimize prompt engineering, context management, and agent memory for production use.
Ensure high availability, low latency, and cost-efficiency of GenAI workloads across cloud and hybrid environments.
Implement monitoring and alerting for model drift, hallucinations, and performance degradation.
Partner with GenAI developers to embed best practices and reusable components (SDKs, templates, APIs).
Provide technical guidance and documentation to accelerate development and ensure platform consistency.

Skills Required:

Deep understanding of LLMs, GenAI agents, prompt engineering, and inference optimization.
Experience with LangChain, LlamaIndex, Langraph or similar agent frameworks.
Hands-on with MLflow, or equivalent tools.
Proficient in Python, containerization (Docker) and cloud platforms (AWS/GCP/Azure).
Experience with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and model evaluation frameworks.
Knowledge of Responsible AI, red-teaming, and OWASP security priciples.
RAG Architecture: Experience designing and implementing Retrieval-Augmented Generation pipelines using vector databases (e.g., FAISS, Pinecone).
Agentic Frameworks: Hands-on with LangChain, LlamaIndex, LangGraph, or similar frameworks for building autonomous GenAI agents.
LLM Ops : Building scalable, automated pipelines for deployment, and monitoring.
Security & Responsible AI: Knowledge of IAM, encryption, secure APIs, and AI governance principles (e.g., fairness, transparency).

Qualifications and Experience:

Bachelors or Masters degree in Computer Science, Engineering, or related field.
4+ years of experience in MLOps, DevOps, or platform engineering, with 12 years in LLM/GenAI environments.

Skills

LLM,RAG,Generative AI,Python,Agentic

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LLMOps Engineer