LLMOps Engineer GenAI Platforms

Tekskills Inc.; Chennai; Presencial; INR 1.800.000 - 2.800.000; Jornada completa

Descripción de la vacante

Tekskills Inc. is seeking an LLMOps Engineer GenAI Platforms to drive secure, scalable GenAI capabilities. You will build governance, security, and operational best practices while enabling teams to deploy GenAI applications.

You will work with GenAI agents, integrate LLMs from providers like OpenAI, Anthropic, Cohere, Google, and Azure OpenAI, and ensure compliant, high-performance workloads across cloud and hybrid environments.

Formación

• 4+ years of experience in MLOps/DevOps or platform engineering.
• 1-2 years in LLM/GenAI environments.
• Experience with governance, security and compliance.
• Proficient in Python and containerization.

Responsabilidades

• Design governance frameworks for GenAI platforms with policy compliance.
• Enforce responsible AI practices including fairness and auditability.
• Implement security protocols: IAM, data encryption, secure API access, sandboxing.
• Collaborate with security to assess risks and secure deployments of LLMs.
• Build and maintain scalable LLMOps pipelines for training, fine-tuning, evaluation, deployment, and monitoring.
• Automate model lifecycle management with CI/CD, versioning, rollback, observability.
• Develop GenAI agents capable of reasoning, planning, and tool use.
• Integrate LLMs from multiple providers for hybrid/fallback strategies.
• Optimize prompt engineering, context management, and agent memory for production.
• Ensure high availability, low latency, and cost-efficiency across cloud/hybrid environments.
• Monitor model drift, hallucinations, and performance degradation.

Conocimientos

MLOps

LLMs

LLMOps

Python

Docker

Cloud platforms

Prompt engineering

LangChain

LlamaIndex

Langraph

MLflow

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

LangChain

LlamaIndex

Langraph

MLflow

Descripción del empleo

Job Title: LLMOps Engineer GenAI Platforms

Location: Bangalore

Minimum: 3 years of relevant experience

Maximum: 5 years total experience

Must include:

• Strong MLOps experience
• Hands-on with LLMs for at least 2 years OR
• Transitioned from MLOps to LLMOps with understanding of LLM lifecycle

About 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.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 4+ years of experience in MLOps, DevOps, or platform engineering, with 1-2 years in LLM/GenAI environments.
• 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).
• Familiarity with AI governance frameworks and responsible AI principles.
• Experience with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and model evaluation frameworks.
• Knowledge of Responsible AI, red-teaming, and OWASP security priciples.