LLMOps Engineer GenAI Platforms

Tekskills Inc.; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tekskills Inc. is seeking a forward-thinking LLMOps Engineer to build scalable GenAI platforms with governance, security, and operational best practices. You will enable development teams to deploy high-performing GenAI applications and integrate LLMs from multiple providers to support diverse use cases.

The role focuses on establishing governance, security, and operational excellence while collaborating with GenAI agents and ensuring platform consistency across cloud and hybrid environments.

Qualifications

• Strong MLOps experience required (4+ years).
• Hands-on with LLMs for at least 2 years or transition to LLMOps with understanding of LLM lifecycle.
• Experience with governance, security, and responsible AI practices.

Responsibilities

• Design governance frameworks for GenAI platforms with regulatory compliance.
• Enforce responsible AI practices including fairness, transparency, and auditability.
• Implement security protocols: IAM, data encryption, secure API access, model sandboxing.
• Collaborate with security teams for risk assessments and secure deployment 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, and observability.
• Develop GenAI agents capable of reasoning, planning, and tool use.
• Integrate LLMs from multiple providers (OpenAI, Anthropic, Cohere, Google, Azure) for hybrid strategies.
• Optimize prompt engineering, context management, and agent memory for production use.
• Ensure high availability, low latency, and cost-efficiency across cloud and hybrid environments.
• Monitor model drift, hallucinations, and performance degradation.

Skills

MLOps experience

Hands-on with LLMs

LLMOps lifecycle understanding

Education

Bachelor's or Master's in CS/Engineering

Tools

LangChain

LlamaIndex

Langraph

MLflow

Docker

AWS/GCP/Azure

Job description

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.