Tekskills Inc
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Bengaluru · Hybrid · 3-6 Yrs · Aug 16
Information Technology Support Services · 501 to 1000 Employees · Princeton, US
Established in 2003 as a global design and development company with 11 offices around the world. As a global consulting and development company, we partner with clients across North America, Europe, Asia, and the Middle East in their digital transformation journeys. We have a 20-year history of creating and supporting mission-critical systems. The company revenues are up 26% year over year. Over 1000+ of our experts have the experience and expertise to develop solutions that optimize and manage the cloud, transform businesses, create collaborative enterprise solutions, and manage IT infrastructure.
Hiring: Engineering
What employees say
+ Good company good management I learnt a lot
− Nothing all are good all are good
More reviews on the company profile.
Interview experience · Software Engineer
it was good interview they asked question about spring boot java and mysql they asked question about spring boot and java basic and stream api and hashmap and sql queries
Average difficulty · Mumbai · 11 reports
More interview insightsJob description
Overview
Job Title: LLMOps Engineer GenAI Platforms
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.
- 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.
- Knowledge of Responsible AI, red‑teaming, and OWASP security priciples.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile