ClearRoute Logo

ClearRoute

AI Platform Support Engineer

Posted 5 Days Ago
Be an Early Applicant
Hybrid
Pune, Maharashtra, IND
Mid level
Hybrid
Pune, Maharashtra, IND
Mid level
Supports production AI platforms by monitoring service health, triaging incidents, conducting root-cause analysis, and maintaining post-incident reviews. Builds observability dashboards, alerts, logging, deployment pipelines, vector database and ingestion workflows, automation, and runbooks for LLM workloads. Serves as an escalation point, supports onboarding, and collaborates with engineering and product teams to improve platform reliability and user experience.
The summary above was generated by AI

About Us:

ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.

We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.

Role:

· Monitor the health, latency, availability and error rates of AI services, model endpoints and supporting infrastructure.

· Triage, investigate and resolve incidents, from failed API calls and rate limiting to degraded model output quality.

· Run root-cause analysis and write clear, blameless post-incident reviews with follow-up actions.

· Take part in a shared on-call rota for production AI services. Platform reliability and observability

· Build and maintain dashboards, alerts and logging for LLM workloads, including token usage, latency, cost and evaluation metrics.

· Maintain and improve deployment pipelines for models, prompts, agents and RAG components.

· Manage vector databases, embedding pipelines and data ingestion jobs.

· Automate repetitive support tasks and runbooks.

Key Responsibilities:

· Act as the escalation point for AI platform issues raised by delivery teams and client users.

· Write and maintain runbooks, knowledge-base articles and user guidance.

· Feed recurring issues and improvement ideas back to engineering and product owners.

· Help onboard new teams and clients onto the platform.

Required Experience:

· 3+ years in platform support, site reliability engineering, DevOps or production support for cloud-hosted services.

· Hands-on experience supporting applications built on LLM APIs (for example OpenAI, Anthropic, Azure OpenAI, AWS Bedrock or Google Vertex AI).

· Strong working knowledge of at least one major cloud (AWS, Azure or GCP).

· Comfortable with containers and orchestration (Docker, Kubernetes). • Scripting and automation in Python plus Bash or PowerShell.

· Experience with observability tooling such as Datadog, Grafana, Prometheus, CloudWatch or Azure Monitor.

· CI/CD and infrastructure-as-code experience (for example GitHub Actions, GitLab CI, Terraform).

· Solid grasp of REST APIs, authentication, networking basics and log analysis.

· Proven incident management experience, including writing post-incident reviews.

· Clear written and verbal communication with both technical and non-technical aud

Desirable Experience:

· Experience with RAG architectures and vector databases (for example Pinecone, Weaviate, pgvector, Azure AI Search).

· Familiarity with agent and orchestration frameworks such as LangChain, LlamaIndex or the Model Context Protocol (MCP).

· LLM observability and evaluation tools such as LangSmith, Langfuse, Arize or Weights & Biases.

· Experience hosting or serving open-weight models (for example vLLM, Hugging Face, SageMaker).

· Awareness of AI governance and regulation, including the EU AI Act, ISO/IEC 42001 and GDPR.

· ITIL, Kubernetes (CKA/CKAD) or cloud certifications. •

· Experience in a consultancy or client-facing delivery environment, ideally in regulated sectors such as energy or financial services.

Working at ClearRoute
We have grown from six founders to 180+ people across five countries in three years, and what sets us apart isn't the pace, it's how we grow.

  • Real flexibility, in practice. We trust you to perform at your best and still have a life outside of work, with genuine hybrid working, a home office budget, an open feedback culture where your voice shapes decisions, and time off when life needs it (birthday included).

  • A community you'll genuinely want to be part of. Interest based communities like running and book clubs, Women in Tech group, monthly socials, and cross regional events bring people together across the company. An inclusive, collaborative culture where you don't need to conform to succeed, where people support one another and feel comfortable being themselves.

  • Where meaningful work meets real growth. You will tackle complex, real world problems at the forefront of platform engineering, AI, security, and scalable systems. Your growth is supported by learning budgets, Udemy access, a clear career framework, internal mobility, and thought leadership opportunities that take your impact beyond ClearRoute.

At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis.

We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at [email protected]

ClearRoute Pune, Maharashtra, IND Office

Pune, Pune, India

Similar Jobs

An Hour Ago
Hybrid
Senior level
Senior level
Financial Services
Develop fraud prevention strategies, analyze customer transactions and fraud patterns, apply AI and machine learning to improve detection, align policies with risk teams, monitor regulatory and technology changes, and mentor colleagues on fraud prevention procedures.
Top Skills: Artificial IntelligenceData AnalyticsMachine LearningWorkflow Automation
An Hour Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Designs and operates scalable machine learning infrastructure across the full ML lifecycle, including data pipelines, training, evaluation, model serving, deployment, monitoring, retraining, and rollback. The role establishes CI/CD, observability, reproducibility, and versioning standards; manages containerized Kubernetes environments and GPU workloads; and supports batch and real-time inference. It also evaluates MLOps tooling, enables LLMOps and retrieval systems, and leads technical initiatives across engineering, research, data, and platform teams.
Top Skills: AirflowSparkAWSAzureC++Ci/CdDockerDvcGCPGeospatial PlatformsGoInfrastructure As CodeJavaKubeflowKubernetesLidarLlmopsMlflowPythonTinymlVector Databases
3 Hours Ago
In-Office
Senior level
Senior level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Develops and leads pricing strategies for hardware, software, and services in the telecom sector. Conducts benchmarking and trend analysis, manages pricing approvals, builds business cases, and advises on profitability, cash flow, terms, and commercial risks. Supports customer negotiations through price sheets, discounts, and incentive structures while collaborating with sales, commercial, domain, and global teams. The role also advances pricing analytics, automation, and digitalization initiatives.
Top Skills: Ai-RanCloudExcelTelecom

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account