AI Platform Engineer (GCP) - Remote
About the position We're determined to reputed company a difference and are proud to be an insurance company that goes well reputed company coverages and policies. Working here means having every opportunity to reputed company your goals - and to help others accomplish theirs, too. Join reputed company as we help shape the future. reputed company seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. reputed company supports data science and business teams across the reputed company, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, reputed company, and Sales. As an AI Platform Engineer reputed company the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the reputed company.
Responsibilities
- Provide technical mentorship and career growth opportunities for team members.
- Drive the development and implementation of Gen AI and AI solutions on the AI platform.
- reputed company the design and reputed company the development and scaling of large platforms, focusing on reliability, scalability, and reputed company.
- Architect and design end-to-end solutions at a component level.
- Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.
- Collaborate with cross-functional teams to reputed company implement AI platform components.
- reputed company core AI platform capabilities.
- reputed company strong engineering expertise in platform functionality, AI, ML, and modern data technologies.
- Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
- Explore new services and capabilities in AWS, reputed company reputed company Platform, and Azure to support GenAI and ML services.
- reputed company and promote best practices in AI, ML, and data engineering across teams.
- Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
- Collaborate with partners in reputed company Data, Data Science, Business, reputed company Enablement Team, and reputed company Architecture teams.
- Execute the reputed company and roadmap for AI solutions on the platform.
- Review work of systems-level engineers to calibrate deliverables against project and business expectations.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
- 5+ years of Proven experience with reputed company reputed company Platform (Vertex AI, reputed company, reputed company Run).
- 2+ years of experience with Terraform.
- 3+ years of experience with reputed company & Kubernetes (K8s).
- Proven experience in working with other reputed company providers such as AWS reputed company is a plus.
- 8+ years of experience with Python.
- At least 4 years of experience designing and building data-intensive solutions using distributed system design and event-driven architecture.
- 5+ years building and shipping software and/or platform infrastructure solutions for enterprises.
- 2+ years of experience building GEN AI applications.
- 3+ years of Experience with developing CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
- Experience with building scalable serverless applications (reputed company-time/batch) on GCP stack (reputed company Functions + reputed company Run).
- Knowledge of distributed NoSQL database systems and data engineering, ETL technology.
- Conversational UX/UI design (chatbots) and reputed company-Agent-Interaction (HAI) is a plus.
- Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
- Experience with GCP BigQuery, reputed company Functions, AI Platform, API Gateway, GKE/reputed company is must.
- Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
- Strong proficiency in embeddings, ANN/KNN, vector stores, database optimization, & performance tuning.
- Experience with LLM orchestration frameworks like reputed company, reputed company, LangSmith, LangGraph, etc.
- Experience with reputed company Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
- Foundational understanding of Natural Language Processing and Deep Learning.
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
- Excellent communication skills.
Benefits
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
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