Urgent! Cloud Engineer Job Opening In Pushkar – Now Hiring EXL
We're looking for a highly skilled and experienced Cloud AI Engineer to join our dynamic team.
In this role, you'll be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions leveraging the full suite of Google Cloud Platform (GCP) services.
Objectives of this role
Lead the end-to-end development cycle of AI applications, from conceptualization and prototyping to deployment and optimization, with a core focus on LLM-driven solutions.
Architect and implement highly performant and scalable AI services, effectively integrating with GCP's comprehensive AI/ML ecosystem.
Collaborate closely with product managers, data scientists, and MLOps engineers to translate complex business requirements into tangible, AI-powered features.
Continuously research and apply the latest advancements in LLM technology, prompt engineering, and AI frameworks to enhance application capabilities and performance.
## Responsibilities
Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI, ensuring robust API design, security, and scalability.
Design and implement end-to-end LLM pipelines, encompassing data ingestion, processing, model inference, and output generation.
Utilize Google Cloud Platform (GCP) services extensively, including Vertex AI (Generative AI, Model Garden, Workbench), Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, to build, train, and deploy LLMs and AI models.
Expertly apply prompt engineering techniques and strategies to optimize LLM responses, manage context windows, and reduce hallucinations.
Implement and manage embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation (RAG) patterns.
Work with advanced LLM orchestration frameworks such as LangChain, LangGraph, Google ADK, and CrewAI to build sophisticated multi-agent systems and complex AI workflows.
Integrate AI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability.
Participate in code reviews, establish best practices for AI application development, and contribute to a culture of technical excellence.
Keep abreast of the latest advancements in GCP AI/ML services and broader AI/ML technologies, evaluating and recommending new tools and approaches.
## Required skills and qualifications
Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications, particularly those involving Large Language Models (LLMs).
Strong programming proficiency in Python, with significant experience in developing web APIs using FastAPI.
Demonstrable expertise with Google Cloud Platform (GCP), specifically with services like Vertex AI (Generative AI, AI Platform), Cloud Run/Functions, and Cloud Storage.
Proven experience in prompt engineering, including advanced techniques like few-shot learning, chain-of-thought prompting, and instruction tuning.
Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures.
Hands-on experience with at least one major LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI).
Solid understanding of software engineering principles, including API design, data structures, algorithms, and testing methodologies.
Experience with version control systems (Git) and CI/CD pipelines.
Preferred skills and qualifications
Bachelor’s or Master's degree in Computer Science
Good to have:
Experience with MLOps practices for deploying, monitoring, and maintaining AI models in production.
Understanding of distributed computing and data processing technologies.
Contributions to open-source AI projects or a strong portfolio showcasing relevant AI/LLM applications.
Excellent analytical and problem-solving skills with a keen attention to detail.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders
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Unlock Your Cloud Engineer Potential: Insight & Career Growth Guide
Real-time Cloud Engineer Jobs Trends in Pushkar, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Cloud Engineer in Pushkar, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 606647 jobs in India and 4092 jobs in Pushkar. This comprehensive analysis highlights market share and opportunities for professionals in Cloud Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! EXL is currently hiring and seeking a Cloud Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Cloud Engineer Jobs Pushkar.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EXL adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Cloud Engineer Jobs India varies, but the pay scale is rated "Standard" in Pushkar. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Cloud Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Cloud Engineer interview at EXL, research the company, understand the job requirements, and practice common interview questions.
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