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Cloud Engineer Job Opening In Thrissur – Now Hiring EXL


Job description

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

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Cloud Engineer Potential: Insight & Career Growth Guide


Real-time Cloud Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Cloud Engineer in Thrissur, India, highlighting market share and opportunities for professionals in Cloud Engineer roles.

649589 Jobs in India
649589
4012 Jobs in Thrissur
4012
Download Cloud Engineer Jobs Trends in Thrissur and India

Are You Looking for Cloud Engineer Job?

Great news! 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: .

The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Cloud Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Thrissur. 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.

What Are the Key Qualifications for Cloud Engineer?

Key qualifications for Cloud Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Cloud Engineer?

To improve your chances of getting hired for Cloud Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Cloud Engineer Job Success

EXL interview tips for Cloud Engineer

Here are some tips to help you prepare for and ace your Cloud Engineer job interview:

Before the Interview:

Research: Learn about the EXL's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Cloud Engineer interview at EXL, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EXL's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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