Generative AI Engineer (1-2 yrs)

Generative AI Engineer.

Cloud Destinations | Chennai or Coimbatore, India | Full-Time.

Job Overview :

We are seeking a highly skilled Generative AI Engineer to lead and grow our AI innovation team, driving the design, development, and implementation of cutting-edge AI solutions and machine learning architectures.

In this role, you will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to transform complex challenges into intelligent, scalable AI-powered systems.

If you're passionate about pushing the boundaries of artificial intelligence, leveraging state-of-the-art machine learning technologies, and building transformative solutions that drive business impact, we want you on our team!.

Key Responsibilities :

- Model Frameworks and Platforms.

- Generative AI Technologies.

- Extensive experience with :

1. Large Language Models (LLMs).

2. OpenAI GPT models (3.5, 4).

3. Anthropic Claude.

4. Meta LLaMA.

5. Hugging Face transformers.

6. Retrieval Augmented Generation (RAG) architectures.

7. Open-source and proprietary LLM implementations.

8. Infrastructure and Cloud Platforms.

9. AI/ML Infrastructure Deployment.

Proficiency in :

- AWS SageMaker.

- Microsoft Azure AI.

- Google Cloud AI Platform.

- Azure OpenAI Services.

- Databricks.

- Development and Optimization.

- AI Model Development.

Develop and deploy sophisticated AI models using :

1. Python.

2. PyTorch.

3. Transformers libraries.

- Design and implement complex machine learning algorithms.

- Implement advanced prompt engineering techniques.

- Conduct comprehensive performance evaluations : .

1. Model fine-tuning.

2. Hyperparameter optimization.

3. Quantitative performance metrics.

4. Bias and safety evaluation.

Specialized Skills :

- Advanced AI Capabilities.

- Prompt engineering.

- Few-shot and zero-shot learning.

- Model alignment and safety techniques.

- Multimodal AI model development.

- Transfer learning strategies.

- Production Engineering.

- System Integration.

- Integrate AI capabilities into enterprise-level production systems.

- Ensure scalability, efficiency, and reliability of AI-powered applications.

- Implement robust continuous integration and deployment (CI/CD) practices.

- Advanced Techniques.

Conduct advanced experimentation including :

- A/B testing methodologies.

- Feature flag management.

- Hypothesis-driven development.

- Statistical significance testing.

- Controlled deployment strategies.

Leverage open-source tools :

- MLflow.

- Weights & Biases.

- Develop sophisticated retrieval and agentic AI systems.

- Ongoing Development.

- Stay current with latest AI and machine learning research.

- Proactively propose innovative improvements to generative AI capabilities.

- Translate complex business requirements into actionable AI solutions.

Required Qualifications :

- Educational Background Bachelor's or Master's in Computer Science.

Technical Expertise :

- Advanced Python proficiency.

- PyTorch.

- Machine Learning algorithms.

- Deep Learning.

- Natural Language Processing.

- Large Language Models (LLMs).

- Retrieval Augmented Generation (RAG).

Tools and Technologies : MLflow, Weights & Biases, Hugging Face Transformers, Vertex AI, Azure ML, AWS SageMaker, DataBricks, LangChain, LlamaIndex, DVC, OpenAI API, Anthropic Claude API, Cohere, Azure OpenAI, Google PaLM API, PromptLayer, Cloud AI Platforms (AWS, Azure, Google).

Professional Experience :

- Minimum 3+ years in software engineering or AI/ML development.

- Demonstrable experience in developing machine learning systems.

- Track record of successful AI/ML project implementations.

Preferred Qualifications :

- Practical experience in Healthcare, Retail, or Technology sectors.

- Advanced RAG implementation expertise.

- Proficiency with open-source AI experimentation tools.

Skills Assessment :

Ideal candidates will demonstrate :

- Strong analytical and problem-solving capabilities.

- Ability to communicate complex technical concepts.

- Collaborative and independent work approach.

- Adaptability in fast-paced technological environments.

- Compensation and Benefits.

- Competitive salary commensurate with experience.

- Cutting-edge project opportunities.

- Professional development support.

- Innovative work environment.

Application Process :

- Qualified candidates should submit.

- Comprehensive resume.

- Detailed portfolio of AI/ML projects.

- Professional references highlighting technical achievements.

About Cloud Destinations Inc :

Founded in 2016 and headquartered in Silicon Valley, Cloud Destinations Inc. is one of the fastest-growing IT services companies in North America. We specialize in providing cuttingedge solutions in Cloud Computing, Software Engineering, IT Security, and Data Engineering.

With a global presence, we operate from oHices in the San Francisco Bay Area, India, Canada, Malaysia, and Indonesia, enabling us to deliver top-tier services to clients around the world. At Cloud Destinations, we are committed to driving innovation and excellence, oHering a comprehensive suite of managed IT services, backed by our 24x7x365 Network Operations Center (NOC) and Security Operations Center (SOC) located in India, the USA, and Malaysia.

Our team of skilled professionals ensures that our clients receive uninterrupted support and proactive solutions to their IT challenges. We pride ourselves on maintaining the highest standards of data security and quality, evidenced by our ISO 27001 and SOC 2 Type 2 certi- cations. By continuously evolving and staying at the forefront of technology, we help businesses navigate their digital transformation journeys and achieve long-term success.

Whether you're looking to optimize your cloud infrastructure, secure your data, or streamline IT operations, Cloud Destinations Inc. is your trusted partner in delivering scalable, eHicient, and secure solutions.