Artificial Intelligence Engineer - LLM Models

AI Engineer - Job Description :

We are looking for a skilled AI Engineer to develop, implement, and optimize AI solutions using cutting-edge generative AI technologies.

This role focuses on hands-on development of AI applications, model integration, and production deployment while working closely with our AI architecture team.

Key Responsibilities :

AI Application Development :

- Build and maintain AI-powered applications using LLM APIs (OpenAI, Claude, Gemini, etc.)

- Implement prompt engineering strategies and optimize model interactions for performance and cost

- Develop custom AI workflows including retrieval-augmented generation (RAG) systems

- Create robust error handling, fallback mechanisms, and response validation systems

Model Implementation & Fine-tuning :

- Fine-tune open-source models (Llama, Mistral, etc.) for specific use cases and domains

- Implement training pipelines using modern frameworks (PyTorch, Hugging Face Transformers)

- Conduct model evaluation, A/B testing, and performance optimization

- Manage model versioning and experiment tracking

Production Deployment & Operations :

- Deploy AI models and applications using FastAPI, Docker, and Kubernetes

- Build scalable microservices architecture for AI applications

- Implement monitoring, logging, and alerting for production AI systems

- Optimize inference performance, latency, and resource utilization

Integration & Data Engineering :

- Integrate AI capabilities into existing systems and workflows

- Build data pipelines for model training and inference

- Work with vector databases and embedding systems

- Implement caching strategies and data preprocessing pipelines

Required Qualifications :

Experience :

- 3+ years of experience in machine learning or software engineering

- 1+ years of hands-on experience with generative AI and LLM integration

- Demonstrated experience deploying ML models in production environments

Technical Skills :

- Proficiency with LLM APIs and SDKs (OpenAI, Anthropic, Google, etc.)

- Experience fine-tuning transformer models using Hugging Face, PyTorch, or similar

- Strong proficiency in Python and modern software development practices

- Hands-on experience with FastAPI, Docker, and containerization

- Experience with Kubernetes for container orchestration

- Knowledge of RESTful API design and microservices architecture

Core Competencies :

- Understanding of transformer architectures, embeddings, and attention mechanisms

- Experience with prompt engineering and model optimization techniques

- Familiarity with MLOps practices and tools (model versioning, monitoring, CI/CD)

- Strong debugging and troubleshooting skills

- Ability to work with large-scale data and distributed systems.

Preferred Qualifications :

- Experience with vector databases (Pinecone, Weviate, Chroma, etc.)

- Knowledge of retrieval-augmented generation (RAG) implementation

- Experience with model quantization and optimization techniques

- Familiarity with cloud platforms (AWS, GCP, Azure) and their AI services

- Experience with streaming and real-time AI applications

- Knowledge of AI safety and responsible AI practices

- Experience with specific domains (NLP, computer vision, etc.)

If your Interested Please Share your updated CV to karthik.b@creenosolutions.com

Note :
Only Healthcare / Legal / Finance Domains will be Considered.