Artificial Intelligence Engineer

One of the Healthcare AI Product Start ups based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products in a start up environment, let us connect and discuss.

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Position Overview:

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

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