Ai engineer

Job Title : AI Engineer (Hybrid – Bangalore | 5+ Years Experience)

Location : Bangalore (Hybrid – 2 Days Office)

Experience : 5+ Years

Company : [Your Company Name]

About the Role :

We are seeking an experienced AI Engineer with strong expertise in Python, Machine Learning, and Generative AI (GenAI) . The ideal candidate will have hands-on experience with Large Language Models (LLMs) , vector databases , and cloud-native deployments . You’ll design, develop, and deploy AI-powered systems that are scalable, high-performing, and seamlessly integrated across platforms.

Key Responsibilities :

• Design, develop, and deploy scalable AI / ML systems and intelligent services .
• Build robust APIs and back-end components integrating LLMs, embeddings, and vector databases (FAISS, Pinecone, etc.).
• Fine-tune and optimize AI / ML models for specific business use cases.
• Develop reusable, efficient Python code to support AI workflows.
• Integrate user-facing elements with AI-driven back-end logic.
• Ensure high performance, reliability, and responsiveness of AI services.
• Collaborate cross-functionally with data scientists, DevOps, and product teams .
• Work with Docker and manage deployments on AWS (EC2, S3, Lambda, SageMaker).
• Implement and maintain CI / CD pipelines for continuous integration and delivery.
• Monitor and enhance AI systems in production for optimal performance.
• Mentor junior developers and foster an AI-first engineering culture.
• Stay updated with the latest AI research, tools, and industry trends .

Skills & Qualifications :

✅ Proven experience as an AI / ML Engineer or similar role.

✅ Strong command of Python and frameworks like PyTorch, TensorFlow, or Hugging Face Transformers .

✅ Hands-on with GenAI, LLMs, embeddings, and vector databases (FAISS, Pinecone, etc.).

✅ Knowledge of RAG (Retrieval-Augmented Generation) and prompt engineering .

✅ Experience with model fine-tuning, deployment, and inference optimization .

✅ Proficiency in FastAPI or similar modern Python frameworks.

✅ Knowledge of ORMs (SQLAlchemy) and database design (SQL & NoSQL).

✅ Solid experience with Docker and container orchestration .

✅ Strong understanding of AWS cloud services (EC2, S3, Lambda, SageMaker).

✅ Familiarity with authentication, authorization, and API security .

✅ Basic front-end understanding (HTML5, CSS3, JavaScript) – a plus.

✅ Strong grasp of performance optimization, distributed systems , and scalable architectures .

✅ Proficiency with Git , version control, unit testing , and debugging.

✅ Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field .

✅ Excellent problem-solving, communication, and teamwork skills .