AI Engineer (Weekend on call Support, LLMs, NLP, RAG, Multimodal AI Systems, Langchain, APIs, Python, AWS)
2 months ago
ResponsibilitiesDesign and develop AI/ML solutions using LLMs, NLP, and Deep Learning modelsBuild and optimize Retrieval-Augmented Generation (RAG) pi.....
Responsibilities
- Design and develop AI/ML solutions using LLMs, NLP, and Deep Learning models
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases
- Develop and deploy CNN–RNN based architectures for multimodal applications (vision, speech, text)
- Integrate AI models into production systems via REST APIs and microservices
- Develop scalable backend services using Python
- Deploy, monitor, and maintain AI solutions on AWS (or other cloud platforms)
- Build and manage end-to-end ML pipelines, including data ingestion, training, evaluation, and inference
- Optimize model performance for latency, scalability, and cost efficiency
- Collaborate with cross-functional teams to translate business requirements into AI solutions
- Implement CI/CD pipelines for model deployment and continuous integration
- Ensure best practices in model governance, security, and compliance
Requirements
- 3+ years of programming experience in Python
- Strong hands-on experience with LLMs (Eg: Claude)
- Experience building RAG pipelines and vector search systems
- Solid understanding of Machine Learning & Deep Learning concepts
- Experience with CNN, RNN, or Hybrid architectures
- Experience in Natural Language Processing (NLP)
- Experience with REST APIs and Microservices architecture
- Hands-on experience with AWS services
- Experience with Docker and CI/CD tools, GitHub, Jenkins
- Experience with frameworks like TensorFlow or PyTorch
- Experience with LangChain, LangGraph, or AI agent frameworks
- Experience with multimodal AI systems
- Experience in data pipelines and distributed systems
- This role requires weekend on call support
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