About The Role
We are seeking an AI/ML Engineer to join our team in Bengaluru. In this role, you will design, build, and deploy large language model–based solutions using OpenAI APIs, embeddings, and retrieval-augmented generation (RAG) techniques to power cutting-edge AI applications.
Responsibilities
- Design and implement LLM-based solutions leveraging OpenAI APIs
- Develop and integrate embedding pipelines for semantic search and similarity tasks
- Build, optimize, and maintain retrieval-augmented generation (RAG) systems
- Collaborate with data scientists, product managers, and cross-functional teams to define requirements
- Fine-tune and optimize models for performance, scalability, and cost efficiency
- Deploy, monitor, and maintain ML models and services in production environments
- Ensure code quality through best practices, testing, and documentation
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Minimum 2 years of professional experience in AI/ML engineering
- Strong expertise with large language models (LLMs) and natural language processing
- Hands-on experience with OpenAI APIs and associated tooling
- Proficiency in creating and utilizing embeddings for NLP applications
- Practical experience implementing retrieval-augmented generation (RAG) frameworks
- Advanced programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch, or similar)
- Solid understanding of data structures, algorithms, and software engineering principles
- Excellent problem-solving skills and attention to detail
Preferred Qualifications
- Master’s degree or higher in AI, Machine Learning, or related discipline
- Experience with vector databases (e.g., Pinecone, Milvus) and similarity search
- Familiarity with MLOps practices and CI/CD pipelines for ML
- Background in prompt engineering and custom model fine-tuning
- Experience with cloud platforms (AWS, GCP, or Azure) for ML deployment
- Strong communication skills and ability to thrive in agile, collaborative teams