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 qualified 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
Solid communication skills and ability to thrive in agile, team-oriented teams

📌 Ai/ml Engineer Bengaluru (India)
🏢 TASC Outsourcing
📍 India