Software Engineer III - AI/ML, Prompt Engineer
INR 2475K-4132K (estimate) Senior-level Full Time
Tasks
- Apply machine learning for classification and NLP
- Build multi-step agent workflows
- Collaborate with engineers, product owners, and stakeholders
- Communicate to technical and business audiences
- Define and execute prompt and model evaluation criteria
- Design and run offline and online experiments
- Design production-grade prompts for enterprise workflows
- Develop Python orchestration and automation scripts
- Implement LLM integration patterns
- Implement safety guardrails and fallback strategies
- Implement vector and graph and relational retrieval storage
- Integrate retrieval-augmented generation
- Monitor production workflows with observability and drift detection
- Optimize embeddings and tokenization and context management
- Prepare data and engineer features and curate datasets
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Integration | B testing | Chain-of-Thought | Classification | Data Transformation | Dataset curation | Drift Detection | Embeddings | Experimentation Frameworks | Fallback strategies | Feature Engineering | Graph Databases | Guardrails | Hugging Face | Hugging Face Transformers | Langchain | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Serving | Model routing | NLP | NoSQL | Observability | PGVector | Pinecone | Production Monitoring | PyTorch | Python | Relational databases | Response validation | Retrieval-Augmented Generation | Risk and controls | Safety filters | Scikit-learn | TensorFlow | Tokenization | Transformer Models | Vector Databases
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