pipelines used to extract data from medical and legal documents Support testing and monitoring of LLM-based workflows...
guidance and collaborate with cross-functional teams. Nice to Have: Experience with LLM fine-tuning and customization (LoRA...
- - Deep Learning: CNNs, RNNs, Transformers - 2. LLMs and Generative AI - - LLM Applications: Experience building production... LLM-based applications - - Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies...
Strategy, Automation & Evaluation - Design deterministic and statistical testing approaches for non-deterministic LLM-based...-native SaaS environments, including 2+ years hands-on with AI/ML/LLM systems. - Expertise in automated testing...
) to increase development velocity and code quality. - Contribute to internal developer tools, AI agent integrations, and LLM...
), Lambda, API Gateway, and S3 - Perform prompt engineering, configure API-based AI workflows, and deploy real-world LLM... experience with MySQL and MongoDB - Experience implementing AI/LLM services via AWS especially AWS Bedrock, Claude, or GPT...
, Random Forests, K-Nearest Neighbors, K-Means Clustering, LLM, XGBoost, Neural Networks, …). - Develop and implement... Generative AI solutions, including LLM‑based pipelines, retrieval‑augmented generation (RAG), prompt engineering, and AI agents...
cases. - LLM Evaluation & Optimization: Design and implement rigorous evaluation pipelines for LLM-powered agents...: Mandatory expertise in Python and deep familiarity with core LLM APIs and frameworks (OpenAI SDK, Google AI SDK, CrewAI...
required) - Practical experience integrating and operating LLM-based systems in production - Deep understanding of agentic AI concepts... - Experience with Retrieval-Augmented Generation (RAG) and vector databases - Familiarity with LLM evaluation frameworks...
across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.) - LLM Solutions: Strong experience... in architecting LLM-based applications - Classical ML: Foundation in traditional ML algorithms and when to use them - Deep Learning...
to Have - Experience with LLM fine‑tuning, embeddings, or vector databases. - Knowledge of queueing systems (Celery, RabbitMQ, Kafka...
integration of AI‑powered and LLM‑driven features, ensuring backend services can effectively support intelligent user experiences... LLM workflow integration, AI service API patterns, and backend support for intelligent or AI‑assisted user experiences...
resulting data objects are optimized for LLM/ML consumption. - Quality & Performance Tuning: Rigorously test, benchmark...
is critical in validating user experiences, APIs, and LLM-powered functionality, safeguarding accuracy, compliance...; - Understanding of LLM evaluation principles, including prompt engineering, output validation, and model fine-tuning cycles...
- ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks - LLMs and Generative AI - LLM... Applications: Experience building production LLM‑based applications - Prompt Engineering: Ability to design effective prompts...
looking for "vibe coders" who blindly follow LLM suggestions. We need engineers who understand the "why" behind the "how," ensuring...