Senior Staff Engineer, Generative AI
New
J
JobgetherGenerative AI
IndiaFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of total professional experience
- Required Skills
- AWSPythonSnowflakeAzureFastAPILLMGenerative AILangChain
Requirements
- 8+ years of total professional experience in software engineering, AI/ML, data science, or closely related technical disciplines.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Deep understanding of LLMs and Transformer-based architectures (GPT, Llama, Claude, Gemini, etc.).
- Expert-level prompt engineering skills and strong hands-on experience implementing RAG patterns.
- Strong proficiency in Python and AI/ML technologies (LangChain, LlamaIndex, LangGraph, PyTorch, TensorFlow).
- Experience with fine-tuning, model distillation, model evaluation, and production ML development.
- Hands-on experience implementing anomaly-detection solutions.
- Strong knowledge of SQL, Pandas, SciPy, and Scikit-learn.
- Experience with Snowflake Data Cloud and Snowflake Cortex AI.
- Strong experience with managed AI/ML services on Azure or AWS.
- Experience building and exposing APIs with FastAPI and integrating applications with databases using ORM technologies.
- Familiarity with Model Context Protocol (MCP).
Responsibilities
- Translate client business use cases and technical requirements into scalable, practical technical designs.
- Architect and implement end-to-end Generative AI and Agentic AI solutions aligned with functional requirements.
- Design and implement RAG architectures, prompt engineering solutions, LLM applications, and AI agents for enterprise use cases.
- Develop high-quality, production-ready Python code and remain hands-on throughout solution implementation.
- Build and expose APIs using FastAPI and integrate AI applications with databases through ORM-based approaches.
- Productionize and scale AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
- Implement and evaluate RAG, LLM, fine-tuning, distillation, and model evaluation approaches.
- Collaborate with product and engineering stakeholders to convert business requirements into AI-driven solutions.
View Full Description & ApplyYou'll be redirected to the employer's site
