Full-Time Staff Engineer, Generative AI

• Total experience 7+ years.
• Deep understanding of LLMs & SLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
• Expert-level prompt engineering skills and proven experience implementing RAG patterns
• Experience with fine tuning models using (LORA, PEFT, Quantization)
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j)
• Understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Write high-quality, production-ready Python code with strong testing and maintainability practices.
• Productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Build and expose APIs using FastAPI, integrating with databases through an ORM.
• Scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• Architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure or AWS.
• Experience in scaling AI solutions in live environments.
• Strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Delivered at least one production GenAI/Agentic AI solution.
• Proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Familiarity with Model Context Protocol (MCP).
• Contributions to open-source GenAI projects.
• Experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

• Understanding client’s business use cases and technical requirements.
• Mapping decisions with requirements.
• Identifying different solutions.
• Defining guidelines and benchmarks for NFR considerations.
• Writing and reviewing design document.
• Reviewing architecture and design.
• Developing and designing the overall solution.
• Understanding and relating technology integration scenarios.
• Resolving issues during code/review.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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