Senior Staff Engineer, Generative AI

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Comprehend clients’ business use cases and technical needs, transforming them into technical designs.

• Align architectural choices with requirements and convey them to developers.

• Explore alternative solutions and choose the one that most effectively satisfies client needs.

• Establish guidelines and benchmarks for non-functional requirements throughout project execution.

• Draft and evaluate design documents that encompass application architecture, frameworks, and high-level design.

• Assess architecture and design for extensibility, scalability, security, design patterns, user experience, and non-functional requirements.

• Create and design comprehensive solutions addressing both functional and non-functional requirements.

• Specify technologies, patterns, and frameworks to realize solutions.

• Grasp technology integration scenarios and apply insights to projects.

• Address coding and review issues through systematic root-cause analysis and rationalize decisions.

• Conduct proofs of concept to validate suggested designs and technologies.

⛳️ Requirements

• Minimum of 8 years of total experience.

• Profound knowledge of LLMs and Transformer architectures, including GPTs, Llama, Claude, Gemini, Qwen, Mistral, and BERT-family models.

• Expert-level skills in prompt engineering with proven experience in implementing RAG patterns.

• High expertise in Python and AI/ML libraries such as LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, and PyTorch/TensorFlow.

• Strong background in RAG architectures, prompt engineering, fine-tuning, distillation, and evaluation techniques.

• Significant experience utilizing managed AI/ML services like Azure Machine Learning Studio or AI Foundry.

• Solid understanding of vector databases such as Weaviate and Neo4j.

• Familiarity with GenAI evaluation metrics, including BLEU, ROUGE, perplexity, semantic similarity, and human evaluation.

• Capability to architect and implement scalable GenAI and Agentic AI solutions from start to finish.

• Proficiency in writing high-quality, production-ready Python code with strong testing and maintainability practices.

• Ability to productionize AI systems on Azure or AWS.

• Skill in building and exposing APIs using FastAPI and integrating databases through an ORM.

• Expertise in scaling GenAI solutions for enterprise workloads.

• Proven experience with GenAI deployments in production on Azure or AWS.

• Strong experience in scaling AI solutions in live environments.

• Exceptional Python programming skills with a proven track record of producing clean, efficient, and maintainable code.

• Successfully delivered at least one production GenAI/Agentic AI solution.

• Proficiency with FastAPI and familiarity with at least one ORM, such as SQLAlchemy or Tortoise ORM.

• Knowledge of Model Context Protocol (MCP).

• Contributions to open-source GenAI initiatives.

• Experience with React or another JavaScript framework is a plus.

• Excellent communication abilities and cross-functional collaboration skills.

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

🏝️ Benefits

• Option for remote work.

• Dynamic and non-hierarchical work culture.

• Opportunity to collaborate with a global team across 40 countries.