Senior Staff Engineer

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

📋 Description

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

• Align decisions with requirements and convey these to developers.

• Explore various solutions and refine them to find the optimal choice for client specifications.

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

• Draft and evaluate design documents detailing application architecture, frameworks, and high-level designs.

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

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

• Specify technologies, patterns, and frameworks necessary to implement solutions.

• Grasp technology integration scenarios and apply insights gained to projects.

• Troubleshoot code and review issues using systematic root-cause analysis and provide rationales for decisions made.

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

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

• Collaborate with product and engineering teams to transform business needs into AI-driven solutions.

⛳️ Requirements

• Minimum of 8 years of overall experience.

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

• Advanced prompt engineering capabilities and proven experience in implementing RAG patterns.

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

• Strong background in implementing RAG architectures and prompt engineering practices.

• Extensive experience with fine-tuning, distillation techniques, and evaluation processes.

• Solid experience utilizing managed AI/ML services like Azure Machine Learning Studio and AI Foundry.

• Strong 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 write high-quality, production-ready Python code with robust testing and maintainability standards.

• Proficient in productionizing AI systems on Azure or AWS.

• Skilled in building and exposing APIs using FastAPI and integrating with databases via an ORM.

• Ability to scale GenAI solutions for enterprise workloads effectively.

• Strong aptitude for architecting and coding GenAI/Agentic AI solutions.

• Demonstrated production experience with GenAI deployments on Azure or AWS.

• Significant experience in scaling AI solutions in live environments.

• Excellent Python programming skills, with a history of producing clean, efficient, and maintainable code.

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

• Proficiency in FastAPI and at least one ORM, like SQLAlchemy or Tortoise ORM.

• Familiarity with Model Context Protocol (MCP).

• Contributions to open-source GenAI projects are a plus.

• Experience with React or another JavaScript framework is advantageous.

• Exceptional communication skills with the ability to work collaboratively across diverse teams.

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

🏝️ Benefits

• Employees have the option to work remotely.