Job Description Summary

We are seeking a talented Staff Engineer to design, develop, and deliver scalable software solutions with a focus on Generative AI and modern cloud technologies. The ideal candidate will have strong software engineering fundamentals and hands-on experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. You will collaborate with cross-functional teams to translate business requirements into reliable, secure, and high-performing solutions while contributing to technical design, architecture, and engineering best practices.

Job Description

Key Responsibilities
Design, develop, and maintain enterprise-grade Generative AI applications.
Build Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
Develop AI assistants, copilots, and intelligent workflows using LLMs and AI orchestration frameworks.
Integrate foundation models from providers such as OpenAI, Anthropic, Azure OpenAI, Google Gemini, and open-source models.
Design and implement REST APIs and microservices to support AI applications.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Optimize AI application performance, scalability, latency, and operational costs.
Implement prompt engineering, model evaluation, and AI guardrails to improve solution quality.
Follow software engineering best practices, including code reviews, automated testing, CI/CD, and DevOps.
Contribute to technical design discussions and architecture decisions.
Mentor junior engineers and promote engineering best practices within the team.
Stay current with emerging AI technologies and recommend improvements to existing solutions.

Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
8+ years of software engineering experience, including hands-on experience with Generative AI technologies.
Strong proficiency in Python and SQL.
Experience building applications using Large Language Models (LLMs).
Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
Experience developing REST APIs and microservices.
Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Strong understanding of software design principles, distributed systems, and cloud-native application development.
Experience with Git, CI/CD pipelines, and modern software development practices.
Strong analytical, problem-solving, and communication skills.

Additional Information