Staff Software Engineer-Python, Gen AI,LLM

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.

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
Bachelors or Masters 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.