Job
Description
As a Software Engineer specializing in AI applications, your role will involve designing, developing, and maintaining production-grade AI applications and services using modern software engineering practices. This includes implementing foundational platforms such as conversational bots, AI-powered search, unstructured data processing, and GenBI that are reusable and scalable across the enterprise. You will be leading architectural decisions and cross-functional team initiatives to rapidly build and deploy AI solutions that address high-priority problems. Additionally, you will evaluate and integrate existing AI tools, frameworks, and APIs into robust applications, champion automation in workflows, and partner with data scientists and product managers to ensure end-to-end delivery and reliability of AI products. Your responsibility will also include staying current with emerging AI technologies, contributing to the internal knowledge base, tooling libraries, and documentation, and mentoring other engineers and data scientists to raise the bar for rigor and impact across projects. Key Responsibilities: - Design, develop, and maintain production-grade AI applications and services using modern software engineering practices - Define and implement foundational platforms that are reusable and scalable across the enterprise - Lead architectural decisions and cross-functional team initiatives to rapidly build and deploy AI solutions - Evaluate and integrate existing AI tools, frameworks, and APIs into robust applications - Champion automation in workflows and partner with data scientists and product managers for end-to-end delivery and reliability - Stay current with emerging AI technologies and contribute to the internal knowledge base and documentation - Mentor other engineers and data scientists to raise the bar for rigor and impact Qualifications Required: - 7+ years of professional software engineering experience with the ability to independently design and ship complex systems in production - Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems - Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices - Experience integrating machine learning models into production systems - Ability to move quickly while maintaining code quality, test coverage, and operational excellence - Strong problem-solving skills, bias for action, and ability to navigate ambiguity - Strong experience with technical mentorship and cross-team influence - Ability to translate complex technical ideas into clear business insights and communicate effectively with cross-functional partners Preferred Qualifications: - Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems - Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits - Experience building reusable modeling components or contributing to internal ML platforms - Proficiency in Python and common ML/data science libraries - Solid knowledge of machine learning fundamentals and statistical inference - Exposure to working with unstructured data and transforming it into usable structured formats - Experience building chatbots, search systems, or generative AI interfaces - Background in working within platform engineering or internal developer tools teams As a Software Engineer specializing in AI applications, your role will involve designing, developing, and maintaining production-grade AI applications and services using modern software engineering practices. This includes implementing foundational platforms such as conversational bots, AI-powered search, unstructured data processing, and GenBI that are reusable and scalable across the enterprise. You will be leading architectural decisions and cross-functional team initiatives to rapidly build and deploy AI solutions that address high-priority problems. Additionally, you will evaluate and integrate existing AI tools, frameworks, and APIs into robust applications, champion automation in workflows, and partner with data scientists and product managers to ensure end-to-end delivery and reliability of AI products. Your responsibility will also include staying current with emerging AI technologies, contributing to the internal knowledge base, tooling libraries, and documentation, and mentoring other engineers and data scientists to raise the bar for rigor and impact across projects. Key Responsibilities: - Design, develop, and maintain production-grade AI applications and services using modern software engineering practices - Define and implement foundational platforms that are reusable and scalable across the enterprise - Lead architectural decisions and cross-functional team initiatives to rapidly build and deploy AI solutions - Evaluate and integrate existing AI tools, framewo
