Software Engineer

Remote (Must be in US for duration of contract) As a Senior Software Engineer in this space, you will drive AI adoption within HR, Talent and Recruiting Space with engineering and non-engineering functions to identify, prototype, and scale high-impact AI automation solutions. You will drive initiatives from ideation to initial implementation and broader productionalization, while ensuring these solutions deliver tangible ROI and pave the way for broader AI adoption. This role requires a unique blend of strategic thinking, hands‑on technical ability, and exceptional cross‑functional collaboration. What You'll Do: Partner with HR, Talent and Recruiting organization to deeply understand workflows, identify pain points, and uncover high‑leverage opportunities for AI automation and efficiency gains. Translate complex business challenges into actionable AI use cases. Apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to rapidly design, build, and iterate on functional prototypes (e.g., AI agents, custom copilots, intelligent workflows) that address business needs. Write high‑quality, well‑tested code in Python, Golang, Node.js, and React 18 to support these solutions. Collaborate with cross‑functional teams to evolve prototypes into scalable, secure, production‑grade AI solutions aligned with long‑term organizational goals. Provide guidance on AI capabilities, responsible AI usage, prompt engineering best practices, and strategic integration of AI into daily operations. Mentor team members on design principles, coding standards, and AI productivity tools adoption. Pilot new AI solutions with Business Stakeholders and Product Managers, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value and smooth transitions. Partner with central AI Platform and DevX teams to leverage existing infrastructure, contribute to shared knowledge bases, and ensure scalability and security of solutions. Work with Security, Legal, and Compliance teams to ensure all AI solutions adhere to strict security, privacy, and ethical guidelines, especially for sensitive data and high‑risk workflows. Define success metrics, track ROI, and effectively communicate the value delivered by AI initiatives to stakeholders. Continuously research and experiment with emerging AI models, tools, and industry best practices to bring cutting‑edge solutions. What We're Looking For: 5+ years of experience in software engineering, with at least 6 months focused on applied AI, Generative AI, or intelligent automation. Strong Software Engineering Skills: Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of microservices architecture. Ability to write high‑quality, well‑tested code that meets customer needs. Strong technical skills in system design, coding, and debugging complex technical issues to enhance system reliability and scalability. AI & Automation Skills: Understanding of LLM capabilities, limitations, and architectures (e.g., RAG, agents, fine‑tuning concepts). Hands‑on experience with AI tools and platforms (e.g., enterprise LLMs like Gemini/Claude, no‑code/low‑code automation platforms, agent frameworks LangChain/LangGraph, Python). Hands on experience on any or all of these #J-18808-Ljbffr Tundra Technical Solutions