3 days ago
Noida, IndiaStaff+
Responsibilities
- Design and implement AI-powered systems with agent orchestration, LLM integration, multi-agent workflows, tool and skill design, and prompt engineering.
- Develop core features hands-on, perform technical spikes, solve complex engineering problems, and establish architectural patterns and standards.
- Ensure AI systems meet performance, scalability, reliability, observability, safety, transparency, and compliance requirements.
- Identify and address technical debt, service health issues, incidents, deployment risks, and operational excellence opportunities.
- Influence architecture and technical decisions across teams and promote responsible AI, engineering quality, service ownership, and continuous improvement.
- Lead collaboration with product management, design, and operations on technical feasibility, architecture, and project delivery.
- Mentor engineers through code reviews, technical pairing, knowledge sharing, and guidance on AI systems and agent design.
- Drive planning and execution of complex AI projects, including model lifecycle management, evaluation pipelines, risk mitigation, and production support.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 8+ years of software development experience with demonstrated impact on large-scale, complex systems.
- 2+ years of experience in technical leadership roles involving architectural decisions and technical standards.
- Proven experience designing and delivering large-scale software projects in SaaS, enterprise, or highly available production environments.
- Deep expertise in one or more of C#, .NET, Python, Java, or JavaScript.
- Extensive experience with software architecture, design patterns, and system design at scale.
- Strong understanding of cloud technologies, DevOps principles, and build, test, and deployment pipelines.
- Experience building and operating AI-enabled systems safely, transparently, and compliantly.
- Preferred: master’s degree or PhD in Computer Science, Engineering, or a related technical field.
- Preferred: hands-on experience with Gemini, OpenAI, Anthropic, Google ADK, LangChain, RAG, prompt engineering, agentic workflows, AI evaluation, observability, and testing for non-deterministic systems.
- Preferred: production experience with Azure, AWS, or GCP, infrastructure-as-code, cost optimization, CI/CD automation, and monitoring complex AI/ML systems.
- Preferred: technical innovation, open-source contributions or published AI/ML work, cross-functional influence, and commitment to responsible AI, diversity, inclusion, and accessible technology.
Benefits
- UKG describes flexible work arrangements and benefits, but the posting does not provide specific benefit details or work-location logistics.
Tech Stack
Categories
About UKG
UKG builds cloud software for human capital and workforce management—HR, payroll, timekeeping, and scheduling—sold as SaaS to mid‑size and large employers. Formed in 2020 by the merger of Ultimate Software and Kronos, it is privately held by Hellman & Friedman and has dual headquarters in Lowell, Massachusetts, and Weston, Florida. Its platform helps organizations handle pay, compliance, and workforce planning across industries.