דרושים » AI » software engineer (mid) - backend AI Engineer

we are a well-funded company that develops a cloud-based, self-service customer analytics and personalization solution for retailers. this solution helps retailers leverage their customer data to improve loyalty and engagement.
we are seeking an experienced senior Developer with deep expertise in Python and ai development to join our team. the ideal candidate will have hands-on experience building ai-powered applications and agentic ai systems that can autonomously perform complex tasks.
design and build autonomous ai agents capable of multi-step reasoning and task execution
work with llms (large language models) and agentic frameworks (autogen, microsoft agent framework)
responsible for implementing micro-services from design to production.
take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized api services
participate in all aspects of agile software development including design, implementation, and deployment.
responsible for the end-to-end lifecycle of new product features / components
ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
work with a small, cross-functional team on products and features to drive growth.
learning new tools, languages, workflows, and philosophies to grow
research and suggest new technologies for boosting the product.
have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

we are looking for a talented software engineer to join the ai solutions team in our Linux networking drivers organization. our mission is to bring ai into every stage of how we build software: design, development, verification, debugging, and release. we build ai agents and tools that make our engineers faster and our drivers better.
this is a hands-on development role in a field that changes every few months. you will turn new ai capabilities into solutions that engineers use every day, and you will help decide where ai can make the biggest difference next. if you are passionate about ai and want to apply it to a complex, real engineering domain, we want to hear from you.
what you will be doing:
design, develop, and deploy ai agents and tools for the software development lifecycle.
work with developers and Verification engineers to understand their workflows and find where ai can help most.
measure the quality of ai solutions and improve them based on data.
connect ai solutions to engineering systems and data, and run them reliably in production.
follow the fast progress of ai models and tools, and bring the best of them into the team's work.

as a member of the hardware infrastructure eda compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. you will combine deep scheduler expertise (lsf, slurm) with automation, ci/cd, and llm-based tooling to keep the eda and gpu-accelerated ai compute environment resilient and measurable.
what you'll be doing:
manage, scale, and optimize job scheduling systems (lsf, slurm, etc.) in a large-scale, multi-site environment supporting eda and other compute-intensive workloads
analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time
building and improving our ecosystem around gpu-accelerated computing
define and develop automation scripts and wrappers tools for ic design environment
identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents
root cause analysis and suggest corrective action for problems large and small scales
partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure