Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox
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Job Description
Home/Jobs/Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox
Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox
DV
NYC
6+ years
Today
$128.9K–232.5K/yr
Full-time
Onsite
Skills Required LLM
RAG
Embeddings
retrieval
agent orchestration
Python
SQL
Kubernetes
container-based infrastructure
orchestration
memory layers
AI data quality
observability
Description DV’s Rockerbox team is building the next generation of marketing intelligence, with a focus on AI systems, automations, and decisioning engines that drive real business outcomes. This role is centered on turning high-volume data into production AI tooling and interfaces.
Company: Rockerbox
Role: Sr. Software Engineer II - AI Tooling and Interfaces
Location: NYC Global HQ
Experience
- 6+ years of experience in software engineering, data engineering, or large-scale distributed systems
- Hands-on experience integrating LLMs into production systems
- Strong proficiency in Python and SQL
- Experience with Kubernetes and container-based infrastructure and deployment
- Comfortable working from ambiguity to execution
- Strong communication skills to explain tradeoffs, scope decisions, and technical strategy clearly
Responsibilities
- Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization
- Translate product requirements into AI-driven solutions that directly impact the client experience
- Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities
- Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes
- Design retrieval, orchestration, and memory layers that make AI agents smarter over time
- Establish best practices for AI data quality, observability, and safety
Additional Responsibilities
- Build systems purpose-built for AI agents, automations, and decisioning engines
- Help deliver systems that drive real outcomes for clients and internal teams
Nice To Have
- Bonus components may include bonus/commission, equity, and benefits
More Skills AI systems, vector stores, data engineering, large-scale distributed systems, storage, metadata, reliability, latency, failure modes, safety
Prepare for this role
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- curated
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