About the Role
We are looking for two Senior Software Engineers who are truly AI-first—engineers with strong software architecture fundamentals who know how to effectively use modern AI tools (LLMs, RAG, agentic workflows) to build real, production-ready systems.
You’ll operate as a SWAT-style engineering team, jumping into high-priority AI initiatives, unblocking stalled projects or POCs, and driving new AI-powered products from concept through delivery. This role works closely with VP-level leadership and senior stakeholders, helping set the standard for AI-enhanced engineering across the organization.
What You’ll Do
Design and build end-to-end AI-enabled applications, including backend services, APIs, and front-end interfaces
Apply LLMs, RAG pipelines, and agentic patterns to solve real business problems—not just prototypes
Own the full SDLC: discovery, design, development, testing, deployment, and observability
Assess and stabilize struggling AI initiatives by identifying technical, data, or product gaps and executing clear recovery plans
Design scalable, secure AWS architectures using services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB/RDS, event-driven systems, and Bedrock/OpenAI integrations
Establish best practices for AI development, including prompt and version management, evaluation, monitoring, safety, and cost control
Collaborate closely with product, data, and leadership teams; communicate tradeoffs and iterate quickly based on feedback
Mentor engineers on modern software engineering and AI development practices
What We’re Looking For
7+ years of professional software engineering experience with strong full-stack capability
Hands-on experience building AI-powered applications using LLM platforms such as OpenAI, Anthropic, or AWS Bedrock
Experience implementing RAG systems, including embeddings, vector stores, and retrieval pipelines
Familiarity with agentic or orchestration frameworks such as LangChain, LangGraph, or custom solutions
Strong AWS experience designing, deploying, and operating production workloads
Proficiency in modern languages and frameworks such as TypeScript/Node.js, Python, Java, or Go, and front-end frameworks like React
Deep understanding of software architecture, CI/CD, testing, observability, and security best practices
Demonstrated ability to use AI to accelerate development while maintaining engineering rigor and code quality
Strong communication skills and comfort working directly with senior leadership and stakeholders
Ability to thrive in fast-moving, ambiguous environments
Nice to Have
Experience in media, streaming, or advertising technology
Previous work on tiger teams, SWAT teams, or innovation initiatives focused on accelerating or rescuing complex projects
Familiarity with data platforms such as Snowflake, Redshift, or Athena
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