Senior AI Software Engineer

Job Title: Sr. Software Engineer - AI

Location: El Segundo, CA

Duration: Long-Term Contract

Schedule: Hybrid Role (1-2 Days Onsite/week)

**Must have strong communication**

Job Description:

Looking for a Senior Software Engineers who is truly an AI-first engineer 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