Note: The job is a remote job and is open to candidates in USA. Sears is a company focused on home services and is seeking a Forward Deployment Engineer Intern to work within the SearsKAIros Applied AI Division. This role involves partnering with operational teams to develop AI-driven automation solutions, rapidly prototyping and deploying AI agents to optimize workflows across various business functions.
Responsibilities
- Shadows business operators, dispatchers, planners, analysts, and finance partners to understand and document current manual processes and workflows
- Analyzes operational pain points and translate business workflows into AI agent specifications
- Designs, builds, tests, and deploys AI agents on the SearsKAIros Applied AI platform
- Integrates AI agents with internal systems and external AI models including Claude, OpenAI Realtime, Gemini, and MCP servers
- Prototypes and iterates quickly, owning the full lifecycle of AI solutions from concept through production deployment
- Develops evaluations, guardrails, monitoring, and rollback procedures for deployed AI agents
- Builds dashboards, KPI tracking, and reporting tools to measure operational and business impact
- Collaborates with engineering teams, operational leadership, and field teams to support implementation and adoption
- Trains users, respond to escalations, and incorporate operational feedback into continuous improvements
- Documents implementation patterns, best practices, and reusable processes to accelerate future AI deployments
- Presents workflow analyses, solution recommendations, and performance outcomes to stakeholders and leadership teams
Skills
- Some undergraduate education
- 1-2 years of related experience
- 18 years of age or older
- Strong software engineering fundamentals with proficiency in Python and TypeScript
- Ability to quickly understand and modify unfamiliar codebases
- Hands-on experience building applications using Large Language Models (LLMs), including prompting, tool usage, function calling, retrieval systems, agent loops, and evaluation frameworks
- Experience deploying or shipping AI-based solutions or applications
- Working knowledge of SQL and data analysis tools, including the ability to independently query and analyze data from platforms such as Snowflake
- Strong problem-solving skills and ability to work effectively in ambiguous, fast-paced environments
- Excellent written and verbal communication skills, including the ability to document workflows and present findings clearly to both technical and non-technical audiences
- Ability to collaborate directly with operational stakeholders and business users
- Currently enrolled in a Bachelor s, Master s, or PhD program in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics, or a related quantitative field
- Authorized to work in the United States and able to complete required background checks prior to systems access
- Familiarity with MCP, agent orchestration frameworks, or related technologies such as LangChain, LlamaIndex, or OpenAI Agents SDK
- Prior internship or project experience deploying AI or machine learning solutions in enterprise or operational environments
- Exposure to field service operations, logistics, supply chain, contact center operations, or finance workflows
- Experience working with voice agents, real-time APIs, or telephony integrations
- Demonstrated ability to rapidly prototype and operationalize AI solutions with measurable business impact
Company Overview