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Tech Stack
Tools & technologiesOraclePythonServiceNow
About the role
Key responsibilities & impact- Partner with acquired companies to scope and implement AI Agent use cases across complex workflows
- Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
- Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
- Document technical decisions and hand off stable deployments
Requirements
What you’ll need- 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role
- Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
- Familiarity with building LLM applications, RAG systems, or conversational AI workflows
- Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)
- Ability to translate business problems into technical solutions—and deliver them fast
- Strong interpersonal skills; you’re just as comfortable on a whiteboard with a customer as you are in code
- Bias toward action, ownership, and continuous learning in dynamic environments
- Nice to Have: Background in SaaS, customer experience, support operations, or manufacturing systems
- Experience deploying AI in mission-critical environments
- Prior work with enterprise AI platforms or multi-agent orchestration
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI frameworksML frameworksOpenAIHugging FaceLangChainPineconeWeaviateAPI integrationmiddleware
Soft Skills
interpersonal skillsproblem-solvingownershipcontinuous learningcommunicationcollaborationadaptabilitycustomer engagementtechnical documentationfast delivery
