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Tech Stack
Tools & technologiesAWSPython
About the role
Key responsibilities & impact- Build, and own end-to-end Data & AI platform (Databricks,AWS or other tech stack) from ideation, prototyping, production deployment and monitoring.
- Architect and scale company-wide GenAI capabilities to support domain-specific business AI Agents embedded into real operational workflows.
- Provide documentation and support to business users to deploy and manage AI agents at scale.
- Lead platform investments in areas like RAG infrastructure, embedding pipelines, LLM orchestration, and multi-modal data processing.
- Serve as a technical anchor and mentor for the broader AI & Data team, raising the engineering bar across the organization.
- Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems.
- Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance.
- Collaborate closely with top-tier engineers, data scientists, and business users in a fast-moving environment.
- Apply and scale software engineering excellence, including reliability, observability, and maintainability of production data & AI systems.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science or related Engineering discipline.
- 10+ years of industry experience in software engineering or data platform development.
- 3+ years of experience owning the development, testing, deployment, monitoring, and support of web applications and backend APIs.
- 0-1+ year of experience building and deploying production-ready Generative AI solutions, with responsibility for reliability and performance.
- 1+ year of experience in administering AWS platform.
- Strong expertise in Python and AI/ML fundamentals, particularly Generative AI solutions (e.g., LLMs, vector databases, prompt engineering, embeddings, RAG systems).
- Experience with AI agent development frameworks and tooling (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI SDK, MCP, A2A).
Benefits
Comp & perks- Flexible working model
- Employee-led remote model
- Professional development stipend
- Comprehensive health and parental leave plans
- Total above-market compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles)
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
PythonGenerative AILLMsvector databasesprompt engineeringembeddingsRAG systemsweb applicationsbackend APIsdata platform development
Soft Skills
mentoringcollaborationleadershipcommunicationdocumentationsupportengineering excellenceproblem-solvingorganizational skillsadaptability
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer Science
