Deployed Engineer

Velia multiservices
  • Palo Alto, California
    13 days ago

    Job Description

    Job Description:

    Velia Multiservices is partnering with an ambitious early-stage AI startup to identify a world-class Forward Deployed Engineer who thrives at the intersection of engineering, customer strategy, and AI innovation.

    This is not a traditional Solutions Engineer role.

    You'll work directly with Fortune 500 customers, helping them architect and deploy next-generation AI agents and enterprise search systems using cutting-edge APIs and agent infrastructure. You'll serve as both a hands-on engineer and trusted technical advisor — owning customer engagements from technical discovery through production deployment.

    If you enjoy solving complex technical problems, writing production-grade Python, working closely with enterprise stakeholders, and shaping the future of AI applications, this role is built for you.

    What You'll Do:
    Own the complete technical customer lifecycle — from pre-sales discovery and proof-of-value execution to implementation and scaling in production
    Partner directly with enterprise engineering teams to build AI-powered workflows, agent systems, evaluations, and integrations
    Write production-quality Python code alongside customers to accelerate deployment success
    Lead technical workshops, demos, evaluations, and feasibility sessions with executive stakeholders
    Serve as the bridge between customer feedback and internal product/engineering teams
    Help customers design and optimize their AI stack using advanced search and agent APIs
    Act as a technical advisor to Fortune 500 organizations adopting AI-native infrastructure

    Who We're Looking For:
    2–8 years of experience in Forward Deployed Engineering, Solutions Engineering, Solutions Architecture, or highly customer-facing technical roles
    Experience owning enterprise customer engagements end-to-end
    Strong Python engineering skills with the ability to debug production systems and stack traces confidently
    Hands-on experience with demos, POCs, technical evaluations, and enterprise implementations
    Deep curiosity and practical understanding of AI, LLMs, agents, and modern AI tooling
    Comfortable using tools like Claude Code, Cursor, Codex, or similar AI-assisted development environments
    Exceptional communication skills with executive presence and confidence interacting with C-level stakeholders
    Background from high-caliber engineering organizations is strongly preferred (Snowflake, Databricks, MongoDB, etc.)

    Qualifications:
    Bachelor's degree in Computer Science or equivalent technical discipline preferred
    Proven ability to operate in fast-moving, high-ownership startup environments
    Willingness to travel occasionally for strategic customer engagements Travel 1–2x Monthly.

    Numbers & Facts

    LocationPalo Alto, California

    Skills

    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • C-Level Managementunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Customer Relationsunmatched
    • Customer Support/Serviceunmatched
    • Customer/Client Researchunmatched
    • Debugging Skillsunmatched
    • Engineeringunmatched
    • Feasibility Analysisunmatched
    • Fortune 500 Customersunmatched
    • Machine Toolunmatched
    • MongoDBunmatched
    • Pre-Salesunmatched
    • Problem Solving Skillsunmatched
    • Product Demonstrationunmatched
    • Product Engineeringunmatched
    • Production Systemsunmatched
    • Python Programming/Scripting Languageunmatched
    • Search Agentunmatched
    • Startupunmatched
    • Systems Analysisunmatched
    • Technical Analysisunmatched
    • Technical Leadershipunmatched
    • Technical Writingunmatched
    • Willing to Travelunmatched

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