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Salary
$28k – $68k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is a Belgian recruitment platform built entirely around remote and flexible work, aggregating openings from thousands of employers that allow work from outside an office. Its matching engine ranks roles against a candidate's skills, seniority and stated preferences on location and flexibility, rather than leaving people to filter a keyword search, and it verifies how genuinely remote each posting is. The company also runs an AI screening layer that shortlists applicants for employers, and publishes research and guidance on distributed work practices alongside the job marketplace itself.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer based in India.

As a Forward Deployed Engineer, you will bridge business needs and advanced AI engineering to deliver production-ready solutions for enterprise customers. You’ll partner with Sales, Engineering, Product, Research, Security, and other cross-functional teams to identify high-value opportunities and turn them into scalable deployments. The role combines consulting, solution architecture, hands-on software development, and customer engagement. You’ll take complex workflows from discovery and prototyping through production adoption and optimization. More than 60% of your work will involve coding, agent development, and deployment. Your impact will be measured through adoption, measurable workflow improvements, and feedback that influences future products and models. This is an opportunity to shape how enterprises adopt agentic AI in a fast-moving, highly collaborative environment.

Accountabilities

    • Identify opportunities across go-to-market teams to introduce and scale agentic solutions, intelligent automation, complex data models, and AI-powered workflows.
    • Map customer and sales journeys end-to-end, identifying gaps, bottlenecks, and opportunities to improve productivity through AI and automation.
    • Lead technical delivery across multiple customer deployments, taking solutions from discovery and prototyping through stable production environments.
    • Design, architect, build, demonstrate, and deploy fit-for-purpose full-stack and agentic solutions based on customer requirements and business objectives.
    • Own technical scoping, delivery sequencing, prioritization, and risk management while balancing scope, speed, quality, and customer experience.
    • Work closely with account teams and stakeholders to understand requirements, guide adoption, remove blockers, and ensure successful implementation.
    • Develop production-grade software and AI agents, with more than 60% of the role focused on hands-on coding, agent development, and deployment.
    • Create proof-of-concept environments and compelling demonstrations that translate complex technical capabilities into tangible business value.
    • Convert successful approaches into reusable tools, playbooks, frameworks, and building blocks that can accelerate future deployments.
    • Provide actionable field feedback to Product and Research teams on model performance, customer needs, and opportunities for product or roadmap improvements.
    • Engage confidently with technical and business stakeholders, including senior leaders and CXOs, acting as a trusted technical consultant throughout the customer lifecycle.
    • Collaborate with Product, Research, Partnerships, GRC, Security, and GTM teams to maintain alignment and deliver end-to-end customer outcomes.
    • Stay informed about emerging AI, cloud, and agentic technologies and help teams evaluate their practical applications.
    • Maintain clear communication, strong follow-through, and proactive risk management throughout delivery.
    • Requirements

      • 7+ years of engineering or technical deployment experience, including meaningful customer-facing or internal stakeholder-facing responsibilities.
      • 5+ years of professional experience working with Google Cloud Platform (GCP), Azure, or AWS, with GCP strongly preferred.
      • Professional-level GCP certification is required; FDE-related training or certification is an advantage.
      • Demonstrated experience strategizing, designing, architecting, and leading the deployment of scalable cloud solutions, preferably on GCP.
      • Strong production-grade software engineering skills across frontend and backend development using Python, JavaScript, or comparable technologies.
      • Hands-on experience building or deploying systems powered by large language models (LLMs) or generative AI, with an understanding of how model behavior affects product and user experience.
      • Ability to take ambiguous, complex problems and turn them into practical, scalable solutions within fast-moving environments and tight deadlines.
      • Strong architectural thinking, full-stack technical judgment, and the ability to make informed trade-offs between business objectives and technical constraints.
      • Excellent communication and stakeholder management skills, with the confidence to work effectively across engineering, product, sales, and executive audiences.
      • Strong consulting mindset, with the ability to understand business workflows and connect technology solutions to measurable outcomes.
      • Proven ability to identify opportunities proactively, challenge assumptions constructively, and drive initiatives independently from concept through completion.
      • Strong foresight, risk-management capabilities, and the ability to adapt solutions in real time without compromising customer experience.
      • Ability to work collaboratively in a team-oriented environment while maintaining a high degree of ownership and accountability.
      • Benefits

        • Remote work opportunity based in India.
        • High-impact role working at the intersection of enterprise technology, cloud, generative AI, and agentic solutions.
        • Significant hands-on engineering ownership, with the majority of the role focused on coding, AI agent development, and deployment.
        • Opportunity to work directly with enterprise customers and senior decision-makers, including CXO-level stakeholders.
        • Exposure to cross-functional teams spanning Engineering, Product, Research, Security, Partnerships, GRC, and Go-to-Market.
        • Opportunities to influence product and model roadmaps through direct customer and field feedback.
        • Professional growth through complex technical deployments, consulting engagements, and emerging AI technologies.
        • Collaborative environment focused on innovation, shared ownership, and continuous learning.
        • Visa sponsorship or transfer is not available for this position at this time.
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