Forward Deployed Engineers

4 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Us

We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services. 

As we expand our customer base, we are building a world-class forward-deployed engineering team that works directly with customers to implement, integrate, and operationalize our platform in complex enterprise environments.


Role Overview

Forward-Deployed Integration Engineer


Key ResponsibilitiesCustomer-Facing Engineering

  • Work directly with enterprise customers to deploy and configure our platform in their production environments.
  • Serve as the hands-on technical expert during onboarding, integration, and expansion phases.
  • Troubleshoot issues in real time, owning them through resolution.

Integration & Implementation

  • Integrate our platform with customer systems, APIs, data sources, authentication frameworks, and enterprise workflows.
  • Implement custom scripts, connectors, or extensions in Python where needed.
  • Configure Azure-based deployments and assist customers with best practices.

Product & Platform Contribution

  • Gather customer feedback and translate real-world use cases into actionable product insights.
  • Collaborate with internal engineering to reproduce issues, validate fixes, and enhance stability.
  • Contribute improvements to deployment tooling, automation, and documentation.

Operational Ownership

  • Develop playbooks, checklists, migration guides, and integration best practices.
  • Help establish repeatable, scalable processes for future deployments as we grow.
  • Assist sales and customer success teams in technical scoping and feasibility analysis.


QualificationsExperience

  • 4+ years

    in software engineering, solutions engineering, implementation engineering, or forward-deployed roles.
  • Experience working directly with enterprise customers in technical engagements.
  • Hands-on experience deploying or integrating systems on a major cloud provider, ideally

    Azure.

  • Strong Python experience in production contexts.

  • Experience working in fast-paced startup or high-growth environments is a plus.

Education

  • Bachelor’s or Master’s in Computer Science

Technical Skills

  • Strong proficiency in

    Python

    .
  • Familiarity with

    Azure services

    .
  • Experience integrating software with enterprise systems, APIs, or identity providers.
  • Solid understanding of cloud deployment models, security constraints, and operational best practices.
  • Strong debugging skills, including logs, traces, and distributed troubleshooting.

Soft Skills

  • Excellent communication skills, especially with technical and non-technical stakeholders.
  • Analytical mindset with a strong focus on problem-solving.
  • Comfortable working in a fast-paced, dynamic startup culture.
  • Customer-obsessed mindset with a strong sense of ownership.
  • Highly collaborative, resourceful, and comfortable navigating ambiguity.

Benefits

  • Competitive Compensation

    : Tailored to your experience and skill set.
  • Career Growth

    : Opportunities for professional development and leadership roles.
  • Innovative Culture:

    Work at the frontier where real customer problems meet cutting-edge technology.
  • Impact & Ownership:

    Join early and help shape how we deploy to enterprise customers.


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