Salary
≈ $28k – $74k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 3+ years exp
First seen by Alion on Aug 20, 2026.
Overview
Company
Impact
Profile match
KnackLabs is an AI transformation company that builds AI automation platforms and production-grade AI agents to automate business operations and deliver secure, enterprise-ready AI solutions.
As a Forward-Deployed Engineer at KnackLabs.ai, you will sit at the intersection of engineering and customer success. You'll embed directly with customer teams to understand their workflows, rapidly prototype and ship solutions using our platform, and turn those learnings into product improvements. This role is ideal for engineers who want high ownership, fast feedback loops, and direct exposure to how their code changes a customer's business.
Responsibilities:
- Customer embedding: Work directly with customers to understand their business processes, pain points, and technical environments.
- Solution building: Design, build, and deploy custom integrations, workflows, and applications on top of the KnackLabs.ai platform.
- Product feedback loop: Turn one-off customer builds into reusable, generalizable features by working closely with the core product and engineering teams.
- Rapid prototyping: Write production-quality code under real deadlines, balancing speed with maintainability.
- Technical troubleshooting: Debug issues across the stack, from data pipelines to APIs to front-end integrations, in live customer environments.
- Ongoing ownership: Own the technical relationship with select customers post-deployment, ensuring solutions remain stable and scale with their needs.
- Travel: Travel to customer sites as needed, expected occasionally and varying by account.
Requirements:
- Three or more years of professional software engineering experience, ideally including customer-facing or implementation work.
- Strong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full stack.
- Experience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).
- Proven experience building and deploying AI-driven solutions within enterprise application ecosystems, including ERP integrations, workflow automation pipelines, and end-to-end product development, with a track record of hands-on stakeholder engagement across technical and business teams.
- Demonstrated ability to work independently in ambiguous, fast-changing environments.
- Strong communication skills. You can explain technical trade-offs clearly to both engineers and non-technical stakeholders.
- A bias toward action. You are comfortable shipping a working solution today rather than a perfect one next month.
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