{"id":65323,"url":"https://alion.io/job/knacklabs-forward-deployed-engineer-fullstack","title":"Forward Deployed Engineer - Fullstack","company":{"id":4095,"name":"KnackLabs","domain":"knacklabs.ai","url":"https://alion.io/company/knacklabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":74000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":753},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Node JS","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-20T09:43:44Z","employer_posted_date":null,"last_verified_at":"2026-08-20T09:43:44Z","board_verified":false,"closed_at":null,"days_open":58,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":58},"description":"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.\nResponsibilities:\nCustomer embedding: Work directly with customers to understand their business processes, pain points, and technical environments.\nSolution building: Design, build, and deploy custom integrations, workflows, and applications on top of the KnackLabs.ai platform.\nProduct feedback loop: Turn one-off customer builds into reusable, generalizable features by working closely with the core product and engineering teams.\nRapid prototyping: Write production-quality code under real deadlines, balancing speed with maintainability.\nTechnical troubleshooting: Debug issues across the stack, from data pipelines to APIs to front-end integrations, in live customer environments.\nOngoing ownership: Own the technical relationship with select customers post-deployment, ensuring solutions remain stable and scale with their needs.\nTravel: Travel to customer sites as needed, expected occasionally and varying by account.\nRequirements:\nThree or more years of professional software engineering experience, ideally including customer-facing or implementation work.\nStrong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full stack.\nExperience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).\nProven 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.\nDemonstrated ability to work independently in ambiguous, fast-changing environments.\nStrong communication skills. You can explain technical trade-offs clearly to both engineers and non-technical stakeholders.\nA bias toward action. 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