DA
PRE-SALES ENGINEERING INTERN
dataeko.ai · Hyderabad · onsite · Posted 50d ago
Not disclosed1–3 yrsfulltimeSourced from
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About this role
Contract-to-Hire
Product Engineering & AI
1–3 years
Contract-to-hire → Full-time
AI Engineer
On-site — Hyderabad (5-day week) Contract-to-Hire Contract-to-hire → Full-time
Reporting to: Leadership teamCompensation: ₹4–7 LPA fixed + performance-linked variable
Build AI-native internal applications for Dataeko—from a lightweight CRM and HRMS to adjacent operational tools—then progressively contribute the same disciplined approach to client-facing AI-native solutions.
Apply via [HIDDEN TEXT]
Share link
https://dataeko.ai/careers#ai-engineer
Responsibilities
Product Engineering & AI
1–3 years
Contract-to-hire → Full-time
AI Engineer
On-site — Hyderabad (5-day week) Contract-to-Hire Contract-to-hire → Full-time
Reporting to: Leadership teamCompensation: ₹4–7 LPA fixed + performance-linked variable
Build AI-native internal applications for Dataeko—from a lightweight CRM and HRMS to adjacent operational tools—then progressively contribute the same disciplined approach to client-facing AI-native solutions.
Apply via [HIDDEN TEXT]
Share link
https://dataeko.ai/careers#ai-engineer
Responsibilities
- Design, build, and ship internal applications (CRM, HRMS, and related tools) end to end using AI-native development platforms
- Contribute to AI-native solutions built for Dataeko's clients as the product and delivery capability grows
- Make clear, defensible build-vs-buy calls on when to extend Dataeko's own stack versus integrate a third-party tool
- Design for operational resilience with graceful failure handling, role-based access, data integrity, and audit trails
- Use AI coding tools such as Replit, Emergent, Claude, and ChatGPT-class copilots as genuine force multipliers while owning everything that ships
- Maintain lightweight technical documentation and handoff practices so systems do not become single-person dependencies
- Work directly with the leadership team to translate operational and business priorities into shipped software through fast, low-ceremony feedback loops
- 1–3 years of experience building and shipping applications end to end, solo or in small teams; a portfolio or demonstrable work is essential
- Hands-on experience using AI-assisted or AI-native development tools (such as Replit, Emergent, Cursor, Lovable, Bolt, or Claude Code) to build real products
- Comfort owning the full stack: frontend, backend, data modelling, access control, and deployment
- Judgement to prioritise scoped, working software over sprawling, half-built platforms
- Strong ownership instincts and comfort being accountable for a system's reliability
- Experience building internal tools for recruitment, HR operations, finance/procurement, or CRM-type systems
- Exposure to client-facing delivery or building products for external customers
- Experience in a lean or startup environment with multiple areas of responsibility
- ₹4–7 LPA fixed compensation, plus a performance-linked variable component
- Direct exposure to Dataeko's leadership and outsized ownership from day one
- A growth path from internal systems to client-facing AI-native solutions
- A builder's seat at a company that puts its data-and-AI modernisation approach into practice internally
Sourced from foundit
Skills
AI-native Development PlatformsChatGPT-class copilotsclaudeaccess controlData modellingdeploymentReplitEmergent