Forward Deployed Engineer/Senior Software Engineer
DEVX LABS PTE. LTD.
As a Forward Deployed Engineer, you sit at the edge where DevX meets the client. You ship production code, embed directly with client teams, and turn ambiguous business problems into working AI-native software. This is a builder's role: most of your time is spent writing and shipping code, with the rest spent understanding client needs, demoing what you've built, and unblocking the path to delivery.
You're not architecting the whole platform yet—that's your Tech Lead's job—but you own meaningful features end to end, work close to the customer, and move fast with AI tooling. If you like seeing your code in front of real users within days and thrive on direct client contact, this is for you.
What You'll OwnHands-On Development (70%)
Build and ship full-stack features end to end—frontend, backend, and the glue in between
Implement AI integrations and workflows using Claude, OpenAI, and LangChain
Develop POCs and demos quickly to validate ideas with clients
Debug issues across the stack and fix production bugs
Write clean, tested, reviewable code and act on code-review feedback
Use AI tools (Claude Code, Cursor) as your default way of working to ship faster
Forward Deployment & Client Work (30%)
Embed with client teams to understand their workflows, data, and constraints
Translate client requirements into concrete tickets and working software
Demo your work directly to client stakeholders and gather feedback
Surface blockers and risks early to your Tech Lead
Document what you build so clients and teammates can pick it up
First 30 Days:
Ramp on an active client project and ship your first feature to production
Get comfortable with the team's AI-first workflow and toolchain
Build a working relationship with at least one client-side contact
First Year:
Consistently deliver features on time with minimal rework
Own a recurring workstream on a client engagement with growing autonomy
Operate at 70%+ AI-assisted development
Become a go-to engineer client stakeholders trust to get things done
Technical Foundation:
1+ years of full-stack development experience
Strong in the JavaScript/TypeScript ecosystem: Node.js, Next.js, React
Comfortable building RESTful APIs; exposure to GraphQL and serverless (AWS Lambda, Cloud Functions)
Frontend: React, Next.js, responsive design, state management
Working knowledge of one cloud provider (AWS or GCP)
Databases: PostgreSQL or MongoDB; familiarity with Redis a plus
Basics of Docker and CI/CD
AI-Native Development (Non-Negotiable):
Actively using Claude Code, Cursor, or similar in your day-to-day development
Have integrated, or are eager to integrate, LLMs into applications (Anthropic, OpenAI, LangChain)
AI-first mindset: reach for AI before writing boilerplate from scratch
Client & Communication:
Comfortable talking directly with clients and explaining your work clearly
Can take a loosely defined problem and turn it into shippable software
Write clear updates, basic specs, and documentation
Comfortable with ambiguity and changing requirements
Frontend: React, Next.js, TypeScript, TailwindCSS
Backend: Node.js, Express, NestJS, serverless functions
Databases: PostgreSQL, MongoDB, Redis
Cloud: AWS (Lambda, S3, RDS, API Gateway), GCP
AI Integration: Anthropic Claude, OpenAI, LangChain, vector databases
DevOps: Docker, GitHub Actions
Tools: Claude Code, Cursor, Git, Figma
Shipped a project from 0 to production with real ownership
Experience with e-commerce platforms (Shopify, Medusa, custom)
Built an AI-powered feature in a real application
Open-source contributions or technical writing
Exposure to Frappe/ERPNext or similar ERP systems
Genuine interest in working close to customers, not just behind a ticket queue
AI-First Environment:
AI tool credits—use what delivers value
Freedom to choose technologies and patterns that work
Direct impact on what clients see and use
Work Culture:
No leave policy (trust-based, own your delivery)
No rigid 9-5—we care about outcomes, not hours
Hybrid flexibility with Surat HQ collaboration
Challenge conventional approaches, propose better solutions
Growth & Perks:
Yearly outings, monthly lunches
Clear path: Forward Deployed Engineer → Tech Lead
Direct mentorship from senior engineers and Tech Leads
Real client exposure from day one
Competitive compensation (we hire the best, pay accordingly)
Not actively using AI tools in development today
Want to code in isolation and avoid client contact
Need explicit instructions for every decision
Uncomfortable demoing your own work to stakeholders
“That's QA's job” or “That's DevOps' job” mentality