Join SpaceX as a Forward Deployed Engineer in India, embedding with customer teams to deliver AI solutions and improve workflows.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Lead discovery with the customer
- Design and ship production agents
- Get a first version live in days
- Own production quality
- Build the systems around the model
Must have
- 5+ years of experience in software engineering, machine learning engineering, or data science
- Owned a customer or operator outcome
- Built and owned AI-native workflows or agents in production
Nice to have
- 2+ years in a customer-facing role
- Hands-on depth in several of: agents and tool-calling
- Experience as a forward-deployed, solutions, or platform engineer
AI in the day-to-day
Our teams are building the full Super Intelligence stack, including AI applications and coding-agent workflows.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Forward Deployed Engineer works closely with customer teams to implement and optimize production-grade AI systems tailored to their specific workflows. Proficiency in Python and JavaScript/TypeScript is essential, along with a strong background in software engineering, machine learning, or data science, particularly in customer-facing scenarios. This position is well-suited for experienced engineers who have a track record of delivering impactful solutions and can navigate complex technical environments. The role emphasizes hands-on problem-solving and collaboration with various stakeholders to ensure successful outcomes.
Joblaze insights
- Listed yesterday — first seen on Joblaze November 10, 2026. Last confirmed on Cursor's careers page November 10, 2026.
- This exact title is also open at 1 other location at Cursor: Bengaluru.
- Python appears in 50% of 42 comparable senior ai/ml roles in India; JavaScript appears in 7.1% of 42 comparable senior ai/ml roles in India.
Quick facts
- Is the Forward Deployed Engineer - India role remote?
- No — this is an on-site role in Bengaluru, India.
- How much experience is required?
- At least 5 years of relevant experience for this Forward Deployed Engineer - India role.
- Where is the role based?
- Cursor is hiring for this position in Bengaluru, India.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, JavaScript, Python, TypeScript.
- What seniority level is this role?
- Cursor targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Forward Deployed Engineer - India role at Cursor.
From the original posting
FORWARD DEPLOYED ENGINEER - INDIA
You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXSI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer's auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer's repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar.
RESPONSIBILITIES:
Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics
Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org
Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage
Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs
Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever
Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption
Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results
Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXSI products
BASIC QUALIFICATIONS:
You have 5+ years of experience in software engineering, machine learning engineering, or data science
You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system
You’ve built and owned AI-native workflows or agents in production (using Python, JavaScript/TypeScript), and debugged real production failures (model, tool, data, pipeline, or delivery path)
PREFERRED SKILLS AND EXPERIENCE:
2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders
Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo
Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end
Standard company text repeated across Cursor's postings is omitted here.