Forward Deployed Engineer

At realfast, we're building the future of enterprise AI—not by replacing humans, but by amplifying what makes them exceptional. Founded by proven operators with decades of scaling experience, we're solving the "last mile problem" in enterprise AI: the gap between impressive demos and production deployment. Our AI agents work alongside Salesforce developers to eliminate tedious work like unit testing and configuration management, freeing them to focus on architecture, strategy, and the human interactions that drive real business value.

We're backed by PeakXV Partners (formerly Sequoia India and SEA) and RTP Global, and we're building AI that makes humans more human, not obsolete. If you're excited about building production-grade AI that delivers measurable results and want to be part of transforming how enterprise software gets built, we'd love to meet you.

Here's what we're looking for - A client-facing engineer who doesn't just build pipelines in isolation – you architect solutions that solve real business problems while standing in front of C-suite executives explaining why your approach will transform their operations.

You'll lead technical implementations on-site with enterprise clients, turning complex challenges into elegant solutions that deliver measurable ROI. This isn't about perfect code – it's about building demos that close deals and production systems that keep customers happy.

• Lead technical discovery sessions with client stakeholders, translating their pain points into actionable solutions

• Work directly with prospects during the sales process to prove technical feasibility

• Manage complex implementations from initial POC through production deployment

• Present technical solutions to executive teams and make the complex simple

• Build compelling POCs and demos that showcase what's possible with enterprise data at scale

• Design AI/ML workflows that automate business processes customers actually care about

• Architect end-to-end data pipelines using Salesforce Data Cloud, MuleSoft (good to have) and whatever integration tools get the job done

• 3-5 years of enterprise data engineering with proven client-facing implementation experience

• Self-starter mentality with the ability to lead implementations in ambiguous client environments

• Worked with stakeholders across multiple data and engineering problems

• Strong Python and SQL skills with the ability to build robust data pipelines

• Experience integrating AI/ML capabilities into automated business workflows

• Excellent communication skills – you can explain complex technical concepts to non-technical executives

• Track record of building technical demos and POCs that help close enterprise deals

• Expert-level platform skills – Salesforce Data Cloud, APIs, Service Cloud, and case management systems (Good to have)
  

• You love the thrill of presenting technical solutions to skeptical executives and winning them over

• You're energized by client-facing work and building relationships with technical and business stakeholders

• You can balance building robust production systems with creating quick, impressive demos

• You want to see the direct impact of your technical work on business outcomes

• You thrive in dynamic environments where requirements change based on client feedback

• You prefer building systems in isolation without client interaction or presentations

• You need detailed specifications before you can start architecting solutions

• You're uncomfortable with the ambiguity that comes with enterprise client implementations

• You want to focus purely on technical work without business or sales involvement

• You prefer working on long-term projects rather than rapid POC development and iteration

Recruitment process & guidelines

Please follow the instructions carefully to increase your chances of successfully interviewing for this position. While we understand that it's difficult for one's experience to match 100% of the role requirements, we want you to understand the role requirements well and apply only if you have a good chance of doing well on the job.

• Application: Read this JD well and fill your application here by explaining the following questions

• AI Pairing Round

• Post screening there will be 2 rounds.

Additional details
Work mode: Hybrid, mostly remote with flexibility when required
Travel: Nil to minimal

Know more about
Yourstory: How is helping IT services industry cut delivery times
aim: This AI Startup is an Iron Man Suit for the IT Guys