Geektrust
Website:
geektrust.com
Job details:
About the Role
We're looking for a Senior Forward Deployed Engineer to own our most complex, high-visibility
customer deployments and act as the technical lead for key BFSI accounts, taking our Voice
and In-App AI Agents from kickoff to live production and measurable business impact.
This is a hands-on, customer-facing senior engineering role, not a research or purely advisory
one.
You'll architect the solution, write and optimise the production prompts and conversation
design, build the integrations, run evaluations, and drive each deployment to go-live, often
across multiple accounts in parallel. You'll be the technical face of Revrag AI in front of senior
enterprise stakeholders.
Key Responsibilities
- Own the most complex, high-visibility customer deployments end-to-end, from scoping
- and solution design through integration, go-live, and measurable business impact, often
- across multiple accounts in parallel.
- Architect and build the agent solution: design conversation flows, configure tools and
- guardrails, and integrate with the client's systems for each use case.
- Own prompt engineering for Voice and In-App AI Agents: write, iterate, and systematically
- optimise production prompts and conversation design, including multilingual and
- edge-case handling, driven by evaluation frameworks.
- Lead technical integration with customer systems via APIs, SDKs, and telephony, and own
- reliability, latency, and quality in production.
- Be the primary technical owner and trusted advisor for enterprise BFSI stakeholders,
- running solutioning sessions, demos, and workshops.
- Define prompting standards, deployment playbooks, and best practices, and review other
- engineers' work to raise the delivery bar.
- Partner with product and engineering to turn recurring field learnings into platform
- capabilities, and influence the roadmap.
- Mentor mid-level and junior Forward Deployed Engineers.
- May occasionally travel to or work from client sites to support deployments, represent Revrag
- AI on-site with the customer, and help ensure smooth operations.
Required Qualifications
Experience
- 4-5+ years building and shipping production software, with meaningful time in
- customer-facing, forward-deployed, or solutions engineering roles.
- Proven track record of independently owning and delivering complex technical projects to
- production and to business outcomes.
- Hands-on experience building with LLMs / GenAI in production (agents, RAG, tool calling,
- evaluations).
- Experience working with enterprise customers, ideally in BFSI, fintech, or another regulated
- domain.
Technical Skills
- Strong Python and software engineering fundamentals, clean, maintainable, well-tested
- code.
- Strong prompt engineering and conversation design for LLM agents: system prompts, tool
- use, structured outputs, guardrails, and evaluation-driven iteration.
- Deep understanding of LLM application development and LLMOps.
- Strong grasp of APIs, webhooks, SDK integration, asynchronous processing, and backend
- architecture.
- Experience on cloud platforms (AWS preferred), with comfort debugging latency, reliability,
- and production observability.
- Excellent communication, able to lead customer conversations, demos, and technical
- workshops with senior stakeholders.
What We're Looking For
You're a great fit if you:
- Have independently taken complex systems from ambiguity to production and owned the
- outcome.
- Are as comfortable writing and debugging prompts and agent logic as integrating backend
- systems.
- Set a high bar for quality and can raise it for others.
- Communicate with credibility in front of senior enterprise stakeholders.
- Thrive where there's no playbook, and create the playbook others follow.
- Care deeply about customer success and business impact.
Success in This Role
You'll be successful if you:
- Take flagship BFSI deployments live faster and with higher quality, driving measurable
- accuracy, latency, and conversion gains.
- Become the trusted technical partner for key accounts.
- Define the prompting and deployment standards the Forward Deployed Engineering team
- runs on.
- Turn field learnings into platform improvements.
- Level up the team through mentorship and reviews.
Click on Apply to know more.
_1548133325694.png){kind=logo}
