Senior Forward Deployed Engineer

Revrag Ai; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

RevRag AI in Bengaluru is seeking a Senior Forward Deployed Engineer to own high-visibility BFSI deployments, serve as the technical lead for key accounts, and drive voice and in-app AI agents to live production with measurable impact.

The role is hands-on and customer-facing, requiring you to architect solutions, optimize prompts, build integrations, evaluate performance, and mentor other engineers while collaborating with founders, product, and core engineering.

Qualifications

• 4–5+ years building and shipping production software with customer-facing deployments.
• Proven track record delivering complex projects to production and business outcomes.
• Hands-on experience with LLMs/GenAI in production (agents, RAG, tool calling, evaluations).
• Experience with enterprise BFSI or regulated domains.

Responsibilities

• Own the most complex customer deployments end to end, often across multiple accounts.
• Architect and build agent solutions: design prompts, configure tools, and integrate with client systems.
• Own prompt engineering for Voice and In-App AI Agents, including multilingual handling.
• Lead technical integrations via APIs, SDKs, and telephony, ensuring latency and reliability.
• Be the primary technical owner for BFSI stakeholders, leading solution sessions and demos.
• Define prompting standards and playbooks, review peers to raise delivery quality.
• Mentor mid-level and junior engineers; travel to client sites as needed.

Skills

Python

LLM/GenAI

Prompt engineering

LLMOps

APIs & SDKs

Cloud (AWS)

Communication with stakeholders

Job description

About the role

Were 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.

Youll 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. Youll be the technical face of RevRag AI in front of senior enterprise stakeholders.

Youll set the prompting and deployment standards the team runs on, mentor other engineers, and work closely with founders, product, and core engineering to shape the platform.

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 clients 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.

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 and 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 Were Looking For

Youre 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 theres no playbook, and create the playbook others follow.
• Care deeply about customer success and business impact.

Success in This Role

Youll 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.

Bonus Points

Experience with any of the following will be highly valued:

• Production Voice AI systems
• LiveKit Agents
• Pipecat
• WebRTC
• Telephony integrations
• Building and scaling agent evaluation frameworks
• Fine-tuning using LoRA or QLoRA
• Indian language and multilingual conversational systems
• BFSI, fintech, or insurtech domain experience
• Leading customer deployments or mentoring engineers

About RevRag AI

RevRag AI is a Bengaluru-based deep-tech startup building production-grade Voice AI and LLM-powered automation for customer-facing workflows. Our multilingual, in-app AI agents plug directly into BFSI journeys, improving digital onboarding, sales, and support while cutting operational cost by up to 70%.

We work with leading BFSI organisations including Mahindra Finance, Motilal Oswal, PayTM Insurance, PhonePe, KreditBee, Razorpay, Udaan Capital, Kissht, PolicyBazaar, InsuranceDekho, Open Capital, and EaseBuzz.

Contact

US Office

8 The Green Dover,
DE 19901, USA

India Office

HSR Layout, Bengaluru,
Karnataka 560102

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