Senior Technical Specialist, AI Solutions : Delhi

DevRev; Delhi; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

DevRev Inc. is seeking a senior solutions engineer to own enterprise engagements end to end, from discovery through production deployment of agentic AI systems inside the customer's environment.

You will translate messy real-world workflows into deterministic AI agents on the DevRev platform, collaborating with customer engineering, operations, and executive teams to demonstrate business impact with measurable ROI.

Qualifications

• 8-10 years in customer-facing technical roles in B2B SaaS or enterprise software.
• Hands-on experience building LLM-based systems in production: agent orchestration, prompt engineering, evaluation.
• Strong engineering fundamentals: Python/JavaScript, REST APIs, SQL, data handling.
• Discovery and solutioning with ROI framing for stakeholders.
• Executive-level communication: articulate ROI to CXO.
• Comfort in ambiguity with ownership and accountability.

Responsibilities

• Lead technical discovery: map customer workflows and failure modes; identify measurable business impact.
• Build and deliver PoCs on live customer data and systems.
• Translate problems into agent architectures: orchestration, state management, tool calls.
• Shape SOWs and solution designs with defensible scope and effort estimates.
• Develop production agents on the DevRev platform: instructions, workflows, and integrations.
• Ensure reliability: design evaluation harnesses, debugging agent failures, and production-grade adoption.
• Drive integration work—REST APIs, webhooks, and authentication.
• Report outcomes with adoption, containment, accuracy, and cost metrics.

Skills

LLM-based systems

Python/JavaScript

REST APIs

State management

Executive communication

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

AWS/Azure/GCP

CRM integration

Job description

About DevRev

At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

Role Overview

This is a hybrid role at the intersection of solution design and hands-on delivery. You will own enterprise engagements end to end: run technical discovery, design the solution, then build, deploy, and harden production agentic systems inside the customer's environment. You are the person who designs the agent architecture on the whiteboard on Tuesday and debugs its state machine in production on Thursday. You will work directly with customer engineering, operations, and executive teams—translating messy real-world workflows into deterministic, reliable AI agents on the DevRev platform, and proving business impact with numbers, not slideware. This is not an advisory role. You will be measured on working systems in production and the outcomes they

What You Will Do

Discover & Design

• Lead technical discovery: map customer workflows, systems of record, and failure modes; identify where agentic automation creates measurable economic impact (cost per case, resolution time, deflection).
• Build and deliver PoCs and proofs of value on live customer data and systems - not canned environments.
• Translate business problems into agent architectures: orchestration design, state management, tool/skill decomposition, guardrails, and escalation paths.
• Shape SOWs, solution designs, and delivery plans with defensible technical scope and effort estimates.

Build & Deploy

• Implement production agents on the DevRev platform: agent instructions, deterministic workflows, skills, and integrations with enterprise systems (CRM, ERP, payments, core operational APIs).
• Own reliability: design evaluation harnesses, debug agent failures (hallucination, state drift, loops, guardrail leakage), and iterate to production-grade adoption.
• Drive integration work hands-on - REST APIs, webhooks, auth flows, data mapping - in collaboration with Product and Engineering.
• Instrument and report outcomes: adoption, containment, accuracy, and cost metrics that stand up in a QBR.

Scale & Enable

• Convert engagement learnings into reusable assets: reference architectures, playbooks, sandbox environments, and internal tooling.
• Enable partner engineers and integrators to deliver independently; run workshops and bootcamps.
• Feed structured field signal to Product: what breaks, what's missing, what competitors are doing.

What We're Looking For

Must have

• 8-10 years in customer-facing technical roles (forward-deployed / field engineering, solution delivery, technical specialist roles) in B2B SaaS or enterprise software.
• Hands-on experience building LLM-based systems in production: agent orchestration, prompt and context engineering, RAG, tool/function calling, and evaluation. You have shipped something real, with users, and can walk us through its failure modes.
• Strong engineering fundamentals: proficient in Python or JavaScript/TypeScript; fluent with REST APIs, webhooks, and integration patterns; comfortable with SQL and working directly in customer data.
• Strong discovery and solutioning craft: stakeholder workshops, PoCs, and technical scoping with clear effort estimates.
• Executive-grade communication: you can whiteboard an architecture for engineers and frame ROI for a CXO in the same meeting.
• Operates well in ambiguity: unstructured environments, contested stakeholder maps, shifting scope. Bias to ownership.

Strong plus

• Experience with deterministic workflow / state-machine design for AI agents, and with making non-deterministic systems reliable enough for regulated or high-volume operations.
• Production experience in complex enterprise domains: airlines, BFSI, telecom, manufacturing, or similar multi-system environments.
• Familiarity with CRM/CX platforms (Salesforce, Zendesk, ServiceNow), cloud platforms (AWS/Azure/GCP), and modern DevOps tooling.
• Exposure to AI-assisted development workflows (Cursor, Copilot, Claude Code).

Logistics

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• This is a customer-embedded role: you will be based on-site at client locations, working face-to-face with customer teams as the default mode of operation - not remote-first with occasional visits. Expect sustained, full-time presence at the customer’s offices for the duration of each engagement.

How do we work?

Whatever your role, our values describe what we ask of each other.

Be a bridger

Look beyond your own role. Ask questions, share context and help others get unstuck. That may mean bringing the right people together or picking up a problem that doesn’t necessarily fit neatly into your job description.

Care loudly

We want your perspective, not just your agreement. Speak up when something isn’t working or someone needs support. Give honest feedback with respect for the person receiving it. Don’t let an uncomfortable conversation become an unspoken problem.

Own the outcome

Take responsibility for the result, not just your part in the process. Use AI to move the work forward, not to outsource your judgment. Make the call, check whether it worked and change course when it didn’t. If something goes wrong, own it and help fix it.

That’s DevRev!

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.