DevRev Logo

DevRev

Senior Technical Specialist, AI Solutions : Delhi

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Own enterprise AI engagements from discovery through production deployment. Design, build, integrate, debug, evaluate, and harden agentic systems using LLMs, RAG, tool calling, workflows, and guardrails. Lead technical workshops, proofs of concept, solution scoping, and executive ROI discussions. Measure adoption, containment, accuracy, and cost outcomes; create reusable delivery assets; enable partners; and provide product feedback. The role is customer-embedded and requires sustained on-site presence during engagements.
The summary above was generated by AI

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.

DevRev Chennai, Tamil Nadu, IND Office

Chennai, India

Similar Jobs

29 Minutes Ago
Remote or Hybrid
India
Mid level
Mid level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides systems safety engineering for aircraft turbine engines and auxiliary power systems. Conducts hazard and safety analyses, develops safety requirements and documentation, supports FAA and EASA compliance, performs reliability analysis, and reviews designs. Collaborates across engineering teams on risk mitigation, corrective actions, and aftermarket safety metrics. The role also supports process standardization, automation, AI application, technical coaching, innovation, and strategies to reduce certification cycle time and cost.
Top Skills: Artificial IntelligenceDoorsDoors NgModel-Based Systems Engineering
29 Minutes Ago
Remote or Hybrid
India
Expert/Leader
Expert/Leader
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads embedded software and firmware development for processor simulators and emulators, including requirements, architecture, design, coding, qualification, and technical support. Develops QEMU and KVM-based tools, ports Linux or RTOS to SoCs, and works with ARM architectures and low-level hardware interfaces. Owns simulator strategy, roadmaps, issue resolution, design decisions, stakeholder collaboration, process improvement, and team mentoring while driving innovation and competitive product development.
Top Skills: ArmAssemblyBitbucketCC++Do-178B/CDo-330DoorsEclipseEthernetGdbGpioKvmLauterbachLinuxMpsocPciQemuRtosSocSvnTrace32Visual Studio
An Hour Ago
Remote or Hybrid
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads reactive and proactive incident response engagements across India and APAC. Performs advanced host and network forensics on Windows, macOS, and Linux; advises customers during security incidents; develops remediation plans; presents findings to technical and executive audiences; and mentors junior team members. The role also involves threat intelligence, adversary attribution, thought leadership, and applying AI technologies to improve workflows and decision-making.
Top Skills: Artificial IntelligenceComputer Forensics ToolsLinuxmacOSNetwork Analysis ToolsNetwork ProtocolsWindows

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account