About Solwer
Solwer is DENSO's technology venture in India, building the digital infrastructure for India's automotive aftermarket. Our products — vehicle inspection (VDI), aftermarket super app, transport and warehouse management (TWM), and fleet management — are live with Toyota Kirloskar Motor, TFS, Uber Black, and 150+ dealers. We are building the systems that let us scale without scaling headcount.
What This Role Is
We are hiring an engineer to automate Solwer's go-to-market engine. Today, our dealer acquisition, content production, lead qualification, and inspection report generation are largely manual. Your job is to change that — using LLMs, agents, APIs, and workflow automation to build systems that handle the repetitive, time-consuming, and data-heavy parts of our GTM process, so the sales team spends time closing deals rather than doing research and outreach.
This is a builder role. You will write code, ship tools, and measure whether they work. You will not own sales targets or manage pipelines. You will build the systems that make the sales team more effective.
What You Will Build
● Automated dealer prospecting pipeline — 2,000+ target dealers enriched with contact info and outreach history
● WhatsApp outreach automation — personalized sequences for dealer acquisition and car owner engagement via WhatsApp Business API
● AI inspection report generator — inspector inputs structured checklist → system generates consumer-friendly vehicle health report in Hindi and English
● SEO/AEO content engine — 4 articles per week on vehicle inspection, ELV compliance, TWM ROI, auto-generated and human-reviewed before publish
● Pre-call brief tool — given a prospect name, auto-generate a 1-page research brief before every enterprise sales call
● WhatsApp conversational agent — handles car owner inspection booking end-to-end without human involvement
● CRM integration — WhatsApp conversations auto-summarized and pushed to deal records
● Weekly GTM performance report — auto-generated from CRM data, delivered to leadership every Monday
Technical Skills
MUST HAVE
● Python — production-quality code, not just notebooks
● LLM APIs: Copilot(OpenAI, Anthropic), or Gemini — prompt engineering, context management, cost control
● WhatsApp Business API (Meta Cloud API or Twilio)
● Web scraping: Playwright, BeautifulSoup, or Scrapy
● REST APIs and webhooks — building and integrating them
● RAG (Retrieval Augmented Generation)
● Agentic frameworks: Copilot studio/co-work), LangChain, LlamaIndex, CrewAI, or equivalent
● Relational database: PostgreSQL or equivalent
GOOD TO HAVE
● TypeScript / Node.js
● Vector databases — Pinecone, Weaviate, or Chroma
● Workflow automation tools — n8n or Make
● CRM API integration — HubSpot, Zoho, or Salesforce
● ONDC API
NOT REQUIRED
● Model training — PyTorch, TensorFlow
● MLOps or model deployment infrastructure
● Computer vision or deep learning
● Data science or statistical analysis
What We Are Looking For
● 2–4 years of engineering experience, with at least 1 year building AI applications using LLM APIs — shipped and in production, not just experimented
● A portfolio of things used by real people, not just demos
● Comfortable working in ambiguity: we show you the manual process, you figure out how to automate it
● Able to talk to a sales rep, understand their actual workflow, and build something they will use
● Cares whether your automation increases qualified leads, not just whether the code runs
What This Role Is Not
● You will not own sales targets or be measured on revenue
● You will not do marketing strategy — you build the engine that executes it
● You will not train foundation models or do ML research
● You will not manage other engineers in Year 1
Reporting
● Reports to: Product / Technology Lead
● Works closely with: Inside sales team, Marketing, CEO
First-Year Outcomes
● WhatsApp agent handling 50%+ of car owner inspection bookings without human involvement
● Content engine producing 4 articles per week, driving measurable organic traffic increase
● Dealer prospecting pipeline reducing rep outreach preparation time by 70%
● AI inspection report cutting report preparation time by 60%
● CRM data quality measurably improved — deal stages current, activity auto-logged
● Weekly GTM report auto-delivered — zero manual preparation