Sit with enterprise customers, understand what they actually need, and build it. Part engineer, part solutions architect, entirely accountable for the customer going live.
Tech
Full Time
Bangalore (HSR Layout)
Onsite
3+ years
As per previous CTC
About Cheerio AI
Cheerio AI is a profitable, VC-backed AI automation company building intelligent products for large enterprises. We are backed by Artha VC and by operators and founders from Unacademy, Reddit, Elevation Capital and Dr Vaidya’s, and we serve VFS Global, IndusInd Bank, Meta and Hero MotoCorp. Over the last two years our valuation has grown 5X, which makes ESOP ownership here a real path to financial upside rather than a line on an offer letter.
Role overview
Enterprise customers do not buy a product, they buy an outcome. The Forward Deployed Engineer is the person who closes the gap between the two. You sit with the customer, understand the workflow they actually run, and build the integration, automation or configuration that makes Cheerio AI work inside their business.
This is a hybrid role by design. Some weeks you are writing code against a customer’s CRM and telephony stack. Some weeks you are in a room with their operations team mapping a process nobody has documented. You are accountable for the customer going live and staying live.
Key responsibilities
Own technical delivery for named enterprise accounts from kickoff through go-live.
Build integrations against customer systems: CRMs, ticketing tools, telephony, internal APIs and data warehouses.
Design and configure workflows, bots and campaign logic that match how the customer actually operates.
Debug production issues on customer deployments and drive them to resolution with the core engineering team.
Feed real deployment friction back into the product roadmap so the same custom work is not repeated for the next customer.
Run technical conversations with customer engineering and IT teams, including security and data handling reviews.
Our tech stack
AI and orchestration: LangGraph for multi-agent workflows, Anthropic Claude via API as the primary LLM, Claude Code and Antigravity for AI-assisted development.
Search and retrieval: AWS OpenSearch for full-text and semantic search, PGVector for vector similarity inside Postgres.
Backend and infrastructure: Next.js, AWS Lambda, Postgres, Supabase.
Design and prototyping: Lovable for design reference and rapid UI scaffolding.
What we are looking for
3-4 years of engineering experience, with time spent in customer-facing delivery, solutions engineering or professional services.
Strong practical skills in Python or JavaScript and comfort working across unfamiliar APIs and undocumented systems.
Ability to hold a technical conversation with an enterprise IT team and a process conversation with an operations lead on the same day.
Comfort with ambiguity. The requirement is usually discovered, not handed over.
Willingness to travel to customer sites when a deployment needs it.