About SquadStack :
At SquadStack, we're rebuilding the contact center for the AI era.
Our platform fuses AI agents with human expertise to run every customer conversation flawlessly - boosting conversions, elevating customer experiences, and sealing every revenue leak for leading consumer brands.
Backed by 190 crores and driven by 200+ passionate teammates, we're charging into a new phase of hyper growth.
We believe that longer-term, people product & profits, and prioritize culture over everything else.
We are looking for individuals with the right mix of hunger, passion, and cultural-fit to join us in this journey.
If you're excited by this, come build SquadStack with us :
About the role :
- As a Deployment Engineer you'll work on delivering world class Voice AI Agents for our customers.
- You will work in AI-native teams & will be expected to move at the speed of thought.
- You'll leverage SquadStack platform to configure, fine-tune & architect state of the art AI Agents.
- You will act as a conduit between product, customer success & engineering teams.
- You'll work very closely with customers to make AI Agents a BIG success for them.
What you'll be doing :
Partner with sales to engage clients to gather requirements, rapidly prototype demos, and present system designs.Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks.Own full life cycle of building agents.Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g CRMs, ERPs, scheduling tools)Travel & work from customer office to fastrack AI Agent deployments.Act as a technical conduit between customers needs & SquadStack platformCodify reusable patterns into tools or platform components.Translate field feedback into actionable product and GTM recommendations.Develop runbooks, code templates, and training sessions for customer facing teams, ensuring self-sufficiency post-handoff.Requirements :
AI-native mindsetStrong demand side thinker (JTBD) with product taste.You are not merely implementation focussed.Bachelor's degree in engineering or a related field2-4 years of experience in software development & AI applications.Strong hold over at least one programming language.Solid understanding of prompt engineering patternsStrong communication and presentation skills.Ability to understand and communicate technical concepts to both technical and non-technical audienceComfortable working fullstack.Self-starter with the ability to work independently and as part of a teamYou possess a T-shaped breadth and depth skill set required to dive deep into any subject and coordinate between Sales, Customer Success, Operations, Product and Engineering to figure out solutions.Familiarity with the relevant domains would be a plus (AI Agents, RAGs, Python, data security etc.(ref : hirist.tech)