Website:
allsec.ai
Job details:
Tech Team Lead
Founding Engineering Hire • Build from the Ground Up
Company: Allsec AI
Location: Chennai (Hybrid)
Website: www.allsec.ai
Engagement Type: Full-Time | Early-Stage Start-up
About Allsec AI
Allsec AI is an AI-native, digital-first, omni-channel CX managed services company. We help enterprises unlock scalable, efficient, and real-time customer experience operations through agentic AI, intelligent workflows, and automation. We are redefining outsourcing by delivering packaged, outcome-led services that eliminate traditional contact Centre inefficiencies.
About This Role
This is a founding engineering hire. You will be joining a pre-revenue, product-stage company with no existing engineering team in place, which means you will be responsible for taking our base demo product and building it into a production-grade platform.
You will work in close collaboration with a US-based Technical Consultant who will provide architectural direction and high-level technical guidance. For day-to-day operations, delivery execution, and team coordination, you will report to the India Operational Head.
As the company scales, you will build and lead a cross-functional team of engineers and own the India engineering operations end to end. If you are looking for a role where every decision you make has direct, visible impact.
Reporting Structure
- Technical guidance, architecture direction, and product vision: US-based Technical Consultant
- Operational reporting, delivery accountability, and day-to-day coordination: India Operational Head
Key Responsibilities
Foundation & Architecture
- Inherit, extend, and scale the existing technology stack (backend, frontend, DevOps, data pipelines, and ML/AI systems) building on a working demo product toward a production-ready platform.
- Establish production-grade engineering standards, tooling, and development processes, taking the codebase from demo quality to enterprise-ready.
- Define and own a scalable architecture for real-time, high-volume CX operations.
Product & Infrastructure
- Own and evolve the existing multi-cloud infrastructure (Digital Ocean, Azure, GCP) improving reliability, scalability, and cost efficiency.
- Extend and optimise existing integrations across multiple LLM providers, STT/TTS systems, AI agents, NLP pipelines, and vector databases.
- Ensure system observability, security, redundancy, and performance from day one.
Team Building
- As the first engineering hire, identify and help recruit subsequent technical team members.
- Mentor and develop engineers as the team scales; enforce best practices and foster technical excellence.
- Contribute actively to hiring decisions and help shape the engineering culture of the organisation.
Collaboration & Stakeholder Management
- Translate technical direction from the US-based Technical Consultant into executable roadmaps.
- Collaborate with CX implementation and QA functions to align technology with delivery operations.
- Actively participate in architectural decisions and long-term technical planning.
Requirements
- 6–10 years of total experience, with at least 1 year in a tech or team lead capacity.
- Deep experience with one or more full-stack frameworks (e.g., Node.js + React, Django + Vue, or equivalent).
- Strong understanding of AI/ML model development and deployment – LLMs, transformers, RAG pipelines.
- Proven experience with cloud platforms (Digital Ocean, Azure, and/or GCP) and infrastructure as code (Terraform/CDK).
- Familiarity with prompt engineering, LangChain, vector databases (Pinecone, FAISS), and LLM APIs.
- Hands-on experience integrating and managing multiple LLM providers (e.g., OpenAI, Anthropic, Gemini) alongside STT and TTS systems in production or near-production environments.
- Experience with CI/CD pipelines, containerisation (Docker/Kubernetes), and scalable microservices.
- Demonstrated ability to operate with autonomy and build things without an established team or process around you.
- Good communication skills — you will primarily interface with a global stakeholder in the US and an operations-focused leader in India.
Nice to Have
- Experience with contact centre platforms, chatbots, or voice AI systems.
- Exposure to MLOps, streaming data platforms, and real-time analytics dashboards.
- Prior start-up or early-stage product experience — particularly experience being the first or only engineer.
- Comfort working across time zones and with distributed teams.
Why Join Allsec AI
- You will be the architect of the technology foundation, i.e., you will take a working demo and turn it into the infrastructure that powers enterprise CX at scale; every architectural decision from here is yours.
- Work on cutting-edge AI/CX technology with global exposure and direct collaboration with the US technical leadership.
- Clear path to leading the India engineering organisation as the company scales.
- Competitive compensation and equity options available for the right candidate.
Contact
If you think this role excites you, please send your resumes to careers@allsec.ai & hr@allsec.ai
Click on Apply to know more.
