Location :
Hybrid [Noida] / Remote
Work Experience : 8–15 Years
About Us
is an AI Studio for Business, delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries. We specialize in Machine Learning, Deep Learning, and AI-driven Product Development to create real business impact.
Ready to take a Rocket Leap with Science?
Role Overview
We are seeking a Sr
Technology Lead
who brings strong
full-stack and cloud architecture experience
, with hands-on skills in
React
, and
Python
AI technologies
If you have already led or contributed to an
AI-based project
, that's a plus — but if not, a
strong learning mindset and readiness to experiment
is what we value most.
Key Responsibilities
for a client project (typically involving 2 to 3 scrum teams) — from requirement gathering and architecture to deployment and monitoring
combining modern full-stack frameworks, cloud infrastructure, and emerging AI components
around frameworks, patterns, and technology stacks to ensure performance, scalability, and maintainability
, working closely with clients and internal teams to define compelling and feasible technical proposals
across multiple technical and business threads — simplifying complexity and aligning stakeholders to a clear architectural vision
with observability, security, performance tuning, and fault tolerance built-in
, review implementation approaches, and guide best practices across the stack
Required Skills & Expertise
A. Software Development & Architecture
full-stack development experience
with hands-on expertise in
React
and
such as
AWS, Azure, or GCP
— microservices, REST / gRPC APIs, messaging queues, event-driven systems
CI / CD pipelines
Docker
Kubernetes
, and
infrastructure as code
, with exposure to
FastAPI
Celery
Redis
, and
Kafka
B. AI, ML & Agentic Systems (Experience in at least one of the following areas is desirable)
: cognitive agents, task planning, multi-agent orchestration (
MCP
), agent-to-agent (
A2A
) communication
such as
Amazon Bedrock (Bedrock Flows, AgentCore)
or
Azure AI Foundry / Logic Apps
: LangChain, HuggingFace, OpenAI APIs, or
RAG pipelines
: model lifecycle, feature engineering, integration, or evaluation
Responsible AI
explainability (SHAP / LIME)
, or
model observability
(Prometheus, WhyLabs)
Required Background
2–3+ years
in solution architecture or technical leadership
end-to-end production-grade solution
(AI-driven preferred but not mandatory)
Why Join
AI-powered enterprise solutions
Technical Lead • India