Job Description

Job Information

Job Type

Contract

Work Experience

10-15 years

Industry

IT Services

Date Opened

09/19/2025

City

Chennai City Corporation

State/Province

Tamil Nadu

Country

India

Zip/Postal Code

600015

o Architecture & Strategy : Define and evolve the technical architecture of a multi


tenant SaaS platform.


o Engineering Leadership : Translate product requirements into robust, scalable


technical solutions across APIs, microservices, and automation frameworks.


o Team Leadership : Mentor and guide engineers, establish coding standards, and


foster a culture of technical excellence.


o AI & Data Systems : Oversee design of ML/AI-driven modules, analytics engines,


and data pipelines.


o Agentic AI Solutions : Design and implement autonomous and semi-autonomous


AI agents to drive decision-making, workflow automation, and user interactions.


o LLM Integration & Orchestration : Lead initiatives in leveraging large language


models (LLMs), multi-agent orchestration frameworks, and vector databases to


create adaptive, intelligent systems.


o Integration Ecosystem : Lead development of integrations with third-party systems


(eCommerce platforms, ERPs, CRMs, marketplaces, etc.).


o Security & Compliance : Ensure platform adheres to enterprise-grade security,


compliance, and privacy standards.


o Performance & Scalability : Anticipate growth needs and ensure high availability,


reliability, and cost optimization.


o Cross-Functional Collaboration : Partner with product, design, and business


stakeholders to align technical execution with business goals.

Requirements

o 10-15 years of experience in software engineering with at least 5 years in technical


leadership roles.


o Proven track record of architecting and scaling SaaS platforms.


o Strong expertise in cloud-native development (AWS, Azure, or GCP), microservices,


and API-first architectures.


o Hands-on experience with modern backend frameworks (Node.js, Python, Java, or


Go).


o Background in data engineering, event-driven systems, and ML/AI integration.


o Experience designing AI/ML solutions for personalization, forecasting, NLP, and


anomaly detection.


o Demonstrated experience with agentic AI systems (multi-agent orchestration, task


planning, tool-use frameworks).

Experience in SaaS, eCommerce, or AI/ML-driven products.


o Knowledge of ERP, CRM, or marketplace integrations.


o Familiarity with big data frameworks (Kafka, Spark, Snowflake, etc.).


o Experience with modern AI/ML toolchains (TensorFlow, PyTorch, Hugging Face,


LangChain, vector databases).


o Exposure to observability and monitoring tools (Grafana, Prometheus, Datadog, ML


model monitoring platforms).


o Experience in early-stage/startup environments with fast-paced execution

Preferred Qualification

o Strong knowledge of DevSecOps, CI/CD, MLOps, and infrastructure-as-code


practices.


o Demonstrated success in building and leading high-performing engineering teams.