Job Role: Python - AI & Cloud-Native Systems Technical Lead
Experience: 7 - 10 years in Python development with exposure to AI and productivity tooling
Notice period: 15days to immediate joiners
Hiring mode: Fulltime Permanent
Work Mode: Hybrid
Job Location: Trivandrum / Kochi
Job Summary:
We are seeking a highly skilled Python Tech Lead to drive the architecture design and delivery of AI enabled cloud-native applications. This role combines deep hands-on Python expertise with technicalleadership and ownership of scalable systems integrating Generative AI LLMs and modern backendarchitectures.
As a Tech Lead you will be responsible for end-to-end technical decision-making mentoring engineersensuring production-grade AI integration and aligning engineering practices with business goals.
Technical Leadership & Architecture Ownership
Own end-to-end architecture and technical design of AI-powered backend systems.
Define scalable system architecture for Python-based microservices and distributed systems.
Lead architecture reviews and provide technical sign-off on solution designs.
Drive technical roadmap planning for AI-enabled products or client engagements.
Identify and mitigate technical and performance risks across delivery lifecycle.
Serve as the technical escalation point for production issues and system reliability concerns.
AI & Intelligent System Design
Design and implement LLM-powered solutions including RAG pipelines vector search
integrations chatbots and intelligent APIs.
Architect responsible AI integration strategies ensuring security cost efficiency and compliance.
Evaluate and integrate AI frameworks (e.g. LangChain LlamaIndex) based on architectural fit.
Ensure robustness of AI workflows through monitoring fallback handling and performance
tuning.
Backend & Cloud Engineering
Design and develop scalable applications using Python frameworks such as FastAPI Flask orDjango.
Architect RESTful and event-driven APIs for AI-integrated systems.
Implement asynchronous processing caching and background task orchestration.
Design containerized deployments using Docker and Kubernetes.
Leverage AWS Azure or GCP services for scalable cloud-native architecture.
Define CI/CD pipelines and Infrastructure as Code (Terraform Pulumi).
Engineering Governance & Best Practices
Conduct code reviews and enforce engineering standards.
Establish guidelines for AI-assisted development tools ensuring responsible and effective usage.
Ensure strong focus on scalability maintainability performance and security.
Promote automated testing observability and production readiness practices.
Optimize infrastructure cost for AI and compute-intensive workloads.
Team Leadership & Collaboration
Mentor and guide engineers in backend and AI engineering best practices.
Support sprint planning estimation and technical backlog refinement.
Collaborate with product DevOps data science and stakeholders to translate business needs intotechnical solutions.
Foster a culture of innovation balanced with engineering discipline.
Required Skills & Experience
7-10 years of strong hands-on Python experience (3.10).
Proven experience architecting scalable backend systems.
Strong experience building and deploying AI/LLM-integrated applications.
Hands-on expertise with FastAPI Flask or Django.
Experience designing and deploying RAG workflows and vector search systems.
Solid understanding of distributed systems and microservices architecture.
Experience with Docker Kubernetes and cloud platforms (AWS/Azure/GCP).
Strong database experience (PostgreSQL MongoDB Redis).
Experience implementing CI/CD and Infrastructure as Code.
Strong understanding of API security scalability and performance optimization.
Experience mentoring engineers and leading technical discussions.
Exposure to AI agent frameworks and workflow orchestration tools.
Good to Have
Experience with vector databases (Pinecone Weaviate FAISS ChromaDB).
Experience in client-facing or services delivery environments.
Contributions to open-source AI or backend systems.
Required Skills:
PythonAI/LLMFast APIRAGCloudDockerDatabaseCI/CD
Job Role: Python - AI & Cloud-Native Systems Technical LeadExperience: 7 - 10 years in Python development with exposure to AI and productivity toolingNotice period: 15days to immediate joinersHiring mode: Fulltime PermanentWork Mode: Hybrid Job Location: Trivandrum / Kochi Job Summary:We are seekin...
Job Role: Python - AI & Cloud-Native Systems Technical Lead
Experience: 7 - 10 years in Python development with exposure to AI and productivity tooling
Notice period: 15days to immediate joiners
Hiring mode: Fulltime Permanent
Work Mode: Hybrid
Job Location: Trivandrum / Kochi
Job Summary:
We are seeking a highly skilled Python Tech Lead to drive the architecture design and delivery of AI enabled cloud-native applications. This role combines deep hands-on Python expertise with technicalleadership and ownership of scalable systems integrating Generative AI LLMs and modern backendarchitectures.
As a Tech Lead you will be responsible for end-to-end technical decision-making mentoring engineersensuring production-grade AI integration and aligning engineering practices with business goals.
Technical Leadership & Architecture Ownership
Own end-to-end architecture and technical design of AI-powered backend systems.
Define scalable system architecture for Python-based microservices and distributed systems.
Lead architecture reviews and provide technical sign-off on solution designs.
Drive technical roadmap planning for AI-enabled products or client engagements.
Identify and mitigate technical and performance risks across delivery lifecycle.
Serve as the technical escalation point for production issues and system reliability concerns.
AI & Intelligent System Design
Design and implement LLM-powered solutions including RAG pipelines vector search
integrations chatbots and intelligent APIs.
Architect responsible AI integration strategies ensuring security cost efficiency and compliance.
Evaluate and integrate AI frameworks (e.g. LangChain LlamaIndex) based on architectural fit.
Ensure robustness of AI workflows through monitoring fallback handling and performance
tuning.
Backend & Cloud Engineering
Design and develop scalable applications using Python frameworks such as FastAPI Flask orDjango.
Architect RESTful and event-driven APIs for AI-integrated systems.
Implement asynchronous processing caching and background task orchestration.
Design containerized deployments using Docker and Kubernetes.
Leverage AWS Azure or GCP services for scalable cloud-native architecture.
Define CI/CD pipelines and Infrastructure as Code (Terraform Pulumi).
Engineering Governance & Best Practices
Conduct code reviews and enforce engineering standards.
Establish guidelines for AI-assisted development tools ensuring responsible and effective usage.
Ensure strong focus on scalability maintainability performance and security.
Promote automated testing observability and production readiness practices.
Optimize infrastructure cost for AI and compute-intensive workloads.
Team Leadership & Collaboration
Mentor and guide engineers in backend and AI engineering best practices.
Support sprint planning estimation and technical backlog refinement.
Collaborate with product DevOps data science and stakeholders to translate business needs intotechnical solutions.
Foster a culture of innovation balanced with engineering discipline.
Required Skills & Experience
7-10 years of strong hands-on Python experience (3.10).
Proven experience architecting scalable backend systems.
Strong experience building and deploying AI/LLM-integrated applications.
Hands-on expertise with FastAPI Flask or Django.
Experience designing and deploying RAG workflows and vector search systems.
Solid understanding of distributed systems and microservices architecture.
Experience with Docker Kubernetes and cloud platforms (AWS/Azure/GCP).
Strong database experience (PostgreSQL MongoDB Redis).
Experience implementing CI/CD and Infrastructure as Code.
Strong understanding of API security scalability and performance optimization.
Experience mentoring engineers and leading technical discussions.
Exposure to AI agent frameworks and workflow orchestration tools.
Good to Have
Experience with vector databases (Pinecone Weaviate FAISS ChromaDB).
Experience in client-facing or services delivery environments.
Contributions to open-source AI or backend systems.
Required Skills:
PythonAI/LLMFast APIRAGCloudDockerDatabaseCI/CD
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