Lead Backend Engineer – Python/Generative AI (15 LPA to ₹20 LPA)

Winzons; India; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Medical Insurance

Udemy access

Certifications paid

Global projects

Job summary

Ciklum seeks a Lead Backend Engineer to drive design and development of scalable backend systems in India. The role emphasizes Python-based backend architecture, FastAPI, API ecosystems, and AI-enabled platforms.

You will lead engineering teams, set technical standards, and collaborate cross-functionally to deliver enterprise-grade solutions. The candidate should bring 12+ years in software engineering, deep Python expertise, and experience with cloud infrastructure and AI integration.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 12+ years of experience in software engineering, including backend and AI-based development.
• Strong Python expertise and backend architecture knowledge.

Responsibilities

• Architect scalable backend platforms using Python and FastAPI.
• Define standards, architecture patterns, and best practices for backend and AI systems.
• Lead development of high-performance microservices and API ecosystems.
• Architect and deliver end-to-end AI applications using Generative AI and Agentic AI frameworks.
• Design data architectures and AI-ready data platforms; optimize data processing and analytics.

Skills

Python

FastAPI

API design

Microservices

Distributed systems

Leadership

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Databricks Genie & NLQ

Azure / AWS

Docker

Kubernetes

LangChain / LLM frameworks

Job description

Company Name: Ciklum

Job Role: Lead Backend Engineer

Work Type: Full-Time

Experience: 10-13 Years

Location: Chennai

Industry: Software Engineering / Artificial Intelligence

Description :

Ciklum is looking for a Lead Backend Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges.

With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About The Role :

We are seeking a Lead Backend Engineer with 12+ years of experience to lead the design and development of advanced backend systems and AI-powered platforms.

The ideal candidate will have deep expertise in Python-based backend architecture, scalable API design, cloud infrastructure, and modern AI technologies such as Generative AI and Agentic AI.

This role will be responsible for architecting end-to-end AI solutions, guiding engineering teams, and driving the adoption of cutting‑edge AI technologies across the organization.

Responsibilities :

Architecture & Technical Leadership :

• Design and architect scalable backend platforms using Python and FastAPI.
• Define technical standards, architecture patterns, and best practices for backend and AI systems.
• Lead the development of high-performance microservices and API ecosystems.

AI Solution Development :

• Architect and deliver end-to-end AI applications using Generative AI and Agentic AI frameworks.
• Design AI-driven workflows, autonomous agents, and intelligent automation systems.
• Integrate LLMs, AI models, and vector-based retrieval systems into enterprise applications.

Data & Platform Engineering :

• Design and optimize data architectures leveraging SQL databases and Databricks (Genie & NLQ).
• Build scalable data processing pipelines and AI-ready data platforms.
• Ensure high-performance data retrieval, processing, and analytics integration.

Cloud & Infrastructure Strategy :

• Lead deployment and infrastructure strategies across Azure or AWS environments.
• Architect cloud‑native solutions, containerized deployments, and scalable infrastructure.
• Ensure systems meet enterprise‑grade security, reliability, and scalability requirements.

Technical Mentorship :

• Provide technical leadership and mentorship to engineering teams.
• Conduct architecture reviews and code quality assessments.
• Guide teams in adopting emerging AI technologies and engineering best practices.

Cross-functional Collaboration :

• Collaborate with data scientists, product leaders, and business stakeholders to define AI-driven solutions.
• Translate complex business problems into scalable technical architectures.
• Drive innovation through AI experimentation and rapid prototyping.

Requirements :

• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• 12+ years of experience in software engineering, including backend and AI-based application development.

Programming & Backend Architecture :

• Expert-level proficiency in Python.
• Strong experience with FastAPI or modern Python backend frameworks.
• Deep understanding of API architecture, microservices, and distributed systems.

Database & Data Platforms :

• Advanced expertise in SQL.
• Experience with Databricks (Genie & NLQ).
• Strong knowledge of RDBMS systems (PostgreSQL, MySQL, SQL Server, etc.

Cloud & Infrastructure :

• Extensive experience with cloud platforms such as Azure or AWS.
• Knowledge of cloud-native architecture and scalable deployments.

Artificial Intelligence :

• Proven experience building end-to-end applications using Generative AI or Agentic AI.
• Strong understanding of LLM integrations, AI orchestration frameworks, and intelligent automation.

Desirable :

• Front End : React +tailwind.
• AWS Bedrock and Agentcore.
• Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Knowledge of vector databases and retrieval‑augmented generation (RAG).
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Exposure to MLOps and AI model deployment pipelines.

What`s in it for you? :

• Strong community : Work alongside top professionals in a friendly, open-door environment.
• Growth focus : Take on large-scale projects with a global impact and expand your expertise.
• Tailored learning : Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company‑paid certifications.
• Endless opportunities : Explore diverse domains through internal mobility, finding the best fit to gain hands‑on experience with cutting‑edge technologies.
• Care : Weve got you covered with company‑paid medical insurance, mental health support, and financial & legal consultations.