Description :

Ciklum is looking for a Lead Python 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 Python 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.