Lead Python Engineer at Ciklum

, , India -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Generative AI, Agentic AI, API Design, Microservices, Azure, AWS, SQL, Databricks, LLMs, Cloud-Native, Containerized Deployments, React, Tailwind, LangChain

Industry

IT Services and IT Consulting

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 an 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: * 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 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: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram [https://www.instagram.com/ciklum/], Facebook [https://www.facebook.com/ciklumindia], LinkedIn [https://www.linkedin.com/company/ciklumindia/]. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Responsibilities

The Lead Python Engineer 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. Key duties include designing scalable backend platforms using Python and FastAPI, and developing AI applications using Generative AI and Agentic AI frameworks.