Top Python Developer Jobs in Delhi

As a Staff QA Engineer, you'll define test strategies for Optical DWDM equipment, drive automation, validate system features, and ensure quality improvements.

Design and deploy agentic AI systems for logistics: architect multi-agent workflows, build retrieval pipelines and tool integrations, own agent lifecycle from discovery to production, implement guardrails/evaluation/logging, and deliver lightweight monitoring interfaces while embedding with business teams.

Design and execute functional and regression tests for broadband access products, validate L2/L3 protocols, build test environments, automate tests with Python and Robot Framework, run performance/traffic validation using Spirent/IXIA/PCTA, analyze results, drive defect resolution, and support agile delivery milestones.

Design and execute functional and regression tests for broadband access products, validate Layer 2/3 protocols, build test environments, develop Python and Robot Framework automation, run performance and traffic validation, analyze defects, and collaborate with engineering to deliver high-quality releases in an agile environment.

Lead end-to-end application product testing and quality for a cloud-native Fixed Access Domain Controller. Design and review test plans, automate tests (Robot Framework, Python, Selenium), validate across Kubernetes/OpenShift and public clouds, debug EMS/NMS/networking domains, drive performance and quality improvements, and collaborate with product, architecture, development, and test teams to ensure timely high-quality deliveries.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

Build modular agentic components and integrate memory layers, tool integrations, MCP servers, and skills. Own feature quality with tests, evals, and observability. Debug production traces, improve retrieval and LLM pipelines, and collaborate on agent orchestration for proposal automation in the AEC industry.

Lead backend architecture and engineering: design scalable APIs and services, mentor engineers, write complex code, enforce best practices for databases, testing, observability, and integrate ML/LLM workloads.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

Python Developers will design and evaluate software engineering tasks, including bug fixing and feature development, while reviewing peer submissions for quality.

Lead full-stack developer building React front-ends and Python/PySpark backends, integrating Databricks, implementing REST APIs, and deploying via Bitbucket to AWS/Azure. Ensure performance, scalability, code quality, and support cloud deployments and maintenance.

The Senior Full Stack Engineer will design and maintain features across backend and frontend systems, focusing on scalability and security while collaborating on production-grade solutions in a fast-paced environment.

The Developer Relations lead will build a developer community, create technical content, run workshops, and represent ai& at events. The role combines technical skills with community engagement, focusing on authentic relationships and developer feedback.

Design, build, and deploy machine learning models for a payments platform, overseeing end-to-end solutions and experimentation, while monitoring models in production.

As an Infrastructure Engineer, you will build and optimize storage and offloading infrastructure for multimodal robotics data, focusing on data movement, AWS optimization, and reliability across global operations.

Own post-sale technical success for APAC customers: lead onboarding, integrations across CI/CD and developer tooling, troubleshoot production issues, run QBRs and enablement, advocate customer feedback to Product and Engineering to drive adoption and upsell.

Lead 1–2 engineering teams to deliver cloud-based healthcare applications. Oversee design, development, testing, deployment, and documentation. Drive Agile practices, hiring, career development, metrics, technical debt reduction, and collaboration with product, architects, and stakeholders to ensure high uptime, test coverage, and on-time delivery.

The Senior Analyst will own Pricing Tools, manage data governance, drive pricing strategy decisions, execute audits, and enhance operational effectiveness.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

Lead the development of software for OLT products, focusing on performance and scalability, while mentoring teams and driving innovation in fiber transport technologies.

Define test strategies with hardware engineers and develop automated functional and system test solutions for Fixed Networks. Support global manufacturing sites and suppliers in implementing, maintaining, and optimizing test systems. Analyze test data to drive product and process improvements and collaborate to automate product configuration in factories and warehouses.

As a Strategic Projects Lead, you will manage high-impact AI data initiatives, optimize operations, and enhance customer relationships while collaborating with various teams to drive revenue growth.

Join the Futures QA Automation team to design and execute test plans across web, desktop, and mobile. Develop and run automated, performance, security, and mobile-specific tests; set up testing environments (Node.js, Java, Go, Python, local blockchain); diagnose root causes; collaborate with engineers, PMs, designers, and operations to improve quality and processes.

As a hands-on data engineer, you'll build and enhance scalable data platforms, develop data pipelines, and collaborate with various teams to improve data solutions and system performance.