Top Python Developer Jobs in Delhi

The QA Engineer will be responsible for planning and executing software testing, writing test cases, bug filing, and maintaining testing documentation.

The role involves building and integrating LLM-powered systems, requiring expertise in Python, agent frameworks, and modern API development.

Embed with customers to discover, prototype, and productionize AI solutions (RAG, pipelines, fine-tuning, infra). Build secure, observable services, enable customers, and drive measurable business impact.

Define and govern frontend architecture for enterprise web platforms, establish design systems, and ensure scalable UI engineering strategies while mentoring senior engineers and driving modernization efforts.

The Principal Engineer, Technical Architect is responsible for designing AI/ML solutions, implementing architectures, mentoring teams, and ensuring best practices in technology and project delivery.

The role involves designing AI/ML solutions, translating business cases into architecture, overseeing system design, mentoring teams, and ensuring ethical AI practices.

The Principal Engineer, Technical Architect will design and implement AI/ML solutions, ensuring alignment with business requirements and overseeing technical architecture.

The Backend Software Engineer will enhance Bloomreach's search infrastructure, develop performance metrics, and utilize machine learning for anomalies detection and relevance improvements.

Develop and optimize LLMs, evaluate model performance, integrate advanced AI technologies, lead cross-functional collaboration, and document methodologies.

As a Solutions Engineer, you will guide AI startups in Neo4j's Startup Program, helping them implement graph and LLM solutions, ensuring successful onboarding and production adoption while providing technical leadership and promoting best practices.

The Platform Engineer will design and maintain testing frameworks using Playwright, ensuring quality and performance in a scalable platform through automation and collaboration with teams.

The Technical Support Engineer - NSP troubleshoots networking issues, collaborates with teams, resolves complex technical situations, and mentors junior staff while ensuring compliance with SLAs.

As a Technical Support Engineer, you will troubleshoot complex products, collaborate with R&D, maintain SLA compliance, and mentor junior staff while managing multi-vendor networks.

Lead and innovate testing strategies for Wi-Fi and Mesh-enabled products, developing automation frameworks and executing test cases while mentoring a team.

The Site Reliability Engineer ensures systems reliability through automation, monitoring, and incident response, balancing software development with operational tasks.

As a DevOps Engineer, you will automate and manage cloud services and build/deploy systems ensuring high availability, incident management, and operational efficiency using a tech stack focusing on Kubernetes, Docker, and more.

Design, operate, and optimize a large-scale distributed architecture and microservices. Troubleshoot production issues and improve API gateways, ensuring system reliability and performance. Engage in CI/CD improvements and contribute to service decoupling.

As a QA Engineer, own quality assurance for web and mobile frontends, perform automated testing, file bug reports, and collaborate with engineering teams. Must understand DeFi and trading interfaces.

As a Design Team Member, you will implement digital blocks to full-chip designs, focusing on physical design constraints and ensuring manufacturability by coordinating with various engineering teams.

The technical lead will design and build AWS data platforms, guiding engineers, ensuring delivery excellence while collaborating with product owners and stakeholders.

The Revenue Intelligence Analyst will transform revenue performance understanding using AI, automate insights, and improve decision-making processes for sales and marketing teams.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

Lead the data engineering team, providing technical expertise, mentorship, and project guidance while optimizing data solutions and ensuring compliance with industry standards.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.