Top Python Developer Jobs in Delhi

Lead the design and development of scalable full-stack applications powered by Generative AI and LLMs. Build RAG pipelines, agentic workflows, and AI applications using React, Node.js, LangChain, and LangGraph. Integrate LLMs with APIs, databases, and enterprise systems while ensuring security, reliability, and production readiness. Provide architecture guidance, conduct code reviews, mentor developers, troubleshoot issues, and lead solutions from design through deployment and support.

Leads verification and validation for aerospace displays and graphics systems under DO-178B/C objectives. Tests touch-screen controllers, electronic display components, graphics, navigation, and warning functions using requirement-based, scenario-based, and automated testing. Drives technical initiatives, resolves complex issues, collaborates with global engineering teams, provides estimates, and mentors or influences technical teams. Requires deep avionics and aerospace display testing expertise, embedded systems knowledge, Python, and C/C++ proficiency.

Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Build and operate production LLM systems, including prompt and pipeline versioning, evaluations, monitoring, observability, RAG and vector-store infrastructure, safety guardrails, and cost governance. Develop CI/CD and operational tooling for non-deterministic AI outputs, manage reliability and compliance requirements, and collaborate with engineering and product teams to turn AI prototypes into scalable, secure, cost-effective production systems.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.

Develop and maintain Alteryx automation workflows for data preparation, reconciliation, reporting, validation, and exception management. Design preventive and detective controls, document data lineage, investigate data-quality issues, and support testing, releases, production implementation, and remediation. Collaborate with technology, operations, risk, control owners, and data stakeholders to standardize processes, improve efficiency, and strengthen control effectiveness.

Implement, configure, and support SMAX in cloud-native Kubernetes or OpenShift environments. Provide L2/L3 ITSM production support, resolve incidents within SLA, perform root cause analysis, and support deployments, patches, and upgrades. Manage integrations with enterprise tools and backend components including PostgreSQL, Elasticsearch, and Kafka. Develop SQL queries, reports, dashboards, and KPIs while performing data validation, reconciliation, and basic performance tuning. Drive automation, troubleshooting, and platform improvements.

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

The Product Security Engineer partners with development teams to secure cloud-native and SaaS products throughout the software development lifecycle. Responsibilities include threat modeling, security assessments, secure design reviews, cloud security investigations, automation of security controls and detection, incident remediation, stakeholder guidance, and continuous improvement of security processes and tooling.

Lead product security initiatives across the software development lifecycle. Conduct threat modeling and security assessments, review cloud application designs, build security automation and detection controls, support cloud incident response, and guide engineering teams on secure development. The role also requires identifying AI/LLM risks, collaborating with technical and non-technical stakeholders, improving security processes, and mentoring security practitioners.

Lead hands-on delivery of agentic AI solutions across Salesforce, Slack, and enterprise workflows. Design LLM-powered agents, multi-agent systems, RAG pipelines, semantic search, AI evaluation frameworks, and secure integrations. Build Salesforce components and Agentforce actions, implement CI/CD and observability, establish governance and fallback strategies, modernize legacy integrations, mentor engineers, evaluate AI platforms, and automate manual GTM processes.

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Build applied AI systems and prototypes using LLMs, RAG pipelines, vector databases, agentic workflows, structured extraction, and custom models. Design evaluation frameworks, measure accuracy and grounding, analyze errors, and iterate on solutions. Work with large structured and unstructured datasets using Python, SQL, and cloud data platforms. Partner with product, data, engineering, and business teams to translate ambiguous problems into measurable AI solutions and document architectures, prompts, runbooks, and results.

Own the architecture, technical direction, reliability, cost efficiency, and adoption of Atlassian’s analytical data platform. Build foundational ingestion, transformation, orchestration, compute, and consumption components; establish multi-tenant standards and SLOs; and lead cross-team technical initiatives. The role requires hands-on development, distributed systems expertise, batch and streaming architecture design, cloud experience, and mentorship of senior engineers.

Deploy, manage, and optimize Google Cloud infrastructure across compute, storage, networking, security, databases, and monitoring. Support migrations, system administration, troubleshooting, CI/CD, Terraform-based automation, security compliance, and backup strategies. Collaborate with customers and delivery teams on implementations, testing, go-live activities, documentation, and post-deployment support. The role requires strong GCP expertise, infrastructure and DevOps experience, scripting skills, and customer-facing communication.

Design, build, deploy, integrate, and optimize production voice AI agents for enterprise clients. Develop backend integrations using APIs, WebSockets, webhooks, and CRM systems; implement LLM orchestration with frameworks such as LangChain and OpenAI APIs; analyze logs and agent metrics; perform root-cause analysis; and lead client workshops, deployment reviews, and technical delivery.

Leads technical delivery of government voice AI deployments from scoping through launch and post-launch reporting. Owns architecture, integrations, security, hosting, compliance, RFP solutioning, technical bids, estimates, SLAs, demos, and executive stakeholder communication. Personally handles complex deployments while managing a forward-deployed engineering team. Requires hands-on software, cloud, API, SQL, monitoring, and LLM application expertise, plus frequent collaboration with product, engineering, government departments, and senior officials.

Partners with enterprise customers to understand requirements, design AI solution architectures, and guide production deployments. Builds integrations, prototypes, reusable tools, and technical assets while troubleshooting complex issues. Leads technical workshops, collaborates with Product and Engineering teams, and shares customer feedback to improve the platform. The role combines software engineering, customer engagement, AI deployment, and scalable solution development.

Designs, deploys, and manages scalable GCP infrastructure using Terraform and automation. Manages GKE, Docker, Helm, Cloud Run, Cloud Functions, storage, databases, load balancers, monitoring, scaling, and cost optimization. Builds Azure DevOps CI/CD pipelines, automates infrastructure with scripting, and integrates security and compliance checks into DevSecOps workflows.

Manage end-to-end cross-border payment operations, including collections, payouts, settlements, reconciliations, refunds, exceptions, escalations, and operational controls. Drive workflow optimization, automation, AI initiatives, SOPs, dashboards, and reporting while collaborating with Product, Engineering, Sales, Finance, Risk, and Support teams.

Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Develop and maintain Power BI dashboards, reports, data models, measures, and DAX calculations. Extract and analyze data using SQL, validate report accuracy, troubleshoot data issues, and translate stakeholder requirements into actionable visualizations and insights. The role also involves documenting dashboard logic and data sources while collaborating with business stakeholders.

Develop and maintain Power BI dashboards and reporting solutions, write and optimize SQL queries, build data models and DAX calculations, validate data quality, and translate business requirements into actionable insights. The role involves stakeholder collaboration, troubleshooting reporting issues, documenting dashboard logic and data sources, and ensuring accurate, consistent reporting.