Top Python Developer Jobs in Delhi

Design, build, and maintain centralized data pipelines, warehouses, lakes and hubs. Assemble complex datasets, implement ETL processes, build analytics tools and reports, support cross-functional teams, ensure secure cross-region data separation, and create product data tools to enable insights on acquisition and operational metrics.

Owns quality engineering for carrier-grade optical networking products. Responsibilities include creating test plans, validating system features and customer scenarios, developing manual and automated test scripts, maintaining test frameworks, analyzing failures and defects, and reporting quality assessments. The role requires testing SONET, SDH, OTN, DWDM, ROADM, optical amplifiers, FCAPS, provisioning, configuration, and protection schemes using test equipment and scripting languages.

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.

Develop, optimize, and maintain scalable ETL/ELT data pipelines for structured and unstructured data using Python and PySpark. Ensure data quality through validation, cleansing, transformation, and reconciliation. Collaborate with technical and business stakeholders, troubleshoot performance issues, conduct code reviews, and implement coding standards and CI/CD pipelines. Work with big data frameworks, cloud platforms, databases, data models, schemas, and warehousing solutions.

Build scalable data pipelines for large datasets using Microsoft Fabric, Azure data services, advanced SQL, and Python/Spark. Develop data transformations and apply data modeling principles such as star schemas. Experience working with financial services data is desirable.

Provides post-sales technical support for APIs, SDKs, and developer integrations. Diagnoses and reproduces customer and partner issues, analyzes logs and payloads, distinguishes implementation issues from defects, and escalates validated problems to Engineering. Supports authentication, licensing, configuration, and troubleshooting while contributing to API documentation and knowledge resources. Collaborates with Engineering, Product, and partners on recurring issues, incident response, and improving developer enablement.

Defines end-to-end architecture for custom applications, automations, dashboards, data pipelines, Power Platform solutions, and AI-enabled workflows. Governs architecture standards, build-versus-buy decisions, secure coding, secrets management, and regulated GxP SDLC controls. Collaborates with stakeholders, translates business needs into technical models, supports architecture governance, and mentors developers and engineers.

Leads the design and development of scalable AI-powered productivity tools and modern web applications. Responsibilities include architecting generative AI and RAG workflows, integrating LLMs, adopting AWS or GCP cloud-native architectures, collaborating cross-functionally, mentoring engineers, and driving technical initiatives that improve employee productivity.

Leads multi-week to multi-month coding data programs for AI and platform teams. Responsibilities include designing coding assessments, coordinating software engineering fellows, building annotation and code-review workflows, managing QA and customer feedback, tracking delivery, margins and quality, and creating Python, TypeScript, and SQL automation for analytics and reporting.

Own quality for AI products including a support chatbot, API Copilot, and MCP server. Build golden datasets, evaluation harnesses, scoring systems, regression coverage, and release gates. Analyze production traces and tool calls to identify hallucinations, retrieval, generation, tool-use, context, and PII failures. Define quality metrics, investigate root causes, and convert findings into actionable engineering evidence. The role requires Python, API testing, AI evaluation experience, and strong QA/SDET expertise.

Own ELSA’s end-to-end B2C consumer product experience, including onboarding, learning, AI coaching, subscriptions, engagement, and retention. Drive acquisition, activation, conversion, monetization, and learning outcomes through user research, behavioral analytics, experimentation, and roadmap prioritization. Partner with Engineering, AI/ML, Design, Marketing, Growth, and Data teams to deliver personalized experiences, run A/B tests, measure product performance, and communicate strategy and results to leadership.

Build and lead the AI engineering platform for enterprise COBOL modernization. Responsibilities include designing transformer models for COBOL-to-Java/Python translation, developing high-performance code analysis engines, optimizing inference, architecting distributed cloud-native systems, and delivering reliable AI pipelines for large enterprise codebases. The role also includes hiring and leading engineering teams, shaping product strategy, and partnering with the CEO as a technical co-founder.

Lead the design and production deployment of LLM-powered AI agents, generative AI systems, and retrieval-augmented generation infrastructure. Build and fine-tune models, develop multi-step agents, apply data science methods, and establish evaluation, monitoring, observability, and feedback systems. Partner with product, backend, and infrastructure teams to scale AI capabilities across messaging, scheduling, sales, and operations while influencing the AI roadmap and mentoring engineers.

Design, build, and maintain customer integrations connecting Vyn’s platform with enterprise CRM, customer service, field service, asset, and facilities systems. Develop reusable AWS-based connectors and Salesforce ecosystem solutions, collaborate with customer and internal technical teams, monitor production reliability, diagnose failures, and improve testing, architecture, and engineering standards while mentoring teammates.

Design, build, and operate AWS/Azure cloud infrastructure and DevOps workflows. Own IaC, CI/CD, container and serverless deployments, monitoring, security, cost optimization, and cloud migrations while automating operations and collaborating with development, data, and ML teams.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

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.

Research Scientist responsible for advancing agentic AI, multimodal reasoning, post-training, calibration, uncertainty estimation, self-verification, evaluations, benchmarks, and synthetic data methods. The role requires translating original research into production improvements in reliability, approval rates, turnaround time, and cost. Responsibilities include designing experiments, collaborating with research engineers, analyzing results, and potentially publishing findings.

Build and productionize AI systems for visa processing, including LLM agents, document intelligence pipelines, evaluation frameworks, model experiments, data pipelines, inference infrastructure, monitoring, and human-in-the-loop safeguards. The role requires taking research concepts from experimentation through reliable, scalable production systems while improving accuracy, latency, cost, and application outcomes.

Design, build, and maintain fullstack web systems with Zoom Apps integration. Implement scalable front-end and back-end components, APIs, and cloud-hosted services while optimizing performance and collaborating with product and research teams in a fast-paced health-tech startup.

Develop and refine voice-optimized prompts and agentic LLM workflows for finance use cases. Build RAG grounding, integrate LLMs with voice/telephony (LiveKit), implement feedback loops, A/B testing, fine-tune models, and collaborate on production ML services and OCR/chatbot components.

Investigate escalated production incidents (DB anomalies, failed payments, data migrations), write post-mortems and runbooks, and build AI-powered automation (LLM diagnostics, agents) plus developer tooling. Maintain CI/CD, GCP infrastructure, container deployments, observability, and partner on ERP and payment provider integrations.

Build and deploy agentic finance AI solutions: design voice‑optimized prompts and conversational flows, integrate LLMs (Gemini/GPT/Claude) with RAG and enterprise data, implement voice/speech/telephony integrations, automate workflows and reporting using Python and SQL, and collaborate across product, engineering, and operations to tune and monitor production ML systems.

Build and operate Python backend services and APIs supporting visa applications, payments, document processing, order tracking, and AI workflows. Design resilient integrations with government portals, embassies, payment providers, and partners. Develop scalable data models, queues, caching, and asynchronous systems while owning deployment, monitoring, alerting, testing, security, and incident follow-up.