Top Python Developer Jobs in Delhi

Deploy, configure, and operate Rhombus Power's AI platform across cloud, on-premises, and edge environments. Install and validate hardware, networking, and compute infrastructure; support AWS, Docker, containerized applications, CI/CD, monitoring, and troubleshooting. Perform site readiness, rack mounting, backups, UAT, and disaster recovery. Act as on-site technical liaison, maintain deployment documentation, escalate issues, and provide ongoing operational support for defense customers.

The Full Stack Developer will design, develop, and deploy web applications using React.js and Node.js, focusing on scalable solutions and collaborating with cross-functional teams.

Leads complex technical programs across engineering, product, legal, and enterprise stakeholders. Owns cloud security control rollouts, remediation SLAs, audit readiness, prioritization frameworks, launch reviews, tooling deprecation, incident debriefs, and production-readiness assessments. Requires strong understanding of distributed systems, AWS infrastructure, security platforms, Kubernetes, SIEM/SOAR, metrics, logs, SLOs, and ML/LLM products. The role partners with senior engineering leadership and drives scalable program frameworks across multiple teams.

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.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

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.

Design, build, and optimize AI-driven automation workflows using platforms like n8n, Make, and Zapier. Train, fine-tune, and deploy custom LLMs (OpenAI, Hugging Face, TensorFlow) and integrate LLM APIs. Collaborate with stakeholders, troubleshoot and document workflows, and stay current on generative AI and automation technologies.

Design, build, and optimize AI-driven automation workflows using platforms like n8n, Make, and Zapier. Train, fine-tune, and deploy custom LLMs (OpenAI, Hugging Face, etc.), integrate LLM APIs, collaborate with stakeholders, troubleshoot and document solutions, and stay current on generative AI advances. Mandatory technical assessment required.

Build data infrastructure and reliable pipelines, analyze product usage, train traditional and LLM-based models, define product metrics, run experiments, and translate findings into product and go-to-market decisions. The role combines data science, data engineering, product analytics, machine learning, and stakeholder communication, with ownership across data modeling, evaluation, experimentation, and product insight generation.

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.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Embed with customers to understand their technical environments, build and deploy custom integrations and workflows, write production code, prototype and scale solutions, debug complex issues, and translate customer insights into product requirements. Partner with sales and customer success on technical evaluations, pilots, and POCs while identifying broader platform opportunities. The role requires customer travel of approximately 20–50%.

Design, automate, and execute UI, API, integration, database, regression, and performance tests for enterprise applications, particularly Oracle Fusion Financial modules. Develop test strategies, plans, suites, documentation, defect reports, traceability, and coverage metrics. Validate cross-platform integrations using APIs, web services, shell scripts, batch processing, and file transfers. Collaborate with architects, developers, analysts, management, and international teams to support reliable software releases and continuous quality improvement.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

Lead end-to-end validation for coherent pluggable optics and transponder products. Plan and execute system/feature/regression tests across HW, ASIC, FW, and SW. Drive test automation, collaborate with cross-disciplinary teams, perform RCA for field issues, and ensure release sign-off with risk assessment and quality metrics.

As a Staff QA Automation Engineer, you'll automate software deployment processes, enhance tools for testing, and support cloud infrastructure. You'll collaborate with distributed teams and deliver enterprise-grade products.

The Technical Marketing Engineer will create technical content, demonstrate products, engage with developers, collaborate cross-functionally, and support marketing initiatives.

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

Build end-to-end infrastructure for AI agents: design React/TypeScript UIs, implement Python agent harnesses, develop Kubeflow-based MLOps pipelines, fine-tune foundation LLMs (LoRA/QLoRA/SFT/RLHF), deploy and operate services on Kubernetes, integrate agent frameworks, and apply software engineering best practices, testing, and CI/CD.

Design and implement production-grade AI agent harnesses, build and operate MLOps pipelines with Kubeflow, fine-tune foundation LLMs (LoRA/QLoRA, SFT, RLHF), deploy and manage services on Kubernetes, integrate agent frameworks, and apply software engineering best practices to move models from prototype to production.

Design, build, and optimize Power BI dashboards and automated ETL/data pipelines for supply chain KPIs. Integrate SAP, Databricks, and Microsoft Fabric/Azure sources, ensure data integrity and governance, enable predictive analytics, train stakeholders, and drive continuous improvement across supply chain analytics.

Design, prototype, and deliver agentic AI solutions using ML and generative models. Partner with product, engineering, and delivery teams to build, evaluate, and deploy LLM-based solutions, run experiments and POCs, and communicate technical recommendations to stakeholders.

Serve as a finance-focused SAP S/4HANA functional advisor: review SI designs, validate end-to-end finance processes (FI/CO/COPA), produce functional documentation, lead UAT/integration testing, support change management, and partner with finance, SI, and IT during go-live and hypercare.