Top Python Developer Jobs in Delhi

Designs, builds, and maintains scalable Python backend services, secure RESTful and GraphQL APIs, and AWS serverless microservices. Responsibilities include data modeling, database optimization, authentication and authorization, testing, code reviews, CI/CD, production monitoring, troubleshooting, and release processes. The role collaborates with frontend, DevOps, data science, AI, design, and product teams to deliver production-grade analytics and AI applications.

Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.

Design, develop, deploy, and maintain AI and machine learning solutions. Responsibilities include building models, using LLMs to create and optimize challenge datasets, training and evaluating models, integrating AI into production systems and APIs, conducting research, monitoring performance, and maintaining scalable documentation and code. The role collaborates with data scientists, software engineers, and product teams.

Support end-to-end digital clinical workflows for 3D-printed orthotics and prosthetics: scan patient anatomy, produce patient-specific CAD models, prepare and manage print production, validate fittings with clinicians, maintain digital asset/version control, troubleshoot printers, train clinical staff, and stay current on materials and regulatory considerations.

Develop and maintain full-stack web applications, build responsive UI components, support APIs, databases, and server-side logic, and debug, test, and optimize software. Collaborate with product teams, participate in code reviews, follow coding standards, and document implementations. This remote internship provides mentorship, production-level experience, and potential full-time placement based on performance.

Support 3D scanning, CAD modeling, and additive manufacturing of custom orthotic and prosthetic devices. Prepare prints (orientation, supports, slicing), manage production workflows, validate fit with clinicians, maintain digital asset/version control, troubleshoot printers, implement QC, and train clinical staff. Attend clinics and industry events to drive adoption and iterate designs.

Lead and mentor a data engineering team to design, build, and optimize scalable batch and real-time data pipelines using Databricks, Spark, Delta Lake and cloud services (Azure/AWS). Implement Medallion architecture, ETL/ELT workflows (ADF/Databricks Workflows), CI/CD and IaC, ensure data governance, performance, and stakeholder collaboration.

Lead and execute firmware development for embedded devices from requirements to production. Design, code, test, debug, and optimize system software; interface with hardware; integrate and validate new products; support QA and post-production; assess third-party/open-source software; apply embedded design best practices; research and prototype proofs of concept; mentor junior engineers.

Lead design, build, and scale production-grade Generative AI applications using LLMs, RAG, LangChain, vector databases, and agentic systems. Own AI orchestration, containerized Kubernetes deployments, CI/CD, data ingestion from enterprise sources, monitoring for high uptime, and governance/compliance to deliver measurable business impact and reusable AI accelerators.

Support the compliance and legal teams with document preparation, deadline tracking, vendor deployment coordination, business analysis, AML/CFT research, Relativity data maintenance, report drafting, cross-team liaison, and general administrative tasks to ensure smooth project workflows.

Lead and implement statistical programming for clinical trials: generate SDTM/ADaM/Define.xml, develop and validate SAS/R programs, produce tables/listings/figures, oversee CRO deliverables, support regulatory submissions and clinical study reporting, and maintain programming standards and SOPs.

Deploy, configure, and support Harrison.ai enterprise solutions remotely; build and manage Ubuntu systems; implement integrations (REST, HL7); provide L2/L3 troubleshooting, customer training, documentation, and coordinate with internal teams and vendor partners.

Design, develop, and deploy scalable AI/ML and Generative AI solutions (LLMs, RAG, agentic AI). Build AI agents, create intelligent workflows, fine-tune and monitor models, integrate with enterprise systems, and support production deployment and continuous improvement.

Design, develop, and maintain scalable full-stack applications using Angular/React and TypeScript. Build backend services in Python and .NET Core, implement microservices architecture, integrate databases (SQL Server, PostgreSQL, MongoDB) via REST APIs, ensure performance and code quality, participate in CI/CD, debugging, deployments, and collaborate with cross-functional teams.

Build and maintain customer-facing dashboard features across frontend and backend using React.js, Spring Boot, and Python. Develop REST APIs, data pipelines, and responsive UIs; participate in design, code reviews, testing, and production support to improve reliability and performance. Collaborate with Product and Design to deliver features and continuously improve developer productivity and application quality.

Build, optimize, and maintain scalable AWS-based data pipelines and data lakes (Snowflake/Databricks). Implement streaming ingestion (Kinesis/Kafka), CDC, automated data quality checks, and ML-ready feature stores. Collaborate with Product, ML, and Analytics teams, own pipeline QA, observability, and participate in on-call rotations to resolve production data issues.

Customer-facing engineering role delivering production-grade data and AI solutions on Databricks. Lead architecture, build end-to-end data pipelines, ML/AI integration, applications, and reusable assets. Collaborate cross-functionally, drive technical delivery, train and embed with customers, and contribute product and implementation feedback to scale impact.

Design and operate the backend platform powering Mem0’s AI memory services. Build versioned, authenticated REST APIs; model data in PostgreSQL and graph databases; develop Python services and background jobs; optimize queries and caching; deploy containerized services on AWS and Kubernetes; and implement observability, SLOs, and alerting. Diagnose customer issues end to end, prevent recurring incidents, and collaborate with frontend and research teams to deliver reliable production features.

Lead technical assessment and development of jurisdictional REDD+ projects across the project lifecycle. Provide policy analysis, track methodologies (ART TREES, Verra), manage feasibility/advisory assignments, coordinate geospatial data and dMRV integration, prepare reports, and support business development and finance inputs for carbon monetization and project implementation.

Conduct market research and develop economic forecast models for low-carbon and renewable transportation fuels (LCFS, RFS, CFR). Analyze regulatory impacts, author market reports, collaborate with cross-functional teams, and support clients including investors, developers, and government agencies.

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.