Top Tech Jobs & Startup Jobs in Delhi

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.

A referral submission form inviting people to share a friend's details and CV for future job matches. The employer will contact referred candidates when a suitable opportunity arises; applicants are asked to follow referral rules and guidelines.

Own, audit, validate, optimize, and modernize statistical models written in R. Build and deploy new predictive models and analytical features, improve production code quality, collaborate with data engineering, communicate technical findings to stakeholders, and mentor junior data scientists. The role requires advanced statistical modeling expertise, strong R proficiency, and experience improving complex algorithms.

Leads the transformation of software development into a governed AI-agentic lifecycle. Responsibilities include assessing SDLC automation readiness, designing agent orchestration architecture, implementing security and approval guardrails, selecting tooling, integrating CI/CD and code review systems, managing phased organizational rollout, training engineering teams, and reporting on ROI, risk, adoption, and operational outcomes.

Designs and implements web and API test automation frameworks, migrates automation to Playwright, integrates tests into CI/CD, and measures product quality. The role defines testing standards, develops functional UI and service-level tests, maintains testing infrastructure, conducts peer reviews, manages risks, documents strategies, reports quality outcomes, mentors team members, and advises QA teams. Requires strong JavaScript, testing methodologies, database, cloud DevOps, version control, and Agile expertise, with four hours of overlap with Central US hours.

Leads manual and automated testing across API, UI, regression, functional, and non-functional areas. Designs test plans, maintains test harnesses and environments, integrates automation into CI/CD pipelines, analyzes results, manages defects and testing risks, and leads UAT. The role also improves QA and release workflows, supports BDD practices, and mentors junior team members.

Industrialize a no-code trading intelligence proof of concept into production-grade Python services on Azure. Build and tune multi-agent AI systems using prompt logic, tool calling, RAG, orchestration loops, and Azure AI services. Develop human-in-the-loop recommendation workflows, implement automated testing with Pytest and CI integration, mock external APIs and data feeds, and create LLM evaluations to ensure end-to-end quality.

Source IT candidates by developing targeted sourcing strategies, using Boolean searches and recruiting platforms, conducting talent market research, reviewing profiles, and engaging prospective candidates through LinkedIn, GitHub, Stack Overflow, and professional communities. The role requires maintaining technical talent pipelines, presenting market insights, collaborating with recruiters, and managing multiple priorities while meeting deadlines.

Lead architecture for enterprise AI initiatives across products, platforms, and shared capabilities. Define AI architecture standards, reference patterns, governance, security, and operational guardrails. Guide solutions involving LLM applications, retrieval systems, agentic workflows, orchestration, evaluation, observability, and cloud-native platforms. Partner with business, product, and engineering leaders, influence strategic decisions, mentor technical teams, and support AI-enabled software development and platform modernization.

Lead the design, development, and delivery of scalable web applications using Node.js, TypeScript, React, AWS, Docker, and Kafka. Drive architecture, engineering standards, testing, CI/CD, cloud deployment, and quality practices. Mentor junior and mid-level engineers, collaborate with DevOps and cross-functional teams, and participate in technical hiring and interviews.