Top Tech Jobs & Startup Jobs in Pune

Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.

Lead and scale Retail & Consumer Goods consulting: drive discovery workshops, presales solutioning, strategic client advisory, author domain IP, and win large digital transformation deals across e-commerce, merchandising, and digital experience.

Manage end-to-end resource allocation and deployment, optimize bench utilization, forecast demand and build talent supply plans, drive internal mobility, partner with TA for external hires, and track utilization and deployment metrics.

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.