Top Artificial Intelligence Jobs in Pune

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

Design, build, test, and ship production AI-enabled software and reusable platform components. Integrate AI services, APIs, retrieval patterns, and business logic. Collaborate with U.S. partners, write tests, participate in code reviews and on-call rotation, debug production issues, and mentor junior engineers.

Serve as the bridge between client leadership and engineering to identify high-value AI opportunities, map current processes, design future-state solutions, write implementation-ready specifications, prioritize initiatives, align stakeholders, and stay close to builds to ensure delivered systems match business goals. Requires fluent Spanish and English and rapid, iterative delivery.

Work with customers and the SF product team to gather requirements and implement end-to-end AI solutions. Normalize, transform, visualize data, build integrations with external APIs, and deliver practical automation and product feedback. Role is customer-facing and requires technical problem-solving and fast execution.

Remote product associate who partners with customers to discover business needs, design and implement AI-powered solutions end-to-end, and deliver production-ready implementations working closely with the SF product team. Role is customer-facing, involves live meetings and offline solution-building, and supports part-time or full-time engagement across Europe and the Americas.

Lead innovation and process improvements in testing, integrate AI into QA practices, perform automation scripting, and mentor Quality Engineers.

Work across growth, funnel analytics, user research, product QA, competitive market analysis, and ad hoc operational tasks. Own outbound/paid campaigns end-to-end, identify funnel drop-offs, run user interviews, test product releases, and drive fixes and launches.

Design scalable, secure Enterprise AI and GenAI solutions and reusable architecture patterns; integrate AI with ERP/CRM/manufacturing and data platforms; lead AI governance, validation, delivery lifecycle, vendor-led implementations, and adoption initiatives in regulated MedTech and manufacturing domains.

Lead architecture and engineering for multi-agent LLM systems: design orchestration, build reusable agent components, set CI/CD and deployment standards, evaluate LLM providers, mentor senior engineers, and produce operational runbooks and documentation for agentic AI deployments.

Design, build, and deploy AI-driven web applications using the MERN stack. Integrate ML/AI models (NLP, LLMs, embeddings, recommendations) into frontend/backends, implement REST APIs, optimize performance and security, collaborate with data scientists, and maintain reusable UI components and CI/CD workflows.

Design and architect AI/ML solutions on GCP, lead end-to-end AI projects, build scalable data pipelines and training workflows, advise on governance/security, optimize performance and cost, collaborate with engineers/data scientists/stakeholders, and provide technical leadership and mentorship.

Lead architecture and engineering for multi-agent LLM systems, build agent components and orchestration pipelines, set engineering standards, mentor senior engineers, evaluate LLM providers, and produce operational runbooks and deployment patterns for client implementations.

Architect and implement enterprise AI solutions using Databricks AI Gateway and related cloud AI services; design agentic AI workflows, ensure model governance, observability, and integration across hybrid environments; mentor junior architects and support sales pursuits and proofs of concept.

The AI Livestream Specialist will design and execute livestream experiences using generative AI, managing collaborations and enhancing production quality while staying updated on trends.

Design, build and deploy AI agents, automation workflows and system integrations using Azure AI, OpenAI and Microsoft Power Platform. Automate business processes, create dashboards and data pipelines, integrate Microsoft Business Central/SharePoint/365 with third-party systems, and lead projects from requirements through deployment and user training.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

Build data integrations and tooling that combine CRM, product telemetry, support, billing, and other signals to provide GTM teams with context, automation, and real-time augmentation. Enable account prioritization, allocation, and funnel conversion tracking to increase revenue and save time across sales, marketing, growth, and customer success.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Work on a TypeScript full‑stack product (Next.js/React) with an AI pipeline using Anthropic Claude, real‑time collaboration (Liveblocks/Yjs/Tiptap), and Cloud Run background jobs. Build UI features, improve AI agent prompts/schemas/output rendering, write and maintain unit tests, read docs to unblock yourself, and grow to own product slices.

Transcribe unscripted Odia conversations verbatim for AI speech model training, preserving natural speech features, tagging audio issues, following project guidelines, meeting 97%+ accuracy and TATs, and incorporating QA feedback.

Transcribe unscripted English multi‑speaker conversations verbatim, preserving fillers and disfluencies; identify audio issues and code‑switching; follow project guidelines to meet 97%+ accuracy and TATs; incorporate QA feedback and tag intelligibility/overlap/noise.

Transcribe verbatim Hindi conversational audio, preserving fillers, stutters, and code-switching. Tag unintelligible or overlapping speech, follow project formatting, maintain 97%+ accuracy, meet TATs, and revise work per QA feedback.

Design and build internal AI productivity tools and LLM-powered applications to augment developer workflows. Integrate AI into the software development lifecycle, apply techniques like prompt engineering, RAG, and agents, partner with engineering teams to identify bottlenecks, and continuously evaluate emerging AI technologies to improve internal platforms and engineering efficiency.

The role seeks an AI Lead to drive Generative AI and Computer Vision projects, focusing on precise visual transformations and model training while mentoring engineering teams in best practices.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.