Top Artificial Intelligence Jobs in Pune

The Software Development Engineer in Test (SDET) designs and maintains automation frameworks using Microsoft Playwright, integrates AI tools for test generation, and performs API testing while collaborating with a global team.

Develop agentic AI and multi-agent reasoning systems; design scalable, reusable frameworks and components; write maintainable Python and Java code; integrate AI/ML frameworks (OpenAI, LangChain, LlamaIndex); deploy solutions on cloud platforms (Azure/AWS/GCP); collaborate with international teams to productionize autonomous intelligent systems.

Build and scale production-ready AI and multimodal systems, design integrations between LLMs/VLMs, tools and microservices, optimize prompts and inference costs, implement observability/testing, apply Responsible AI, translate ambiguous requirements into specs, and mentor engineers toward AI-first engineering practices.

As a Senior Software Engineer at Sophos, you'll design and manage AI-driven firewall systems, focusing on enhancing automation, security, and compliance while taking ownership of end-to-end distributed systems.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

The AI Engineer will develop, implement, and maintain AI systems and algorithms, ensuring data quality and deploying models in production. They will collaborate with teams to build data pipelines and ensure AI solutions meet requirements.

The AI Product Specialist assists users with Pattern's AI products, providing training, troubleshooting, and documentation to enhance product adoption and effectiveness.

Build and maintain BigQuery data pipelines, map warehouse schemas, and craft SQL to feed LLMs. Develop Claude Skills and Gemini Gems, collaborate on prompts, validate AI outputs, and design AI agents to automate eCommerce analytics and operational workflows.

Annotate and review multimedia data (video, images, metadata) using detailed labeling guidelines; perform self-QA, participate in calibration, track issues, support quality workflows, and coordinate with stakeholders to meet throughput and quality targets.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Design, build, and scale no-code/low-code automation workflows and AI agents across business functions. Analyze processes, integrate systems via APIs/webhooks, implement OpenAI/Claude-powered solutions, build decision and scoring frameworks, deliver client-facing automation projects, and produce documentation and reusable playbooks to improve operational efficiency.

Lead product strategy, roadmap, and market launch for agentic AI solutions. Collaborate cross-functionally to define requirements, validate features, integrate with ServiceNow, drive POCs and production rollouts, and measure ROI and IP/services revenue.

Design and build end-to-end AI solutions: architect data pipelines, deploy and fine-tune LLMs (RAG/vector DB), implement MLOps (CI/CD, monitoring), create visualizations and ROI-driven model evaluations, educate customers, mentor teammates, and share learnings publicly.

Develop and maintain scalable Python/Django backend systems, integrate and deploy generative AI models (LLMs, embeddings, vector DBs), collaborate with data scientists on model fine-tuning, work with APIs, microservices and databases, optimize performance and security, and research emerging AI/ML tools.

Develop and maintain scalable Python/Django backends integrated with LLMs and AI workflows. Implement APIs, data pipelines, and Agentic AI orchestration. Collaborate with product and ML teams to deploy, optimize, and ensure reliability of AI-driven applications.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Execute fashion design briefs using Raspberry AI to produce flats, tech packs, colorways, prints, mood boards, and concept visuals. Translate creative direction into precise prompts, iterate on feedback, maintain brand-consistent quality, document workflows, flag platform issues, and partner with US Customer Success for intake and delivery under tight turnarounds.

Design and build production LLM-based agent systems, governance knowledge pipelines, hybrid retrieval and evaluation frameworks, and platform infrastructure. Implement behavioral shaping, observability, and constraints to ensure agents align with governance and compliance requirements, collaborating with product and data teams.

The role involves developing AI-powered web applications using frontend and backend technologies, integrating LLM solutions, and deploying cloud-native applications.

Provide technical consulting and project leadership to implement, configure, and optimize Zendesk AI solutions. Drive adoption, change management, and measurable customer outcomes by building success plans, using analytics to predict churn/expansion, and delivering projects on time while collaborating across Sales and Customer Success.

Lead design, training, and fine-tuning of large-scale ML/DL models (LLMs and generative systems) for drug discovery. Build scalable training pipelines, data pipelines, and production-ready model deployments; collaborate with engineering teams; translate research into applied AI solutions and continuously improve model performance and reproducibility.

The role involves creating SEO, CRO, and GEO-optimized content for the Australian market, leveraging AI tools and ensuring high editorial quality for improved organic traffic and conversions.

Lead an AI-first transformation of procurement operations: assess Source-to-Pay maturity, design automation and LLM data governance, select and deploy S2P and CLM technologies, implement RPA/ML solutions, enable high-fidelity spend categorization and supplier compliance automation, and drive stakeholder integration and change management with IT and executive leadership.