Top Artificial Intelligence Jobs in Pune

Develop and optimize small language models using Hugging Face, TRL, LoRA, QLoRA, and PEFT. Build MLOps pipelines, optimize models through quantization and distillation, deploy them to edge and mobile environments, and monitor production performance. Evaluate model quality with benchmarking frameworks and custom evaluation suites while meeting strict latency and hardware utilization targets.

Develop backend services integrating generative AI models to transform project descriptions into structured task lists. Build React and TypeScript frontend components allowing users to enter ideas, review, edit, add, delete, and reorder generated tasks. Implement RESTful APIs, file processing, error handling, prompt engineering, and task decomposition logic for the AI Task Master MVP.

Design and build reinforcement-learning training environments and diverse tasks to evaluate and improve LLM agents; iterate rapidly on task designs from customer feedback, deliver high-quality outputs with minimal supervision, and maintain PST overlap for collaboration.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG applications using Python and AWS Bedrock. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions through AWS, Docker, and Kubernetes, and manage CI/CD. Design databases and automated ETL pipelines, collaborate with cross-functional teams, document workflows, and communicate AI concepts to stakeholders.

Lead enterprise AI strategy, design scalable AI solutions (LLMs, agentic AI, federated learning), evaluate emerging technologies, establish AI governance/Responsible AI, drive XAI adoption, collaborate with stakeholders, and implement advanced generative and orchestration solutions.

Lead the architecture and implementation of a production-grade generative AI media platform. Build reproducible, versioned pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, deploy internal tools, and partner with design to own the technical roadmap and enable creative teams.

Develop, deploy, and scale AI/ML and generative AI solutions for a fintech platform. Design data models and pipelines, build agentic frameworks, integrate OCR and vector DBs, implement RAG, and champion MLOps and cloud deployment practices while mentoring teammates.

The role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Lead global sourcing and vendor management for HPC and sovereign AI infrastructure. Drive contract negotiations, mitigate semiconductor supply risks, align procurement roadmaps with engineering, and ensure delivery of integrated components (GPUs, NVIDIA Grace, NVLink, InfiniBand, ConnectX-8) while meeting compliance and sovereignty requirements.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

Evaluate and annotate physics content, create problem sets and technical documentation, and assess AI-generated responses for scientific accuracy. Contribute to dataset creation and provide expert feedback to improve AI model training. Collaborate remotely with project teams to ensure timely, high-quality deliverables and improve evaluation methodologies.

Contractor engineering SME to review and create technical engineering content for AI training: analyze documentation, develop examples and datasets, evaluate AI outputs for technical accuracy, and collaborate with teams to improve model performance and processes.

Contractor role to create original, high-quality financial documents (reports, analyses, models) with rich visuals (tables, charts, graphs) to train AI. Ensure accuracy, anonymize sensitive data, contribute long-form documents (10–100 pages), and clarify submissions as needed.

Remote contractor role to create and evaluate mathematical problems, proofs, and datasets to train and improve AI models. Assess AI-generated solutions for correctness, produce technical documentation, and collaborate with cross-functional teams to develop benchmark datasets and provide actionable feedback to improve model reasoning.

Gather and analyze stakeholder requirements and translate them into ServiceNow AI solutions (Virtual Agent, Predictive Intelligence, Now Assist). Collaborate with technical teams to implement AI-driven automation and agentic solutions, optimize workflows, monitor system performance, train users, and drive adoption while ensuring clear communication between business and technical stakeholders.

Lead end-to-end product design for web and AI-driven experiences, create high-fidelity UI and prototypes in Figma, collaborate with frontend engineers (React + Tailwind CSS), evolve the design system, conduct user testing, and integrate AI-driven interactions while working remotely with cross-functional teams.

Lead development of GenAI and LLM-powered applications using Python, LangChain/LangGraph and FastAPI. Design scalable cloud-ready microservices, integrate LLMs (AWS Bedrock/OpenAI), implement prompt engineering, and build interactive frontends with Angular/JavaScript. Ensure AWS-based deployment and database integration (SQL/NoSQL).

Design and lead enterprise-grade AI and Gen-AI integrations using the MCP (Model-Context-Prompt) framework. Architect LLM integrations, define prompt engineering and context strategies, evaluate models, design scalable secure solutions, oversee deployment/monitoring/optimization, mentor development teams, translate business needs into technical designs, and provide night-shift production support.

Lead architecture, design, and governance for enterprise-scale AI solutions on the ServiceNow platform, implementing Now Assist, Virtual Agent, Agentic AI, predictive and task intelligence, integrations, and AI governance frameworks.

Design and implement AI/LLM-driven data extraction and ETL pipelines, build web crawling and API integrations, implement RAG systems, mitigate LLM hallucinations, evaluate third-party tools, and collaborate with content and analytics teams to deliver high-quality, scalable data for downstream analysis.

Lead design and implementation of enterprise-scale generative AI and agentic systems. Architect multi-agent orchestration, RAG and inference pipelines, fine-tuning/quantization strategies, integrations (APIs, webhooks, connectors), and secure data/model management. Optimize deployments across cloud, edge, and on-premises while establishing evaluation, selection, and lifecycle practices.

The Forward Deployed Senior Software Engineer will lead initiatives in building custom solutions and algorithms for healthcare data, collaborating with various teams to enhance customer experience and project delivery.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.