Top Artificial Intelligence Jobs in Pune

Design, build, and operationalize scalable enterprise cloud services using Python (or Java/NodeJS/Ruby), FastAPI/Django, React/TypeScript, GraphQL, event-driven and streaming architectures. Lead CI/CD, Terraform modules, performance testing, release management, and safe LLM/GenAI integrations while advising management and enforcing responsible AI practices.

Build production-grade agentic AI systems that reason, search, and execute workflows. Develop RAG pipelines, AI agents, semantic search layers, data processing solutions, dimensional data models, and scalable AI workloads. Work with structured and unstructured data, LLMs, vector databases, cloud infrastructure, CI/CD, and ML observability. Responsibilities include fine-tuning models, prompt engineering, optimizing context windows, and deploying reliable AI applications.

Develop and deploy AI/ML models using Python. Focus on model development, production deployment, and collaborating with cross-functional teams. Communicate findings, solve technical problems, and work in a fast-paced environment. React and TypeScript experience and AI security/risk familiarity are nice-to-haves.

Lead enterprise AI strategy and productization for research transformation: scope, develop, test, and scale AI tools/agents, advise clients, vet third-party tools, create documentation and upskilling materials, and present outcomes to senior leadership.

Lead full-stack development using Python and FastAPI; build high-performance APIs integrated with AWS (SQS, Lambda). Implement front-end using React/Angular, manage Mongo/MySQL/Oracle databases, integrate AI features via prompt engineering and GitHub Copilot/Cursor, optimize performance, apply DevOps/CI-CD, troubleshoot and collaborate in Agile/Scrum with Jira and Git.

Design and lead GenAI and agent-based AI solutions for large-scale modernization programs. Define prompt engineering, orchestration, validation, guardrails, and human-in-the-loop workflows. Apply AI to legacy systems (COBOL, HP NonStop, C++) for code comprehension, dependency mapping, documentation, and test generation. Collaborate with solution and platform architects, work in Agile sprint-based delivery, and guide distributed offshore/onshore teams.

Design, build, and deploy production-grade AI automation and agentic workflows for payments processes (reconciliations, audit and reporting). Integrate AI systems into operational pipelines to automate high-effort financial operations while preserving control, audibility, and reliability.

Serve as the technical pre-sales architect for regional AI PODs: design end-to-end AI architectures (GPU clusters, networking, storage, MLOps, inference), validate solutions with NVIDIA and cloud partners, lead technical discovery and proofs-of-concept through the ATC, and ensure clean handoff to delivery while driving deal momentum.

Design, build, test and deploy scalable, secure Java Spring Boot microservices and React/TypeScript front-ends. Implement AWS cloud-native solutions, IaC, CI/CD, observability, automated testing, and lead technical investigations. Drive safe AI-assisted engineering practices, mentor engineers, participate in architecture and agile delivery, and reduce technical debt.

Design, build, and deploy scalable AI/ML solutions using Azure OpenAI and related Azure services; lead end-to-end projects, implement RAG and LLM integrations, ensure CI/CD and secure API/data practices, and collaborate across global teams.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Design and deploy agentic AI systems for logistics: architect multi-agent workflows, build retrieval pipelines and tool integrations, own agent lifecycle from discovery to production, implement guardrails/evaluation/logging, and deliver lightweight monitoring interfaces while embedding with business teams.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

The Partner AI Deployment Engineer will guide AWS engagements, shape technical strategy, build AI architectures, and mentor partners to drive successful AI deployments.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

The Principal Product Manager for Agentic AI Platform will lead the AI strategy and lifecycle, define capabilities, and ensure collaboration for scalable AI solutions in enterprise SaaS.

Invite software agencies and engineers to connect Git repositories for evaluation and potential licensing for AI training. Platform measures source-code and Git-history token volume, provides estimated licensing value and quality feedback, and pays contributors when repositories are used under license. Must own or have authority to license code and meet platform quality and legal requirements.

Provide senior accounting and finance advisory for SMBs: analyze financial data, answer complex accounting questions, review QuickBooks Online records, recommend bookkeeping workflows, reconciliations, and reporting, and advise owners and finance stakeholders.

Design, build, and deploy end-to-end agentic AI and LLM applications and predictive ML models for enterprise customers. Own full lifecycle from data exploration and model development to APIs, MLOps/LLMOps pipelines, and production deployment across cloud and on-prem. Implement guardrails, evaluation frameworks, and monitoring. Work directly with customers, contribute to pre-sales proofs-of-concept, and collaborate with cross-functional teams to deliver production-grade, secure, and maintainable AI solutions.

Maintain and optimize production LLM/VLM services and microservices (Flask/FastAPI), manage async queues, deploy and monitor Uvicorn/Gunicorn hosts, integrate LLM routing tools, design prompt strategies, build feedback/evaluation pipelines, expose secure REST APIs, and track token usage, latency, and errors to ensure SaaS-grade AI performance.

We are seeking a Senior Developer for automation and analytics projects, focusing on integration processes using Dell Boomi and Workato. Responsibilities include solution development, documentation, and client relationship management in both cloud and on-premise environments.