Top Tech Jobs & Startup Jobs in Pune

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Responsibilities include developing LLM, RAG, and agentic applications; creating document processing and evaluation pipelines; implementing security, governance, and audit controls; partnering with legal, IT, and data teams; and mentoring legal users on AI tools. The role requires technical leadership across software engineering, data science, legal operations, and enterprise AI infrastructure.

Design and detail pressure vessels and related piping/skid systems per customer requirements and standards. Work cross-functionally to ensure safety, manufacturability, and compliance; support technical meetings, troubleshooting, and supplier/customer coordination.

Develop and support secure IoT software applications, APIs, and UIs; build dashboards, ETL/data workflows, and analytics; enable ML/AI capabilities; maintain and modernize legacy code hosted on AWS.

Lead design, build, and operation of secure, scalable cloud and IoT platforms. Implement IaC and reusable CI/CD, support real-time telemetry ingestion, microservices, edge and industrial integrations, modernize legacy components, and ensure deployment reliability, security, and observability for connected product environments.

Lead global category strategy and execution for IT, Fleet, and Travel. Manage sourcing, contracting, supplier relationships, spend analytics, cost savings, and cross-functional stakeholder engagement. Support process implementation, vendor management, and escalation; travel up to 25%.

Design, build, and deploy autonomous agents with Agentforce; develop and maintain Apex, Lightning Web Components, Flows and APIs; integrate Salesforce (Sales/Service/Data Cloud) with external systems (ERP) via REST/SOAP; advise stakeholders on AI use cases, conduct code reviews, troubleshoot, and ensure governance and adoption.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.