Top Tech Jobs & Startup Jobs in Pune

Owns the strategy, prioritization, and delivery of AI-enabled product capabilities. Gathers requirements, manages stakeholders, writes business requirements and user stories, maintains the product backlog, defines acceptance criteria, and leads Agile ceremonies and UAT. Evaluates AI/ML use cases for feasibility, value, risk, data quality, explainability, and compliance while partnering with engineering and data science teams. Monitors post-launch performance and iterates based on feedback and product metrics.

Conduct full-cycle US recruiting, including sourcing, screening, interviewing, testing, reference checks, job postings, candidate communications, job fairs, and requisition closure. The role manages high-volume hiring, partners with hiring managers, uses recruiting platforms and AI tools, supports employer branding, and recruits for financial services, wealth management, or FinTech positions. It requires expertise in US visa categories, advanced sourcing techniques, Workday or similar ATS platforms, Excel, and communication across US business hours.

Leads enterprise IT Asset Management governance across hardware, software, cloud, and technology assets. Oversees asset lifecycle controls, inventory accuracy, CMDB alignment, software license compliance, audit readiness, risk remediation, reporting, and cost optimization. Partners with technology, finance, sourcing, risk, legal, cybersecurity, and audit teams to improve governance, data quality, automation, and lifecycle processes. Serves as a subject matter expert and develops standards, dashboards, metrics, controls, and executive reporting.

Designs and leads scalable AI platform infrastructure, agent frameworks, orchestration layers, backend services, APIs, and cloud deployments. Optimizes LLMs and fine-tunes small language models using techniques such as quantization, distillation, RAG, caching, and prompt optimization. Implements MCP integrations, supports enterprise multi-agent workflows, evaluates emerging AI tools, partners with stakeholders, mentors engineers, and establishes engineering standards.

Supports development and maintenance of core AI infrastructure, including AI agents, LLM and prompt optimization, backend services, APIs, cloud deployments, and MCP integrations. Writes tested Python code, troubleshoots infrastructure, participates in code reviews and sprint planning, and documents technical processes. Requires Python, AI agent, LLM, backend, AWS, and MCP knowledge, plus a bachelor's degree and at least three years of experience.

Leads hands-on development of scalable data engineering solutions using Python, Snowflake, Snowpark, and AWS. Designs serverless applications, stored procedures, and orchestrated DAG-based pipelines; optimizes performance and resolves production issues. Provides architectural guidance, establishes engineering standards, mentors engineers, collaborates with stakeholders, and contributes to platform modernization and technical roadmaps.

Acts as a liaison among engineering, operations, and business stakeholders to execute product strategy. Manages and prioritizes the product backlog, creates user stories with Product Managers, and authors product lifecycle documentation including roadmaps, business requirements, and functional specifications. Participates in sprint planning, modernization and integration efforts, market research, competitive analysis, and iterative product development.

Develops and maintains business continuity, disaster recovery, crisis management, and contingency plans. Conducts business impact analyses, coordinates testing and emergency response, monitors compliance and readiness, reports exercise results, supports audits and regulators, and helps deliver continuity training and communications.

Lead the design, development, deployment, and optimization of production-grade Generative AI systems. Build RAG pipelines, fine-tune foundation models, develop AI agents, establish evaluation and observability frameworks, and integrate multimodal AI capabilities. Collaborate with product, engineering, data, and business stakeholders to deliver scalable, reliable, secure, and responsible AI solutions.

Performs routine accounting activities under supervision, including preparing journal entries, financial statements, account reconciliations, and accounting schedules. Supports monthly and quarterly close and consolidation processes, verifies invoices and financial records, maintains general ledger and reconciliation reports, and researches the impact of accounting and regulatory standards. Ensures accurate financial reporting and compliance with applicable laws, regulations, and accounting principles.