Top Tech Jobs & Startup Jobs in Chennai

Design, develop, and deploy generative AI agents and end-to-end ML pipelines. Lead prompt engineering, LLM integration, model training, and productionization, collaborating with customers and stakeholders to deliver AI solutions.

Leads sales operations and executes strategies to achieve revenue targets. Manages the full sales cycle, develops new business, expands customer relationships, drives gift voucher sales, monitors pipeline performance, prepares forecasts, and coordinates fulfillment. The role also develops sales presentations, analyzes market trends, maintains high customer service standards, and may mentor sales team members.

Configure, administer, and support Oracle OSS platforms including OSM, UIM, ASAP, SOM, and Design Studio for telecom service fulfillment. Manage provisioning, order management, inventory workflows, integrations, automation, releases, upgrades, deployments, monitoring, troubleshooting, and root cause analysis. Collaborate with network and enterprise integration teams to maintain SLAs and support transformation initiatives across FTTx, 5G, mobile, and fixed services.

Develop and execute sales strategies, generate and qualify prospects, manage direct sales through negotiation and closing, maintain a sales pipeline, achieve revenue targets, and build long-term customer relationships. The role includes presenting solutions, tracking sales performance in CRM systems, identifying upsell and cross-sell opportunities, monitoring market trends, and collaborating with marketing, product, customer success, and operations teams.

Manage a portfolio of 40–50 clients to drive retention, renewals, upsells and measurable revenue growth. Serve as primary client contact, run onboarding/coaching/reviews, analyze funnels to identify gaps, coordinate with internal teams and subject-matter experts, monitor account health, and meet monthly growth targets.

Design and build the core backend and platform systems from scratch; set architecture, infrastructure, data and tooling standards; implement reliable LLM agents and RAG solutions over organizational data; own high-impact projects end-to-end and operate systems at scale in an early-stage, high-autonomy engineering role.

Evaluate and improve AI-generated fund-related legal work by drafting, reviewing, negotiating, and redlining fund documents; develop evaluation frameworks and scoring rubrics; collaborate with product, research, and engineering teams to refine AI training data and legal guidelines; identify contractual risks and provide expert legal feedback.

Part-time contractor M&A attorney to draft, review, negotiate, and redline transaction documents; evaluate AI-generated legal outputs; develop evaluation frameworks and scoring rubrics; provide subject-matter expertise to improve AI training data and legal analysis; collaborate with product, research, and engineering teams to refine legal guidelines and best practices.

Part-time contractor role evaluating and training AI for contract review. Draft, review, negotiate, and redline commercial technology agreements; assess AI-generated contract responses; develop evaluation criteria and scoring rubrics; collaborate with product, research, and engineering teams to improve AI legal workflows and identify contractual risks.

Design, build, and deploy production-grade LLM, RAG, and agentic AI systems. Implement document intelligence pipelines, use LangChain/LangGraph/LlamaCloud, manage embeddings and vector DBs, and scale services on AWS/GCP/Azure with strong ownership.