Top Tech Jobs & Startup Jobs

Design, develop, and deploy GenAI applications using LLMs, RAG, and orchestration frameworks. Build prompt-based solutions, vector DB integrations, document ingestion and retrieval pipelines. Create scalable APIs and microservices, design testing strategies and synthetic datasets, and collaborate with AI architects, data engineers, and product stakeholders to deliver reliable, performant AI-powered business features.

Lead design, development, and deployment of enterprise Generative AI solutions: architect LLM-based systems, build orchestration pipelines, establish prompt governance and guardrails, implement RAG and vector search, optimize inference and benchmarking, and convert prototypes into production across AWS, GCP, and Snowflake.

Manage end-to-end recruitment: source candidates, screen resumes, coordinate interviews, maintain ATS and recruitment records, support onboarding and employer branding to ensure positive candidate experience.

Design and build production GenAI systems: LLM/agentic applications, end-to-end RAG pipelines, prompt engineering, APIs, and integrations with enterprise data platforms. Apply guardrails, evaluation, and collaborate with Data Engineering and MLOps to deploy, monitor, and scale reusable components and best practices.

Design and build production-grade LLM/GenAI applications using agentic patterns and end-to-end RAG pipelines. Implement prompt engineering, orchestration, APIs, and enterprise integrations. Collaborate with Data Engineering and MLOps to deploy, monitor, scale, and enforce guardrails, evaluation, and responsible AI practices while contributing reusable components and documentation.

Design, build, and optimize scalable AI-ready data pipelines on GCP and Snowflake. Ingest, transform, validate, and integrate structured data, create synthetic datasets, build APIs and backend workflows, and implement monitoring, CI/CD, and cost/performance optimizations to support AI and analytics solutions.

Lead analytics initiatives: analyze large datasets, build and maintain Power BI/Tableau dashboards and KPI scorecards, collaborate with stakeholders, ensure data quality, deliver ad-hoc analyses, manage multiple projects, mentor team members, and present insights to leadership to support strategic decision-making.

Lead and manage Accounts Payable, S2P, Helpdesk and service delivery operations. Oversee invoice processing, payments, coding/approvals, vendor onboarding/changes, query resolution, accruals reporting and forecasting. Drive continuous improvement, stakeholder communication, and support business decision-making using Oracle and Ariba.

Lead end-to-end transitions for client engagements, design and implement transition solutions, assess processes for re-engineering and offshoring, build transitions capability, support RFP solutioning, and lead select business development efforts while coordinating with internal teams and client stakeholders.

Lead end-to-end execution of data analytics and architecture projects. Manage a team of 3–4 data analysts, perform data assessment and gap analysis, drive data mapping and process automation, liaise with stakeholders, translate business needs into technical roadmaps, mitigate risks, and present progress and insights to senior leadership.