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Build and maintain full-stack web apps and internal systems using React/Vue for front-end and FastAPI/Spring Boot for back-end, with PostgreSQL/MySQL databases.
Builds AI-augmented developer tools using .NET, Python, and cloud services, integrating LLMs and vector databases to speed up software delivery and improve workflows.
Designs, builds, and deploys AI-powered applications using LLMs and Azure AI Foundry, focusing on prompt engineering and API integrations.
We are seeking a Sales AI Integrator to design, implement, and optimize AI-driven systems that enhance our sales operations. This role bridges the gap between sales strategy, automation, and AI tools, ensuring our…
A leading global law firm is seeking a Manager of AI & ML Applications to help shape and drive its AI strategy. This is a hands‑on leadership role for someone who can balance immediate implementation with long‑term…
Build and deploy AI-powered coding agents and agentic frameworks using Python, TypeScript, and React; own cloud deployments, CI/CD, and quality assurance for AI-generated code.
Build and deploy AI agents that automate financial workflows using Python, LLM APIs (Claude/OpenAI), and Microsoft ecosystems; focus on production-grade, secure, and scalable solutions.
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
Build and deploy AI systems using LLMs to automate enterprise processes, including agentic solutions and evaluation frameworks for reliability.
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Designs and builds AI-driven finance automation systems, including agentic AI for workflows and ML models for forecasting, while setting technical standards and governance for Finance.
Build next-gen AI-powered security tools by designing multi-agent systems in Python, integrating with security tools via MCP, and developing RAG pipelines for autonomous pentesting and remediation.
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Build and scale backend services for an AI-first used-car marketplace, integrating LLMs into microservices and optimizing distributed systems.
Build AI-powered agents and RAG applications using vector databases and orchestration frameworks to automate tasks and deliver data-driven insights for commodity markets.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Build AI agents and integrations that connect DevRev’s platform with customers’ tools using TypeScript, Python, and APIs; deploy serverless functions and optimize RAG pipelines for real-time workflow automation.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
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