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AI Developer (Generative AI | LLM | AI Agents)
Build and integrate generative AI, LLM, and AI agent solutions into enterprise applications using Python, cloud APIs, and frameworks like LangChain.
Senior AI Engineer
Build and deploy enterprise-grade AI systems in Python/.NET, focusing on generative AI, RAG, and cloud-native AWS architectures while ensuring security and observability.
AI Engineer
Build autonomous AI agents that reason, plan, and execute workflows using Hermes Agent and MCP, integrating tools like vector DBs and workflow engines for HR tech.
Senior AI Automation Engineer
Design and build cloud-native AI platforms using LLM orchestration, vector search, and agentic workflows to automate complex business tasks and deliver measurable outcomes.
Senior AI Engineer (Agentic AI)
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
AI Engineer
Design and build end-to-end agentic AI systems for industrial and water-treatment operations, focusing on reliability, safety, and continuous deployment.
Senior AI Engineer — Enterprise AI & Multi-Agent Systems
Design and deploy enterprise AI systems, including multi-agent architectures and RAG pipelines, integrating LLMs with SAP and internal tools to drive logistics innovation.
AI Engineer II
Build and deploy AI-powered apps using LLMs, RAG pipelines, and Azure AI services. Engineer conversational agents, intelligent search tools, and enterprise integrations in a hybrid role.
AI Engineer
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
AI Engineer
Build and operate a self-hosted AI platform running open-weight models with privacy and safety controls, focusing on efficient inference, retrieval pipelines, agent workflows, and guardrails.
Generative AI Architect (Databricks & Agentic AI)
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
Senior Software Engineer, Agentic AI
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.
Senior AI Automation Engineer
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.
AI Engineer
Builds AI/LLM-powered applications like agents and chatflows for medical device companies using LangChain, vector DBs, and RAG pipelines.
Remote AI Engineer: Build Scalable AI Solutions
Build and deploy AI-powered features using LLMs and machine learning models, integrating them into scalable backend systems and APIs.
AI Engineer (Generative AI | RAG | AI Agents)
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.
Software Engineer - Applied AI
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.
AI Application Developer
Build and deploy AI-driven applications and agents using Microsoft Copilot Studio, Azure OpenAI, and Azure AI Services to solve real business problems in a Microsoft enterprise environment.
XTN-C475548 | AI + DATA ENGINEER
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
Senior Data Engineer (AWS & Snowflake)
Design and build cloud-native data pipelines and AI solutions using AWS and Snowflake, ensuring scalable, secure, and high-performance data infrastructure for analytics and AI initiatives.