M

Meltwater

Global media intelligence platform for monitoring

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • Five or more years of software or AI engineering experience.
  • Proven experience building AI agents from the ground up, rather than only configuring frameworks.
  • Hands-on experience integrating MCP servers and clients into agent systems.
  • Experience designing and deploying agentic workflows and multi-step automations.
  • Experience building and deploying Slack bots or Slack-integrated AI applications.
  • Strong Python skills, including asynchronous, event-driven, and API-heavy architectures.
  • Experience with tool-calling patterns, function routing, and agent-tool error handling.
  • Solid understanding of large language model behavior, context windows, and prompt engineering.
  • Experience with retrieval-augmented generation architectures and vector databases.

Responsibilities

  • Build AI agents from scratch, including reasoning loops, memory management, tool calling, and state handling.
  • Design and implement multi-agent systems with defined roles, handoffs, and coordination logic.
  • Build agent orchestration layers to manage task delegation, agent communication, and failure recovery.
  • Implement planning and reflection patterns such as ReAct and Plan-and-Execute for autonomous task completion.
  • Design agents capable of handling long-running, multi-step workflows with human-in-the-loop checkpoints.
  • Build and maintain Model Context Protocol servers and clients from the ground up.
  • Integrate MCP servers into agent runtimes to expose enterprise tools, APIs, and data sources as callable context.
  • Design reusable MCP tooling layers that agents can dynamically discover and invoke.
  • Ensure secure, governed access when agents interact with internal systems via MCP.
  • Integrate agents with enterprise tools including Jira, Salesforce, Slack, Notion, GitHub, and ServiceNow.
  • Build robust tool-calling interfaces, error handling, and retry logic for agent-tool interactions.
  • Connect agents to internal APIs, databases, and SaaS platforms via structured integration frameworks.
  • Develop and maintain an internal tool registry accessible by agents at runtime.
  • Design end-to-end agentic workflows that automate complex, multi-step business processes.
  • Build automation pipelines that route tasks intelligently across agents, tools, and human reviewers.
  • Implement event-driven agent triggers integrated with enterprise systems and data streams.
  • Optimize workflows for reliability, observability, and cost efficiency.
  • Deploy and expose AI agents as interactive Slack bots and workflow apps.
  • Build Slack surfaces, including slash commands, modals, home tabs, and message actions, that connect users to agent capabilities.
  • Implement conversational agent interfaces in Slack with context retention across threads.
  • Enable agents to proactively surface insights, alerts, and task updates within Slack channels.
  • Implement retrieval-augmented generation architectures to ground agents in enterprise knowledge bases.
  • Build vector pipelines, embeddings, and retrieval systems that agents query at runtime.
  • Integrate Snowflake Cortex and Snowpark as a data backbone for agent memory and structured data access.
  • Implement prompt injection defenses, access controls, and data leakage prevention within agent pipelines.
  • Design role-based access control and audit logging for all agent actions and tool invocations.
  • Ensure agents operate within defined security and compliance boundaries.

Desired Qualifications

  • Experience with agent frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel.
  • Experience with Snowflake Cortex or Snowpark for AI workloads.
  • Familiarity with OpenAI, Anthropic, Gemini, or open-source large language models.
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
  • Experience with Kubernetes, Docker, and cloud platforms such as AWS, Azure, or GCP.
  • Experience with AI observability, tracing, and evaluation frameworks.
  • Snowflake certifications.

About the Company

Meltwater

Global media intelligence platform for monitoring

Meltwater provides a global intelligence platform for PR, communications and marketing, combining media monitoring, social listening, influencer management, media relations, and AI visibility tracking. It collects and analyzes over 1 billion pieces of content daily from news outlets and social platforms, turning coverage and conversations into actionable insights via dashboards and reports. Its breadth of cross-channel capabilities and a worldwide footprint differentiate it from niche monitoring tools, offering an integrated view of media, influencer activity and AI portrayals. The goal is to help teams understand and respond to news, conversations and AI representations, turning signals into data-driven strategies for reputation, campaigns and influencer programs.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$300M
Headquarters
San Francisco, CA
Founded
2001

Recently Posted Jobs

Explore more opportunities at Meltwater

See more jobs