AI Engineer

Meltwater

. Build AI Agents from scratch, including reasoning loops, memory management, tool calling, and state handling .

Posted 11/4/2026full-timeHyderabad • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and integrating AI agents, with a strong focus on multi-agent systems, workflow automation, and tool integration. Proficient in Python and familiar with various AI frameworks and cloud platforms to optimize agent performance and security.

Highest-signal resume keywords

AI Agent DevelopmentPython ProgrammingMCP Server IntegrationSlack Bot DeploymentRAG Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DevelopmentPython ProgrammingMCP Server IntegrationWorkflow AutomationTool IntegrationRAG ArchitecturesVector DatabasesEvent-Driven ArchitecturesPrompt EngineeringError Handling

Tools & Technologies

Slack APIsKubernetesDockerAWSAzureGCPSnowflake CortexSnowparkGitCI/CD

Certifications & Qualifications

Snowflake Certifications

Industry Keywords

Multi-Agent SystemsAgent WorkflowsAI SecurityGovernanceObservability

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonReactServiceNowSnowflakeSQL

About the role

Key responsibilities & impact

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 for task delegation, agent communication, and failure recovery
Implement planning and reflection patterns such as ReAct and Plan-and-Execute
Design agents for long-running, multi-step workflows with human-in-the-loop checkpoints
Build and maintain MCP servers and clients from the ground up
Integrate MCP servers into agent runtimes to expose enterprise tools, APIs, and data sources
Design reusable MCP tooling layers with secure, governed access
Integrate agents with Jira, Salesforce, Slack, Notion, GitHub, ServiceNow, internal APIs, databases, and SaaS platforms
Build tool-calling interfaces, error handling, retry logic, and an internal runtime tool registry
Design end-to-end agentic workflows and automation pipelines
Implement event-driven triggers across enterprise systems and data streams
Optimize workflows for reliability, observability, and cost efficiency
Deploy AI agents as interactive Slack bots and workflow apps
Build Slack surfaces including slash commands, modals, home tabs, and message actions
Implement conversational Slack interfaces with thread context retention
Surface insights, alerts, and task updates proactively in Slack channels
Implement RAG architectures, vector pipelines, embeddings, and retrieval systems
Integrate Snowflake Cortex and Snowpark for agent memory and structured data access
Implement prompt injection defenses, access controls, data leakage prevention, RBAC, and audit logging

Requirements

What you’ll need

5+ years of software or AI engineering experience
Proven experience building AI Agents from the ground up
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 with async, event-driven, and API-heavy architectures
Experience with tool-calling patterns, function routing, and agent-tool error handling
Solid understanding of LLM behavior, context windows, and prompt engineering
Experience with RAG architectures and vector databases
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 LLMs
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 are a plus
Technical skills in agentic AI, MCP server/client development, tool integration and function calling, Slack Platform/Bolt SDK/Block Kit/Slack APIs, Python, RAG, vector databases, Snowflake Cortex/Snowpark/SQL, AI security and governance, cloud platforms, Git, CI/CD, and DevOps

Benefits

Comp & perks

Flexible paid time off
Employer contributions toward Discovery Health healthcare coverage
Complimentary CalmApp subscription for you and your loved ones
Hybrid work style
Family leave program that grows with tenure
Ongoing professional development opportunities
Inclusive community and energetic work environment