AI Engineer*

Meltwater

Hyderabad

Híbrido

INR 4 000 000 - 7 000 000

Tempo integral

Há 8 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Flexible PTO
Health coverage (Discovery Health)
CalmApp subscription
Hybrid work style
Family leave program
Professional development opportunities

Resumo da oferta

Meltwater Hyderabad is seeking a hands-on AI Engineer to design and ship agentic workflows, integrating MCP servers and enterprise tools. You will build agents that reason, act, and collaborate across business systems, making them accessible via Slack and other platforms.

You will lead multi-agent orchestration, tool integrations, and secure governance while working in a hybrid setup. 5+ years of experience and strong Python skills are required.

Qualificações

  • 5+ years of software or AI engineering experience.
  • Proven experience building AI Agents from the ground up.
  • Hands-on experience integrating MCP servers into agent systems.
  • Experience designing and deploying agentic workflows and multi-step automations.
  • Experience building Slack bots or Slack-integrated AI applications.
  • Strong Python skills with async, event-driven architectures.

Responsabilidades

  • Build AI Agents from scratch with 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, communication, and failure recovery.
  • Implement planning and reflection patterns (ReAct, Plan-and-Execute) for autonomous task completion.
  • Design agents for long-running, multi-step workflows with human-in-the-loop checkpoints.

Conhecimentos

AI engineering
Agent design
Python (async)
LLM behavior understanding
Security & governance
RBAC & audits
Slack bot experience
Tool integration
Event-driven architecture
Kubernetes & Docker

Ferramentas

Jira
Salesforce
Slack
Notion
GitHub
ServiceNow
Snowflake Cortex
Snowpark
Pinecone
Weaviate
Chroma

Descrição da oferta de emprego

We are seeking a hands-on AI Engineer with deep expertise in building AI Agents from the ground up, designing agentic workflows, and integrating enterprise tooling and MCP servers into production-grade agent systems. The ideal candidate has a builder's mindset someone who has architected and shipped real agents, not just experimented with frameworks. This role sits at the intersection of AI engineering, workflow automation, and enterprise integration. You will design agents that reason, act, and collaborate across business systems and make them accessible to end users through platforms like Slack

What You’ll Do
  • 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 (ReAct, Plan-and-Execute, etc.) for autonomous task completion
  • Design agents capable of handling long-running, multi-step workflows with human-in-the-loop checkpoints
MCP Integration
  • Build and maintain MCP (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
Tool & System Integration
  • Integrate agents with enterprise tools including Jira, Salesforce, Slack, Notion, GitHub, ServiceNow, and others
  • 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
Agentic Workflows & Automation
  • 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
Slack Platform & Agent Accessibility
  • Deploy and expose AI agents as interactive Slack bots and workflow apps
  • Build Slack surfaces (slash commands, modals, home tabs, 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
RAG, Data & Knowledge Systems
  • Implement RAG architectures to ground agents in enterprise knowledge bases
  • Build vector pipelines, embeddings, and retrieval systems that agents query at runtime
  • Integrate Snowflake (Cortex, Snowpark) as a data backbone for agent memory and structured data access
AI Security & Governance
  • Implement prompt injection defenses, access controls, and data leakage prevention within agent pipelines
  • Design RBAC and audit logging for all agent actions and tool invocations
  • Ensure agents operate within defined security and compliance boundaries
What You’ll Bring
  • 5+ years of software or AI engineering experience
  • Proven experience building AI Agents from the ground up - not just 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 with experience in 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
Nice-to-Have
  • 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 (Pinecone, Weaviate, Chroma, FAISS)
  • Experience with Kubernetes, Docker, and cloud platforms (AWS, Azure, GCP)
  • Experience with AI observability, tracing, and evaluation frameworks
  • Snowflake certifications are a plus
Technical Skills
  • Agentic AI (from-scratch agent design, orchestration, multi-agent systems)
  • MCP (Model Context Protocol) - server and client development
  • Tool integration and function calling
  • Python (async, REST, event-driven)
  • Snowflake (Cortex, Snowpark, SQL)
  • AI Security & Governance
  • Git, CI/CD, DevOps
What We Offer
  • Enjoy flexible paid time off for enhanced work-life balance.
  • Meltwater demonstrates commitment to your well-being by contributing towards Discovery Health, ensuring robust healthcare coverage.
  • Complimentary CalmApp subscription for you and your loved ones because mental wellness matters.
  • Energetic work environment with a hybrid work style, providing the balance you need.
  • Benefit from our family leave program, which grows with your tenure at Meltwater.
  • Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
About Meltwater

At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way. We are25 countries innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers.We’re proud of our diverse team of 2,200+ employees in 50 locations across around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career.

We are Meltwater. Inspired by innovation, powered by people.
Where You’ll Work:

Hyderabad

Equal Opportunity Employer

Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.

Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information, capturing interview notes, and supporting interview activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws

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