AI Engineer

AI Engineer

Engineering

Hybrid Remote

Hyderabad,

India

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Description

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

Agent Development & Architecture

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

Slack Platform (Bolt SDK, Block Kit, Slack APIs)

Python (async, REST, event-driven)

RAG Architecture & Vector Databases

Snowflake (Cortex, Snowpark, SQL)

AI Security & Governance

Cloud Platforms (AWS / Azure / GCP)

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

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 are

25 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

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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