Overview

Our goal is to automate expert work for two audiences.

Responsibilities

• Build and ship AI systems
• Design, build, and operate LLM-powered agents and multi-step workflows - tool use, planning, state and memory, human-in-the-loop checkpoints, and sensible recovery when a step fails.
• Build forward-engineering agents: systems that take an ambiguous customer or business input and produce working technical output - queries, configurations, enrichment logic, briefs - that internal teams and customers then rely on.
• Take solutions into production and keep them healthy - deploy, monitor, and optimize for reliability and cost together.
• Build evaluation into the work - golden datasets, regression suites, and the metrics that matter for each workflow: accuracy, groundedness, hallucination rate, latency, and cost per unit of work.
• Work with product managers, platform engineers, and the teams who use what we build, across several time zones - translating fuzzy requirements into a technical approach with the trade-offs stated plainly.

Qualifications

• We are looking for an experienced AI Engineer to join our AI engineering team in Hyderabad. The team is new and built around strong early-career engineers - what it needs now is senior craft alongside them.
• Our goal is to automate expert work for two audiences. Internally, we build AI systems that let teams across the company produce more and better work in less time. Externally, we build custom AI solutions for enterprise customers - bespoke enrichment pipelines, data feeds, and automated workflows shaped around a specific customer's problem. The internal tools we build usually become the foundation of what we sell.
• AI engineers and software engineers build and jointly own our solutions. You will work alongside them from problem framing and prototyping through production and iteration, and help set the engineering bar for a team that is still forming it.
• 4-9 years in software engineering, AI/ML engineering, or a related technical role, including hands-on experience taking AI-powered applications into production.
• A system you have built and operated where an LLM did real work - and a clear sense of how you knew it was working, what broke, and what you changed.
• Strong Python and solid software engineering fundamentals, with a good understanding of API design and integration patterns.
• Practical experience with agent and orchestration frameworks (LangChain, LangGraph, MCP-based tooling, or equivalent) and with frontier model APIs (Anthropic, OpenAI, or comparable).
• Working knowledge of RAG, vector and keyword search (OpenSearch, Elasticsearch, or equivalent) for grounding models in proprietary data.
• A solid grounding in traditional ML alongside the generative side - classification, clustering, embeddings, feature engineering, and standard evaluation methodology - and the judgment to pick a classical model when it is faster, cheaper, and more predictable than a prompt.
• Some experience mentoring or technically guiding less-experienced engineers.
• Clear communication and comfort with ambiguity - a working prototype that proves the idea, then the engineering to make it durable.
• Bachelor's or Master's in Computer Science or an equivalent degree.

Nice to have

• Large-scale LLM enrichment or classification pipelines, where cost and quality per document both matter.
• A background in NLP, information retrieval, or media and text analytics.
• Transformers, fine-tuning, PyTorch or TensorFlow; or computer vision and speech-to-text in production.
• Why This Role
• The team is new, the problem space is genuinely unsolved, and the work goes straight into the hands of people who depend on it daily. You will shape how a team builds AI systems rather than maintain someone else's decisions.
• You do not need every item on this list. If you are strong across most of it and curious about the rest, we would like to hear from you.

Benefits

• Enjoy flexible paid time off options for enhanced work-life balance.
• Comprehensive health insurance tailored for you.
• Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being.
• Complimentary Calm App 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
• Where You'll Work: Hyderabad
• When You'll Join: As per the Offer Letter.
• 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.
• We are Meltwater. We love working here, and we think you will too.
• "Inspired by innovation, powered by people."
• Equal Employment Opportunity Statement