AI Engineer

Job Description:

We are looking for a hands-on AI Engineer with experience in Generative AI and Agentic AI to build and deploy production-ready AI solutions.

Key Responsibilities:

• Develop and deploy GenAI and Agentic AI applications.
• Build RAG pipelines, LLM workflows, and AI agents.
• Develop solutions using Python, LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Implement tool calling, context retrieval, and LLM orchestration.
• Integrate AI solutions with APIs and cloud platforms.
• Work with AWS/Azure/GCP, Docker, and CI/CD.

Required Skills:

• Strong Python programming skills.
• 3+ years of GenAI/Agentic AI experience.
• RAG and LLM orchestration.
• LangChain / LangGraph / LlamaIndex / AutoGen / CrewAI / Semantic Kernel.
• MCP and A2A knowledge.
• Cloud, APIs, Docker, and CI/CD experience.

Preferred Experience:

Hands-on experience building and deploying production-ready AI solutions.

Shortened version:

• 5+ years experience in Python with strong core concepts (OOP, data structures, exception handling, problem-solving)
• Experience with FastAPI (preferred) or Flask/Django
• Strong REST API development & authentication (JWT/OAuth)
• SQL (MySQL/PostgreSQL) & NoSQL (MongoDB/Firestore) experience
• Basic cloud knowledge (GCP or AWS)
• Git, code reviews, clean coding & performance optimization
• Good communication and teamwork skills

Responsibilities:

• Build and maintain scalable backend apps and REST APIs
• Work with databases, third-party integrations, and cloud deployments
• Write clean, testable, optimized code
• Debug, troubleshoot, and improve performance
• Collaborate with team on technical solutions

Good to have:

• GCP (BigQuery, Dataflow, Cloud Functions)
• Microservices, Redis/Kafka/RabbitMQ
• Docker, CI/CD
• Basic Pandas/Numpy for data handling

Perks & Benefits

• 5 Days Working
• Family Health Insurance
• Relaxation Area
• Affordable Lunch
• Free Snacks & Drinks
• Open Work Culture
• Competitive Salary & Benefits
• Festival Celebrations
• International Exposure Opportunities
• 20 Paid Leaves per Year
• Marriage Leave & Parental Leave Policy

Requirements

• 3+ years work experience with production-grade python. Contribution to open source repos is preferred
• Experience writing concurrent and distributed programs, AWS lambda, Kubernetes, Docker, Spark is preferred.
• Experience with one relational & 1 non-relational DB is preferred
• Prior work in the ML domain will be a big boost

What You’ll Do

• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow.
• Write maintainable, scalable performant python code
• Building gRPC, rest API servers
• Working with Thrift, Protobufs, etc.

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce