Backend Engineer

Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."

The Challenge

The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.

Your Mission

As a foundational member of the backend team, you will architect core systems, focusing on:

• Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
• Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
• Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.

What You'll Bring

• My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.

Core Experience:

● Typically 3 to 5 years of experience in backend engineering roles.

● Expertise in Python, especially with async frameworks like FastAPI.

● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).

● Proven experience designing and building microservice or agent-based architectures.

Specialized Experience (Ideal):

• Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
• Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
• Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
• Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
• Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.

Your Impact

• The systems designed by this role will form the foundation for:
• Thousands of AI agents for major partners across chat, video, and APIs.
• A new creator economy enabling developers to earn revenue through agents.
• The overall speed, security, and scalability of my client’s AI platform.

Why Join Us?

• Opportunity to solve hard problems with clean, scalable code.
• Small, fast-paced team with high ownership and zero micromanagement.
• Belief in platform engineering as a craft and care for developer experience.
• Conviction that AI agents are the future, and a desire to build their powering platform.
• Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
• Meaningful equity in a growing, well-backed company.
• Direct work with founders and engineers from top AI companies.
• A real voice in architectural and product decisions.
• Opportunity to solve cutting-edge problems with no legacy code.

Ready to Build the Future?

My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.

Job Description:

Summary

The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure. They must have experience with SQL and Python.

Roles & Responsibilities:

● Collaborate with product, business, and engineering stakeholders to understand key metrics, data needs, and reporting pain points.

● Design, build, and maintain clean, scalable, and reliable data models using DBT.

● Write performant SQL and Python code to transform raw data into structured marts and reporting layers.

● Create dashboards using Tableau or similar tools.

● Work closely with data platform engineers, architects, and analysts to ensure data pipelines are resilient, well-governed, and high quality.

● Define and maintain source-of-truth metrics and documentation in the analytics layer.

● Partner with product engineering teams to understand new features and ensure appropriate

instrumentation and event collection.

● Drive reporting outcomes by building dashboards or working with BI teams to ensure timely delivery of insights.

● Help scale our analytics engineering practice by contributing to internal tooling, frameworks, and best practices.

Who You Are:

Experience : 3 to 4 years of experience in analytics/data engineering, with strong hands-on expertise in DBT, SQL, Python and dashboarding tools.

● Experience working with modern data stacks (e.g., Snowflake, BigQuery, Redshift, Airflow).

● Strong data modeling skills (dimensional, star/snowflake schema, data vault, etc.).

● Excellent communication and stakeholder management skills.

● Ability to work independently and drive business outcomes through data.

● Exposure to product instrumentation and working with event-driven data is a plus.

● Prior experience in a fast-paced, product-led company is preferred.

Key Responsibilities:

• Design, develop, and maintain robust backend services using Core Java and Spring Boot
• Develop and optimize queries in MongoDB, including aggregation and indexing
• Build RESTful APIs and integrate third-party services
• Write clean, maintainable, and scalable code following best practices
• Collaborate with cross-functional teams to gather and implement requirements

Required Skills:

• 5+ years of experience in Core Java
• Strong expertise in Spring Boot (REST APIs, Security, Data)
• Hands-on experience with MongoDB (CRUD operations, schema design)
• Experience with Microservices architecture

WHO YOU ARE

To be successful in this role, you’ll need to have the following skills:

·         Love for coding: A fanatic about writing beautiful and scalable code.

·         A sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.

·         Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems. 

·         Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.

·         Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact. 

KEY QUALIFICATIONS

·         BE/BTech in Computer Science or related field. 

·         5+ years of professional production and development experience with leading-edge server and database technologies (e.g., Python, Java, Node.js, Scala, Spring Boot, MySQL, and NoSQL databases).

KEY SKILLS

·         Strong computer system analysis and design skills in current methodologies and patterns Experience with professional production cloud (AWS preferred).

·         Experience with RESTful Services and APIs.

As an engineer, you will help with the implementation, and launch of many key product features. You will get an opportunity to work on a wide range of technologies (including Spring, AWS Elastic Search, Lambda, ECS, Redis, Spark, Kafka etc.) and apply new technologies for solving problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with skilled and motivated engineers who are already contributing to building high-scale and high-available systems.

If you are looking for an opportunity to work on leading technologies and would like to build product technology that can cater millions of customers inclined towards providing them the best experience, and relish large ownership and diverse technologies, join our team today!

What You'll Do:

• Creating detailed design, working on development and performing code reviews.
• Implementing validation and support activities in line with architecture requirements
• Help the team translate the business requirements into R&D tasks and manage the roadmap of the R&D tasks.
• Designing, building, and implementation of the product; participating in requirements elicitation, validation of architecture, creation and review of high and low level design, assigning and reviewing tasks for product implementation.
• Work closely with product managers, UX designers and end users and integrating software components into a fully functional system
• Ownership of product/feature end-to-end for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the and implementation.
• Management and execution against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.

The ideal candidate is a passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end.

What You'll Need:

• A Bachelor's degree in Computer Science or related technical discipline.
• 2-3+ years of Software Development experience with proficiency in Java or equivalent object-oriented languages, coupled with design and SOA
• Fluency with Java, and Spring is good.
• Experience in JEE applications and frameworks like struts, spring, mybatis, maven, gradle
• Strong knowledge of Data Structures, Algorithms and CS fundamentals.
• Experience in at least one shell scripting language, SQL, SQL Server, PostgreSQL and data modeling skills
• Excellent analytical and reasoning skills
• Ability to learn new domains and deliver output
• Hands on Experience with the core AWS services
• Experience working with CI/CD tools (Jenkins, Spinnaker, Nexus, GitLab, TeamCity, GoCD, etc.)

• Expertise in at least one of the following:

    - Kafka, ZeroMQ, AWS SNS/SQS, or equivalent streaming technology

    - Distributed cache/in memory data grids like Redis, Hazelcast, Ignite, or Memcached

    - Distributed column store databases like Snowflake, Cassandra, or HBase

    - Spark, Flink, Beam, or equivalent streaming data processing frameworks

• Proficient with writing and reviewing Python and other object-oriented language(s) are a plus
• Experience building automations and CICD pipelines (integration, testing, deployment)
• Experience with Kubernetes would be a plus.
• Good understanding of working with distributed teams using Agile: Scrum, Kanban
• Strong interpersonal skills as well as excellent written and verbal communication skills

• Attention to detail and quality, and the ability to work well in and across teams

Job description:

Amazon’s Worldwide Consumer Engagement organization brings customers to visit amazon websites, engage them on site and help them purchase from Amazon’s retail sites. This is achieved through highly personalized messages delivered via all available large scale communication channels—both free and paid and offering engaging experience on website. The organization builds, operates, and improves the technology systems that power all marketing channels, and manages prioritization and marketing spend decisions. Consumer Marketing consists of a series of single-threaded technology and business teams, each of which owns the entirety of a channel of communication or customer segment: natural and paid search (i.e. SEO and SEM), affiliate marketing (Associates), display advertising, email, browser integration, and mobile marketing, retail customer experience technology teams.

This position is for a technology leader in Affiliate Marketing Technology group for attribution team. This team owns business critical systems that are responsible for attributing traffic to marketing channels and thrives on innovation to provide rich analytics to its internal and external customers. As a leader on the team, you will be responsible for tier1 critical systems, guide your team through the design, development, testing, and deployment of a range of products involving big data processing and dealing with near real time SLAs. You will have to deal with challenges of high availability (five 9s) guarantee, low latency and high throughput. In addition, you will build and manage roadmaps for software teams, developing cutting edge experiences. You will have sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You are a true owner - you are deeply interested in product design, architecture, and you innovate relentlessly on behalf of our customers.

This position offers the opportunity to collaborate with our business teams across the world and other tech teams in Bangalore as we raise the bar in delivering innovation.

Primary responsibilities: 

• Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics 
• Work with business leaders and product managers to define product requirements. 
• Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments 
• Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner 
• Build and maintain world-class customer experience and operational excellence for your deliverables 
• Hire, manage, mentor and grow a high performance team of Software Engineers

Basic Qualifications:

• Bachelors/Masters degree in Computer Science or related field
• 10+ years professional experience in software development management
• Proficiency in, at least, one modern programming language such as Java, Scala, C#, C++ etc 
• Ability to solve complex technical problems and design robust, scalable solutions
• Ability to think critically and actively contribute to strategic choices.
• 3+ years experience in managing development teams working on multiple simultaneous projects.
• 3+ years experience in managing large scale software development teams following Agile development processes. 
• Strong skills in project planning & execution, problem solving. Ability to take a project from initial scoping requirements through actual launch and support of the project
• Proven leadership and teamwork skills
• Excellent verbal and written communication skills in both technical and non-technical discussions.

Preferred Qualifications: 

• Deep, hands-on technical expertise in high scale, service-oriented architectures
• Exposure to Elastic Map Reduce and Machine Learning programs. 
• Ability to handle multiple competing priorities in a fast-paced environment
• Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations
• Clear, professional communication skills able to contribute to team discussions, knowing when to contribute, when to listen, and when to ask questions
• Proactively and continually improve their level of knowledge about Amazon’s business and relevant technologies, and use this knowledge to deliver high quality, accurate software deliverables
• Strong business and technical vision
• Good understanding of web services