Backend Developer

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.

Ventura Securities is establishing its fintech team - a remote-first, work from anywhere team with highly talented individuals who come from diverse backgrounds and looking to solve real client problems at scale. Ventura has been in the stockbroking business for 20+ years and it is a robust and profitable franchise with 1000+ employees currently. We are looking for passionate techies with skills primarily around AWS and Python who are aspiring for a fast-track career.

Your Key Responsibilities: 

1. Build out of the Ventura cloud-based backend platform from scratch

2. Ownership and monitoring of our D2C backend

3. Robust documentation skills and desire to share information with others

4. Desire and ability to prototype ideas quickly, and be willing to experiment and learn

Basic Requirements:

·  Very strong python, lambda, sql, general aws

· Clean coding skills around Python or Go and SQL

· Demonstratable experience around writing testable code, working with git, doing peer-level code review, daily standups, and generally championing software excellence

· What you get: 

1. Chance to build out a next-gen fintech product from ground 0

2. Opportunity to influence the design of the product

3. Flexible and work anywhere environment running out of Slack

Flat org structure

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Job Description

Must have Skill Sets 

• Go lang + Microservices
• Familiarity with MAC/Linux environment, Shell script 
• GRPC ● JavaScript & JSON 
• Knowledge of microservices and architecture 
• Knowledge of Uber Tech Stack would be a bonus ○ Will ensure candidate who are selected will undergo training on Uber Stack as a part of their induction to Uber 
• Basic SQL knowledge 

Expectations from the candidate 

• Strong hands-on experience in understanding requirements and creating microservices using Go lang.. 
• Exceptional debugging and problem-solving skills on large codebase 
• Be a proactive thinker and demonstrate keen sense to find solutions to challenging problems
• Product sense: Create more than beautiful code. Play a crucial role in choosing what we build and how we build it. 
• A penchant for collaboration & a team player: Work cross collaboratively to drive impact across orgs. Be open to candid feedback for improvement. When required step up to the role of a tech-lead to ensure effective coordination and communication 
• Independent to explore all the end points in UBER environment and coordinate with different Line of Business to understand the correct microservice for a business use case. 
• Ability to convert a high-level PRD into a detailed ERD for execution. Coordinate with business teams to understand the functional requirement and convert it into engineering logic

Primary Skills :

4+ Years with Java

2+ with Microservices

6 months to 1 Year with Golang

Exp : 4+ Years

Location : Bangalore/Hyderabad

Max Budget : 28 Lakhs

End Client : UBER

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Analysis, Automate and backtest the existing strategies
• Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.

• Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
  Learnability, teamwork and flexibility are important traits we look for.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.