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.

🚀 We're Hiring | Java Lead | Bangalore

Are you an experienced Java Lead passionate about building scalable, cloud-native enterprise applications? We're looking for a hands-on leader with strong expertise in Java, Spring Boot, Microservices, and modern backend technologies to drive high-impact development initiatives.

📍 Location: Bangalore

💼 Employment Type: Contract to Hire (C2H)

🧑‍💻 Experience: 8+ Years

Key Responsibilities

• Design, develop, and maintain high-performance Java-based applications using modern frameworks.
• Lead the development of scalable microservices and RESTful APIs.
• Collaborate with cross-functional teams to deliver robust, secure, and high-quality software solutions.
• Build and optimize backend services with Spring Boot, Spring MVC, and Spring Security.
• Develop efficient database solutions using SQL and ORM frameworks such as Hibernate/JPA.
• Integrate messaging systems like Kafka or RabbitMQ for event-driven applications.
• Participate in architecture discussions, code reviews, and technical mentoring.
• Implement CI/CD pipelines and containerized deployments using Docker, Kubernetes, and Jenkins.
• Ensure adherence to coding standards, best practices, and Agile methodologies.

Required Skills

• Strong hands-on experience with Java 8/11/17
• Expertise in Spring Boot, Spring MVC, and Spring Security
• Strong understanding of Microservices Architecture
• Experience in developing REST APIs
• Hands-on experience with Hibernate/JPA
• Strong SQL skills with MySQL, PostgreSQL, or Oracle
• Experience with Kafka or RabbitMQ
• Proficiency with Git, Maven, and Gradle
• Experience with Docker and Kubernetes
• Exposure to AWS, Azure, or GCP
• Experience with Jenkins and CI/CD pipelines
• Strong knowledge of design patterns and data structures

Preferred Skills

• Experience with Spring WebFlux and reactive programming
• Knowledge of MongoDB or other NoSQL databases
• Familiarity with Agile/Scrum methodologies
• Experience with JUnit and Mockito for unit testing

Educational Qualification

• Bachelor's degree in Computer Science, Information Technology, or a related field.

📩 Interested candidates, please share your updated resume.

Role Overview:

We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology

foundation for our Support Excellence function. This role sits at the intersection of engineering,

product, and operations ensuring that our internal teams and, eventually, our end users

experience seamless, efficient, and data-driven support.

You will lead a small but high-impact team of engineers, own the support tooling roadmap, and

implement solutions that handle ticket triage, data quality issues, automation, and integrations

with our healthcare SaaS platform.

This is a hands-on technical leadership role ideal for someone who thrives on solving

operational challenges through technology, building frameworks from scratch, and enabling

customer-facing and internal support teams to scale effectively.

Key Responsibilities

1. Build & Enhance Support Platform:

● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,

knowledge bases, and automation bots.

● Design and implement scalable support frameworks, ensuring fast triage, data-driven

escalation, and high-quality resolution.

● Integrate support tooling with product backend, CMS, and analytics systems to enable

context-aware assistance.

2. Technical Leadership & Delivery:

● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,

and coding standards.

● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,

maintainable solutions.

● Partner closely with Program Managers and Business Analysts to translate requirements

into technical execution.

3. Automation, Data & AI-Driven Support:

● Implement automation workflows (bots, routing, notifications) to reduce manual load and

optimize SLA adherence.

● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive

resolution.

● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).

● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.

● Restore transparency and speed between business stakeholders and tech teams.

4. Cross-functional Collaboration:

● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured

early in the roadmap.

● Serve as the engineering voice in discussions on escalation flows, release readiness, and

customer-facing support enablement.

● Collaborate with content and ops teams to power self-service experiences (knowledge

bases, FAQs, in-app help).

5. Documentation & Knowledge Management:

● Maintain technical documentation for support tooling, workflows, and integrations.

● Contribute to knowledge bases (internal + external) alongside ops and content teams.

● Foster a documentation-first culture to enable faster onboarding and smoother

collaboration.

What We’re Looking For

Must-Have

● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead

role.

● Proven track record in building internal platforms, support tools, or automation systems.

● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration

experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira

Service Management).

● Experience leading small teams and owning delivery from design → build → release.

● Excellent problem-solving skills with a bias for execution in fast-paced environments.

Nice to Have

● Exposure to SaaS or healthcare platforms with multi-tenant architecture.

● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).

● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).

● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).

Job Description:-

Design, develop IoT/Cloud-based Typescript/ JavaScript/ Node.JS applications using

Amazon Cloud Computing Services.

Work closely with onsite, offshore, and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of IoT applications

Bug and issue resolution

Proactively Identify risks and failure modes early in the development lifecycle and develop.

POCs to mitigate the risks early in the program.

Assertive communication and team skills

Primary Skills:

Hands on experience (3+ years) in AWS cloud native environment with work experience in

AWS Lambda, Kinesis, DynamoDB

3+ years’ experience in working with NodeJS, Python, Unit Testing and Git

3+ years in work experience with document, relational or timeseries databases

2+ years in work experience with typescript.

1+ years in IaaS framework like Serverless or CDK with CloudFormation knowledge

• Must have applied knowledge of Python and trending data libraries.
• Experience on Python Backend Development framework like Flask, Django etc.
• Must have experience working on AWS (Lambda, EC2, S3, API Gateway etc).
• Must have experience working on SQL optimization and performance tuning.
• Nice to have technical knowledge in any ETL/ BI Tools (Datastage, Informatica, Alteryx, Microstrategy, RDM, MDM etc.

Looking Data Enginner for our OWn organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.

We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Experience

12+ Years

Location

Hyderabad

Skills

Bachelors/Masters/Phd in CS or equivalent industry experience

10+ years of industry experience in java related frameworks such as Spring and/or Typesafe

Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python

Experience with popular modern web frameworks such as Spring boot, Play framework, or Django

Demonstrated expertise of building and shipping cloud native applications

Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd

Experience in API development using Swagger

Strong expertise with containerization technologies including kubernetes, docker-compose

Experience with cloud platform services such as AWS, Azure or GCP.

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git

Familiarity with continuous integration, Jenkins

Responsibilities

Architect, Design and Implement Large scale data processing pipelines

Design and Implement APIs

Assist in dev ops operations

Identify performance bottlenecks and bugs, and devise solutions to these problems

Help maintain code quality, organization, and documentation

Communicate with stakeholders regarding various aspects of solution.

Mentor team members on best practices