Labview Developer

We're looking for a high-energy Java engineer to design and implement scalable microservices using Spring Boot. You'll collaborate across teams to deliver clean, efficient, and high-performance backend services.

🛠️ Key Responsibilities

• Design, develop, and maintain RESTful services and microservices using Spring Boot
• Utilize OOP, Java Collections, Exception Handling, and method overloading/overriding in modern coding practices
• Build and optimize multithreaded systems (Threads, synchronization, wait(), notify(), yield()) for performance and scalability
• Write unit and integration tests (JUnit, Mockito, Spring Test) to ensure code quality
• Collaborate with cross-functional teams (QA, DevOps, Product) through code reviews and feature planning
• Diagnose and resolve performance bottlenecksJVM tuning, SQL/caching optimizations
• Adhere to coding standards, best practices, and participate in peer code review

🎯 Required Skills & Experience

• Strong Java fundamentals: OOP, Collections, Generics, Exception Handling
• Concurrency mastery: multithreading, synchronization primitives (wait(), notify(), yield())
• Spring Boot: solid experience building, testing, deploying REST APIs
• Microservices: design, inter-service communication, stateless service patterns
• Testing frameworks: JUnit, Mockito, Spring Test
• Performance tuning: profiling, optimization with JVM settings and database queries
• Tools & practices: Git, Maven/Gradle, CI/CD pipelines, Docker/Kubernetes (plus)
• Soft skills: strong problem-solving, collaboration, and effective communication

Role: Core infrastructure for two global applications.

Key responsibilities:

Heavy Data Lifting: Designing and maintaining complex MongoDB aggregation pipelines and executing high-volume bulk updates.

Systems Connectivity: Managing the lifecycle of Bridges, WebSockets, and REST APIs for global traffic.

Global Reliability: Troubleshooting performance regressions, managing SSL/TLS certificates, and optimizing AWS S3/EC2 resources.

Core Logic: Implementing server-side push notifications, custom payment flows, and background Cron orchestration.

Requirements (Must Have)

Production Experience: Proven experience managing backend services for live, high-traffic applications. (Must have)

Note: Learning projects, bootcamps, and online courses will not be considered.

Python Mastery: Expert-level proficiency in backend Python development. (Must have)

MongoDB Expertise: Deep knowledge of Aggregations and Bulk operations. (Must have)

AWS Proficiency: Direct experience with S3 and EC2 in a production setting. (Must have)

Infrastructure Logic: Ability to manage SSL/Encryption and optimize resource allocation (Cron vs. API). (Must have)

We are seeking a highly skilled and experienced Python Developer with a strong background in fintech to join our dynamic team. The ideal candidate will have at least 7+ years of professional experience in Python development, with a proven track record of delivering high-quality software solutions in the fintech industry.

Responsibilities:

Design, build, and maintain RESTful APIs using Django and Django Rest Framework.

Integrate AI/ML models into existing applications to enhance functionality and provide data-driven insights.

Collaborate with cross-functional teams, including product managers, designers, and other developers, to define and implement new features and functionalities.

Manage deployment processes, ensuring smooth and efficient delivery of applications.

Implement and maintain payment gateway solutions to facilitate secure transactions.

Conduct code reviews, provide constructive feedback, and mentor junior members of the development team.

Stay up-to-date with emerging technologies and industry trends, and evaluate their potential impact on our products and services.

Maintain clear and comprehensive documentation for all development processes and integrations.

Requirements:

Proficiency in Python and Django/Django Rest Framework.

Experience with REST API development and integration.

Knowledge of AI/ML concepts and practical experience integrating AI/ML models.

Hands-on experience with deployment tools and processes.

Familiarity with payment gateway integration and management.

Strong understanding of database systems (SQL, PostgreSQL, MySQL).

Experience with version control systems (Git).

Strong problem-solving skills and attention to detail.

Excellent communication and teamwork skills.

Job Types: Full-time, Permanent

Work Location: In person

AI Engineer (1–8 years)

Location: Bellandur, Outer Ring Road, Bengaluru (Work from Office only)

Organization Size: 20 members across functions, and growing

Reports to: Head of Engineering

GetSetYo is a Bangalore-based early-stage travel tech startup, built by internet industry veterans (ex-Makemytrip, Flipkart, Ola, PhonePe, Zynga, MagicPin, etc.) and premier academic institutes (IIT Delhi, IIT BHU, ISB, DCE, NIT Surathkal, etc.), and funded by multiple unicorn founders (of companies such as MakeMyTrip, Zomato, Groww, Udaan, MaMaEarth, etc.) and we’re growing fast. Look us up here - https://www.getsetyo.com/about

We’re building something exciting in the travel tech space and looking for a senior AI Engineer to join our core engineering team in Bangalore.

Who Are You:

• 1–8 years of total software engineering experience, including at least 1 year building and shipping AI/ML or LLM-powered products in production
• Engineering degree from a top-ranked college
• Strong engineering foundation in Python or Java, with the ability to build reliable backend services, APIs, evaluation pipelines, and developer tooling around AI systems
• Hands-on experience with LLM application patterns such as RAG, tool/function calling, structured output generation, vector search, reranking, and agentic workflows
• Familiarity with agent frameworks and orchestration patterns, including multi-step workflows, planner/executor patterns, tool routing, and guardrails
• Working knowledge of MCP (Model Context Protocol) or similar patterns for connecting models to internal tools, data sources, and external systems
• Strong understanding of context engineering, prompt design, and how to manage instructions, conversation state, tools, memory, and retrieved context for consistent model behavior
• Experience with evaluation and observability for AI systems: offline evals, online metrics, regression testing, trace inspection, cost/latency monitoring, and failure analysis
• Comfortable working in a fast-paced startup where you can own problem statements end to end — from prototype to production rollout
• Must have experience using AI-native developer tools such as Claude Code / coding agents / AI-assisted workflows to accelerate delivery

What You’ll Do

• Build and own production-grade AI features across the stack, from experimentation and prototyping to backend integration, deployment, monitoring, and iterative improvement
• Design and implement agentic workflows for real user problems — combining LLM reasoning, retrieval, tool use, business rules, and backend APIs into reliable multi-step systems
• Build and optimize RAG and search systems: document ingestion, chunking strategies, embedding pipelines, vector indexes, hybrid retrieval, reranking, and citation/grounding flows
• Integrate models with internal and external systems through tool calling, APIs, and where relevant MCP-compatible interfaces, so models can safely access the right context and take useful actions
• Drive context engineering for AI products: decide what memory, instructions, retrieved context, tool outputs, and interaction history should be passed to the model at each step for maximum quality and efficiency 
• Build evaluation systems for prompts, agents, and retrieval quality — including benchmark datasets, golden test cases, automated regression checks, and human-in-the-loop review workflows
• Establish observability and debugging for AI pipelines: traces, tool execution logs, latency/cost tracking, hallucination analysis, and failure-mode investigation 
• Help define engineering standards for AI systems across security, guardrails, versioning, rollback, experimentation, and cost-performance tradeoffs

What We Offer:

• AI Impact from Day 1: Lead the development of our core ML capabilities
• Fast Iteration: Weekly releases and direct user feedback
• Collaborative Culture: Flat structure and transparent communication
• Vibrant Office: In-person energy in Bangalore HQ
• Perks: Employee travel discounts and exclusive deals.

🚀 We're Hiring! 🚀

opportunity 🌟

Looking for Backend + Flutter Developers proficient in Node, MongoDB, SQL, Google Cloud, Flutter, MVVM, Provider. Interested?

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salary = 5k to 20k

Remote work

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Role: Java developer
Experience: 4+ years

Job description

○ Working experience on JAVA,Spring Boot. (on building web services?)

○ NOSQL DynamoDB knowledge is plus

○ Working experience in building micro services and distributed systems

○ Working experience on using messaging queues RabbitMQ/Kafka is plus

Job Summary:

– We are looking for a kick ass software engineer with exceptional skills in data structures, algorithms, core java, and distributed systems. If you think you have it in you to deliver on aggressive timelines, have the hunger for growth, don’t like giving excuses, contribute to product features, be hands-on and deliver a world-class product, then we want to hear from you.

This is a predominantly back-end engineering role.

– You are a rockstar engineer with proven capabilities working on SaaS product and a passion for writing exception code.

– You are hungry for an opportunity to join a start-up and become a member of core platform team driving the company forward.

– You will be responsible for the delivery of product features as a part of the platform engineering team.

– You will be hands-on working on key features of the product.

– You will be responsible for design of back-end architectural changes and product features.

– You will have plenty of opportunity to learn and implement ideas to build products in efficient and cohesive manner.

– Understand the product mission, goals, and tasks and execute with the team to achieve them.

– Understand the design and architecture and build modules in accordance with it or recommend and make the necessary changes that adds more stability to our product.

Eligibility:

– 4+ years of experience with hands-on experience in Core Java/Kotlin

– 2+ years of experience as a technical architect with responsibility for core features 

– 4+ years of working experience in cloud-based systems

– 2+ years of experience working on distributed systems

– 2+ years of experience working on Kafka and Zookeeper

– Experience working on RxJava/ Reactive Programming

– Adept on design patterns and distributed systems

– Excellent verbal and written communication

– Proficient in building REST APIs to interact with relational and non-relational data sources

– Proficient in SQL and RDBMS

– Hands on experience in code and system optimization

– Experience in working with NoSQL databases is a plus