What you will do:
- Building and managing strong relationships with key customer stakeholders
- Proactively monitoring client retention and customer account health
- Serving as a product expert on use cases and providing customer training
- Interfacing and collaborating with cross-functional teams to drive towards customer goals
- Providing prompt customer service to ensure client delight and minimal churn
- Following and creating processes that build long lasting client relationships
- Driving upselling by understanding client requirements and product fit
- Being the voice of the customer to drive process and product enhancement
What you need to have:
- Comfortable to work in the day/ evening shift as per the assigned region
- Strong ethical practices for client servicing
- 2 to 4 years of experience in client servicing (preferably in the international market)
- Effective communicator with strong analytical, problem-solving and organizational ability
- High level of comfort with handling technology
Shubham Vishwakarma
Full Stack Developer - Averlon
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Python
React.jsResponsibilities:
- Lead architecture, technical decisions, and ensure code quality, scalability, and performance
- Develop backend systems using Python & SQL; build APIs and optimize databases
- Work with frontend (React/Angular) and API-driven architectures
- Integrate AI/ML models and support analytics/LLM-based solutions
- Manage cloud deployments (Azure/AWS) and implement CI/CD practices
- Ensure system reliability, monitoring, and production readiness
- Mentor team members, conduct reviews, and collaborate with cross-functional teams
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.
Machine Learning (ML)About the company
KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.
Apply through this link for quicker response-https://forms.gle/aSyXcxVNzQptbWt9A
Job Description
Position: ML Engineer
Experience: Experience 4+ years of relevant experience
Location : WFO (3 days working) Pune – Kharadi
Employment Type: contract for 3-5 months-Can be extended basis performance and future requirements
Skills Required:
• Building and maintaining pipelines for model development, testing, deployment, and monitoring.
• Automating repetitive tasks such as model re-training, hyperparameter tuning, and data validation.
• Developing CI/CD pipelines for seamless code migration.
• Collaborating with cross-functional teams to ensure proper integration of models into production systems.
Key Skills
• 3+ years of experience in developing and deploying ML models in production.
• Strong programming skills in Python (with familiarity in Bash/Shell scripting).
• Hands-on experience with tools like Docker, Kubernetes, MLflow, or Airflow.
• Knowledge of cloud services such as AWS SageMaker or equivalent.
• Familiarity with DevOps principles and tools like Jenkins, Git, or Terraform.
• Understanding of versioning systems for data, models, and code.
• Solid understanding of MLflow, ML services, model monitoring, and enabling logging services for performance tracking
AngularJS (1.x)
Angular (2+)React.js
NodeJS (Node.js)Job Description: Principal Engineer (Full Stack Architect)
Job Title: Full Stack Architect
Location: Hyderabad, India
Experience: 15Years to 20 years (4+ years in Enterprise Architecture)
Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.
Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning
Job Summary
As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.
This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.
Roles and Responsibilities
Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.
Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.
Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.
Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.
Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.
Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.
Mentorship: Mentor junior engineers and foster a collaborative team environment.
Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.
Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.
Mandatory Requirements
Experience: 12+ years of full-stack development experience, with significant expertise
in building and architecting applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Proven track record of architecting and implementing large-scale
distributed systems with a focus on reliability, scalability, and performance.
Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),
with a deep understanding of cloud services such as compute, storage, networking, and
security.
Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like
Neo4j. Experience with vector databases for high-dimensional data processing.
Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs
for solving complex data relationships.
Data Structures & Algorithms: Strong knowledge of DSA with practical experience in
solving complex technical challenges.
Microservices Architecture: Experience in designing and developing microservices-based
architectures and ensuring high availability.
DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).
Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.
Nice-to-Have Requirements
Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).
Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.
Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).
AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.
Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.
System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.
Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).
Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.
6-7 Years of experience in building, scaling and leading the Marketing Function at a Product/tech-b2b Co
Experience in working with VC backed start-ups, internet/tech companies, retail companies
Excellent communication and story-telling skills with in-depth knowledge of marketing & branding
Penchant to work hard to strengthen the brand in the initial few years to gain a better work-life balance in future
Role and Responsibilities
1. Own the Acquisition and retention Funnels for the Manufacturer and Retailer
business lines
2. Own growth metrics like CAC and Cost of Retention for the Retailer product
3. Lead the Optimization and Automation of the above funnels in collaboration with the
Product team
4. Formulate & execute ROI driven Marketing strategies for all aspects.
5. Work closely with the Business, Product and Customer Delight Leaders
6. Build the Growth Marketing team from scratch
7. Define processes for the marketing team to ease and optimize intra and inter team
as well as external communications
Build the Marketing Vision
1. Be the voice of the users internally and the voice of brand externally
2. Stay on top of changing trends and strategic priorities through in-depth data
analysis to predict user behavior
3. Gain a deeper understanding of the market and the customer
4. Follow OKR framework religiously and manage implementation at all levels
Nurture the Culture
1. Make the team understand the importance of knowing the users (retailers /
Manufacturers), their behavior & needs, and encourage them to come up with
innovative hacks every time to communicate & engage with the users
2. Sustain innovation and experimentation as part of the Growth process
3. Respect and value user-facing teams and their experience and try to learn as much
as possible from them
4. Impart data-driven decision making habits coupled with intuitive experimentation on
the basis of user understanding
5. Know when to pull the plug and switch to a new initiative as per the need
6. Be quick at decision making and stay highly purpose-driven
Perks
● Work with the Founding team to create one of the MOST Valued B2B companies in
times to come
● Be a pioneer in an emerging and futuristic business space
● Opportunity to create an impact as a C-Suite leader
● Massive learning and execution opportunities at a large scale
● Non-hierarchical, a flat and transparent culture where we also have lots of fun
● Pay at par with market salaries + stock options and a steep growth curve
Java
Kotlin
Android DevelopmentCore Skill needed
- You have prior experience in Java
- You have a deep understanding of Android SDK, app fundamentals & different development frameworks, integration with backend / API
- Excellent attention to detail and an eye for visuals. Design skills are not required but you should be able to critique and modify existing designs
- You have a deep interest in technology
- You're ready to learn and use new technology
Role: HR Intern
Duration: 3 Months
Joining: Immediately
Stipend : 5K/month
Location: Bangalore
Qualification: MBA(HR)
Perks:
- i) Internship Certificate
- ii) Pre Placement Offer, based on the performance
Selected Intern's Day-to-day Responsibilities Include
- Sourcing and screening potential applicants from the job portals to fill the company job vacancies
- Organizing interviews with shortlisted candidates
- Posting job advertisements on job boards and social media platforms
- Assisting in planning recruitment and HR activities
- Assisting and actively involving in the planning of company events
- are Available For Full Time (in-office) Internship
- have Relevant Skills And Interests
- can Start The Internship Immediately
- are Available For Duration Of 3 Months
- have Already Graduated
- females Willing To Start/restart Their Career May Also Apply
Responsibility:
- Implement accounting systems and processes.
- Reconcile income statements.
- Prepare monthly financial reports.
- Analysing the company’s financial systems and procedures.
- Conducting internal and external audits.
- Control the master data of the general register.
- Review and release online banking payments.
- Ensure compliance with state revenue service.
- Provide ongoing accounting and reporting support.
- Manage the full financial process.
- Preparing budgets, annual reports and strategies.
- Preparing and forecasting budget reports.
- Providing assistance with tax planning.
Role Requirement:
- Bachelor's degree in accounting.
- Certificated Public Accountant or accredited to a reputed institution
- Fully compliant as a tax practitioner.
- Filing of corporate tax returns.
- Experience in providing financial advice.
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Full Stack Developer - Averlon