Java
Amazon Web Services (AWS)CAW We are looking for a Application Support Engineer to lead customer onboarding, deployments, and production support on the platform. This role sits at the intersection of engineering, customer success, and product and requires strong technical depth combined with excellent skills. You will work directly with enterprise customers to ensure fast, reliable deployments and long-term technical success. This is not a traditional support role; it's a high-ownership, hands-on techno-support and deployment engineering role.
The candidate will have responsibilities across the following functions:
Customer Deployment and Onboarding:
● Own end-to-end deployment of our platform for enterprise customers. ● Configure integrations, workflows, and environment-specific setups.
● Drive fast go-live and post-deployment stabilization.
Customer Interaction and Requirement Gathering:
● Act as the primary technical point of contact for customers.
● Understand customer business flows, data needs, and system constraints.
● Translate requirements into clear technical inputs for Product and Engineering teams.
Production Support (L1 and L2):
● Handle L1/L2 production support for customer-reported issues.
● Debug data, integration, performance, and infrastructure issues.
● Act as a technical escalation point during critical incidents.
Data and ETL Support:
● Understand and troubleshoot ETL pipelines and data workflows.
● Support ingestion, transformation, validation, and reconciliation of data.
● Work with APIs, databases, and file-based integrations.
Product Feedback and Documentation:
● Share real-world customer feedback, gaps, and edge cases with Product teams.
● Create deployment guides, runbooks, and internal documentation.
Requirements:
● 4-8 years of experience in customer-facing technical roles.
● Strong understanding of ETL pipelines and data workflows.
● Experience working with AWS, GCP, or Azure cloud environments.
● Knowledge of cloud networking fundamentals.
● Knowledge of Java, Spring Boot, Python, and Postgres is a must.
● Familiarity with SQL, APIs, monitoring, and logging tools.
● Strong troubleshooting and problem-solving skills.
● Excellent written and verbal communication skills.
● Experience with SaaS, FinTech, or enterprise platforms.
● Prior roles in Solutions Engineering, Deployment Engineering, or Technical Support (L2/L3).
● Startup or high-growth environment experience.
● Effective Communication: Clear and precise communication to collaborate effectively across teams.
● Curiosity and Growth: A proactive learner with a passion for continuous improvement and innovation.
About CAW Studios
CAW Studios is a Product Engineering Company of 150+ geeks.
We have built these products - Interakt, CashFlo, KaiPulse, and FastBar. And we still run their complete engineering.
We are part of the engineering teams for Haptik, EmailAnalytics, GrowthZone, Reliance General Insurance, and KWE Logistics.
We are obsessed with automation, DevOps, OOPS, and SOLID. We are not into one tech-stack - we are into solving problems.
Find us: https://goo.gl/maps/dvR6L26JUa42
Website: https://www.caw.tech/
Shubham Vishwakarma
Full Stack Developer - Averlon
About CAW.Tech
About
CAW Studios is Product Development Studio. WE BUILD TRUE PRODUCT TEAMS for our clients. Each team is a small, well-balanced group of geeks and a product manager that together produce relevant and high-quality products. We use data to make decisions, bringing big data and analysis to software development. We believe the product development process is broken as most studios operate as IT Services. We operate like a software factory that applies manufacturing principles of product development to the software.
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Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
- Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
Data AnalyticsJob Responsibility:
* Coordinate with CSMs to complete Pilot sales tracker, QBR Decks, End of pilot Decks
*Monitor Daily Sales volume and alert CSMs of Locations with Low volume counts
*Collaborate with other teammates to extract data figures, data entry (Google Sheets & Google Slides), and monitor key performance indicators (KPIs) to determine business initiatives’ success
*Helping in Minor Integration Changes
*Helping with Tickets and giving support when required
* Basic product knowledge of the software to assist with non-client facing action items
* Good communication skill preferred
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We are looking at folks who have a minimum of 5-6 years of experience in back-end development and have been strong experience.
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Practical experience in building APIs.
Experience with RabbitMQ or similar queuing system.
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A knack for benchmarking and optimization
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The company is truly simplifying the financial world by making global financial products easily accessible to global citizens. Their mission is backed by tier 1 VCs and they have already raised in excess of 55 mn dollars within the last one year.
As a Marketing Automation Manager, you will be responsible for Collaborating with internal stakeholders to set communications calendar, creative strategy, and content promotions
- Building customers segments and communication campaigns along customer journeys
- Setting, tracking, and improving key metrics within SMS, email, in-app message and push notification channels
- Identifying opportunities to increase retention and lifetime value; planning, directing and executing marketing programs that achieve those goals
- Planning, implementing and tracking A/B and multivariate tests for transactional, triggered, and marketing mailings Code, testing, and implementing marketing promotions and campaigns
- Leading efforts for cross-promotion and marketing of new products across applicable audiences
- Staying current with industry innovations, trends, and best practices across functional areas
- Ensuring customer data policies and company's privacy policy are enforced
What you need to have:
- 2-5 years of relevant work experience ideally in a fintech/payments/E-commerce/ tech environment with strong growth and analytics background
- 2+ years experience in maintenance & management of CRM platforms (customer.io/CleverTap experience is required)
- MBA or equivalent post-graduation, with at least two years of experience in digital marketing in B2C company
- Strong understanding of advertising tools like AdWords, Facebook Business Manager, Adobe AdCloud.
- Experience with/understand fundamentals of brand building and marketing i.e. audience mapping, positioning, media planning/media mix etc.
- Excellent written and verbal communication skills
- Prior startup experience is a plus
JavaNodeJS (Node.js)Javascript
Spring Boot
Angular (2+)- 3+ years of recent hands-on Java development
- Java, Python, JavaScript programming languages
- Fluency with RESTful APIs, AngularJS, HTML5 and CSS
- Great understanding of designing for performance, scalability, and reliability of data intensive application
- Understanding of database fundamentals and advanced SQL knowledge
- In-depth understanding of object oriented programming concepts and design patterns
- Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
- Understanding of full software development life cycle, agile development and continuous integration
- Experience in Agile methodologies including Scrum and Kanban
What puts you over the top:
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● Experience in AdTech or Programmatic
MUST HAVE GOOD EXPERIENCE IN SPRING BOOT, NODE JS, ANGULAR JS, REACT JS, JAVASCRIPT,JAVA, HTML/CSS.
NodeJS (Node.js)Javascript
MongoDB
Express•Development experience with object oriented JavaScript, ES6 Features
•Development experience with nodejs libraries like express, MySql, mongoose etc,
•Understanding the nature of asynchronous programming
•Hands on experience with MySql, MongoDB [RDBMS, No SQL DB]
•Able to write complex MySql queries, Stored procedure
•Familiarity with API optimization techniques
•Collaborating with front-end developers on the integration of elements.
•Must have knowledge of GIT, POSTMAN
•Good to have knowledge of KAFKA, REDIS
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- Total of 8-12 years- experience building cutting edge products. Experience in building very large scale applications and 2 + years- experience in people management
- Strong understanding of object-oriented programming, concurrency and fundamentals of computer-science.
You are an ideal candidate if you prefer to work on Python and have-
- Experience in building and operating web-based applications.
- Experience in managing an engineering team.
- Proven ability in system design/architecture and building scalable systems and teams.
- Ability to architect, design and code, instill and follow good software development practices and ensure timely delivery of high-quality products.
- Experience in a Hyperlocal / Internet / E-Commerce environment.
- Experience with system monitoring and alerting for availability and performance.
- Previous fullstack experience in both dynamically and statically typed languages.
Also, you will be responsible for
- Working with a very talented & driven young engineering team
- Planning out and detailing features that need to be implemented with the Product Team
- Prioritizing features along with the product team and VP Engineering/CTO
- Program Managing releases-Setting up development & deployment processes and then managing them on a day to day basis
- Making sure the sense of ownership among each developer doesn- t go down. Have constant dialogue about their aspirations and sharing prompt, clear and actionable feedback about performance.
- Build the hiring roadmap and team growth strategy along with the VP engineering & the TA team.
HTML/CSS
Adobe Illustrator
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Full Stack Developer - Averlon