KnackLabs

Role Description

We are looking for a passionate Fullstack Engineer (SDE-2) to join our growing engineering team. This role involves building robust backend services and intuitive frontends while working closely with product and design teams. You will be hands-on across the stack, with a primary focus on Java/Spring Boot backend and React frontend development.

Key Responsibilities

• Develop, test, and maintain scalable backend services using Java, Spring Boot, PostgreSQL, Redis, and Kafka.
• Build and enhance React-based frontend applications with clean, reusable, and performant code.
• Integrate frontend and backend through well-designed REST APIs.
• Collaborate with cross-functional teams to deliver high-quality features.
• Participate in design discussions and contribute to system architecture decisions.
• Ensure applications meet performance, reliability, and security standards.
• Deploy, monitor, and optimize services on AWS cloud infrastructure.
• (Optional) Contribute to ETL pipelines and data workflows if required by projects.

Qualifications

• 3–5 years of professional software development experience.
• Strong experience with Java, Spring Boot, REST APIs.
• Hands-on knowledge of PostgreSQL, Redis, and Kafka.
• Proficiency with React.js and modern frontend practices.
• Solid understanding of data structures, algorithms, and system design fundamentals.
• Familiarity with AWS cloud services (EC2, RDS, S3, Lambda, etc.).
• Experience with Git and CI/CD workflows.

Job Description: International Staffing Sales Manager

Location: Hyderabad (Hybrid) / Remote (India)

Experience: 6–12 Years

Employment Type: Full-Time

About Knacklabs.ai

Knacklabs.ai is an AI-first talent and engineering solutions company helping global startups and

enterprises build high-performing technology teams. We specialize in AI Engineering, Product

Engineering, Agentic AI, Data Engineering, QA Automation, Cloud, DevOps, and Digital Product

Development. Our focus is on delivering exceptional engineering talent through Staff

Augmentation, Dedicated Teams, Contract-to-Hire, and Permanent Hiring.

Role Overview

We are looking for a results-driven International Staffing Sales Manager to drive new business

growth across the US, Canada, Europe, Australia, and the Middle East. The ideal candidate has a

proven track record of selling IT staffing, staff augmentation, and engineering services to global

clients.

Key Responsibilities

 Develop and execute a strategic sales plan to generate international staffing business.

 Identify and engage prospective clients through outbound prospecting, networking,

LinkedIn, and referrals.

 Build relationships with CTOs, Engineering Managers, Product Leaders, Talent Acquisition

Heads, Procurement teams, and founders.

 Own the complete sales lifecycle from lead generation through contract closure.

 Sell staffing solutions across AI, Software Engineering, QA, Cloud, DevOps, Data Engineering,

and Product Engineering.

 Collaborate with recruitment and delivery teams to ensure successful fulfillment.

 Negotiate proposals, rate cards, MSAs, and SOWs.

 Maintain CRM pipeline and sales forecasts.

 Drive account growth through upselling and repeat business.

Required Qualifications

 Bachelor's degree in Business, Engineering, Marketing, or related field.

 4–8 years of international IT staffing or technology services sales experience.

 Experience selling into US and global markets.

 Strong consultative selling, negotiation, and communication skills.

 Experience using CRM tools.

Preferred Qualifications

 Existing network of global technology hiring managers.

 Experience selling AI engineering or digital engineering services.

 Knowledge of MSAs, SOWs, and staffing agreements.

Key Skills

International IT Staffing Sales, Staff Augmentation, Business Development, Enterprise Sales,

Consultative Selling, Lead Generation, Account Management, CRM, Contract Negotiation, AI

Hiring, Product Engineering, Cloud & DevOps Staffing.

Success Metrics

Revenue achievement, new client acquisition, qualified pipeline, conversion rate, gross margin,

client retention, and customer satisfaction.

Why Join Knacklabs.ai

Work with global startups and enterprises, sell high-demand AI talent solutions, enjoy a

collaborative culture, competitive compnsation, and strong career growth opportunities

FORWARD DEPLOYED ENGINEER (FDE)

Engineering · Customer Solutions

Department: Engineering / Customer Solutions

Location: Hyderabad, India (on-site with customer travel as needed)

Employment Type: Full-Time

Reports To: Head of Customer Engineering

ABOUT KNACKLABS.AI

knacklabs.ai builds AI-powered products and platforms that help organizations turn complex workflows into simple, reliable

systems. We work closely with customers to deploy real solutions to real problems — not just ship features. As we scale, we're

looking for engineers who are as comfortable in front of a customer as they are in a codebase.

ROLE OVERVIEW

As a Forward Deployed Engineer at knacklabs.ai, you will sit at the intersection of engineering and customer success. You'll

embed directly with customer teams to understand their workflows, rapidly prototype and ship solutions using our platform, and

turn those learnings into product improvements. This role is ideal for engineers who want high ownership, fast feedback loops,

and direct exposure to how their code changes a customer's business.

KEY RESPONSIBILITIES

● Customer Embedding: Work directly with customers to understand their business processes, pain points, and technical environments.

● Solution Building: Design, build, and deploy custom products, ERP Systems, workflows automation and product development.

● Product Feedback Loop: Turn one-off customer builds into reusable, generalizable features by working closely with

the core product and engineering teams.

● Rapid Prototyping: Write production-quality code under real deadlines, balancing speed with maintainability.

● Technical Troubleshooting: Debug issues across the stack — from data pipelines to APIs to front-end integrations —

in live customer environments.

● Ongoing Ownership: Own the technical relationship with select customers post-deployment, ensuring solutions remain

stable and scale with their needs.

● Travel: Travel to customer sites as needed (expected occasionally, varies by account).

REQUIRED QUALIFICATIONS

● 6-10 years of professional software engineering experience, ideally including customer-facing or implementation work.

● Strong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full stack.

● Experience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).

● Demonstrated ability to work independently in ambiguous, fast-changing environments.

● Strong communication skills — able to explain technical tradeoffs clearly to both engineers and non-technical stakeholders.

● A bias toward action: comfortable shipping a working solution today rather than a perfect one next month.

PREFERRED QUALIFICATIONS

● Prior experience as a Forward Deployed Engineer, Solutions Engineer, or in a consulting/implementation role.

● Experience working with AI/ML products, LLM-based applications, or data-intensive systems.

● Familiarity with enterprise environments, integration patterns, and security/compliance considerations.

● Startup experience, or comfort with the pace and scope changes that come with an early-stage company.

WHAT WE OFFER

● The opportunity to see your work directly and immediately impact real customers.

● A high-ownership role with a direct path into product and engineering leadership.

● Competitive compensation

● A collaborative, fast-moving team building at the frontier of applied AI.

The Role:

We are looking for a Software Development Engineer (Android) to join our Core Payments team at Razorpay. In this role, you will be responsible for developing and scaling our Android SDK, the critical integration point used by thousands of merchants to process payments across multiple geographies.

You will work closely with product and backend engineering teams to design high-performance features, ensuring the SDK remains secure, lightweight, and developer-friendly. This role offers the opportunity to solve complex engineering challenges involved in building financial infrastructure that operates at massive scale.

Roles and Responsibilities:

• SDK Development: Contribute to the development of our native Android SDK, ensuring high availability and seamless payment experiences for a diverse merchant base across a highly fragmented device and OS ecosystem.
• Engineering Excellence: Write clean, maintainable, and modular code. Architect solutions that are resilient across different host app environments, OEM customisations, and Android OS versions.
• Automation: Design and implement robust automation for tests, builds, and performance profiling. If a task is repetitive, you are expected to automate it.
• Instrumentation: Build deep telemetry within the SDK to provide real-time insights into success rates and latency, enabling data-driven product decisions.
• Security: Implement industry-standard security protocols, including SSL pinning, ProGuard/R8 obfuscation, and runtime integrity/root-detection checks, to protect sensitive transaction data.

Mandatory Qualifications:

• 2+ years of experience in native Android development using Kotlin (working knowledge of Java is expected for legacy interoperability).
• Systems Design: Solid understanding of OOPS principles and architectural patterns (e.g., MVVM, MVI, or Clean Architecture).
• Cross-Platform Knowledge: Practical experience with bridge-based frameworks such as Flutter, React Native, or Cordova.
• Technical Depth: Strong proficiency in Kotlin Coroutines/Flow, Jetpack libraries, Activity/Fragment lifecycles, and both XML Views and Jetpack Compose.
• Debugging: Proficiency in using Android Studio Profiler, LeakCanary, and network inspection tools for memory management, CPU profiling, and network debugging.

Good to Have:

• iOS Stack Experience: Familiarity with Swift is highly preferred to help maintain feature parity and align API design across platforms.
• Deployment & Tooling: Knowledge of Gradle build customisation, publishing to Maven Central, and CI/CD tooling (e.g., Fastlane, GitHub Actions) for automated distribution.
• Open Source: Active contributions to GitHub or a portfolio of apps published on the Google Play Store.

Location: Bangalore

Location: Hyderabad (Hybrid)

At KnackLabs, the AI innovation arm of CAW Studios, we help enterprises transform their businesses through AI Agents, Voice AI, Enterprise Automation, and AI-native products.

Our team builds production-grade AI systems that solve real-world business problems using Large Language Models (LLMs), Agentic AI, and modern engineering practices.

If you're passionate about quality and excited to work on the next generation of AI-powered applications, we'd love to hear from you.

Key Responsibilities

● Understand business requirements and create effective test scenarios and test cases.

● Perform Functional, Regression, Integration, Smoke, Sanity, Exploratory, and UI testing.

● Execute end-to-end testing for web applications, APIs, and AI-powered features.

● Validate AI-based applications such as chatbots and LLM-powered workflows for expected behavior, accuracy, and usability.

● Perform API testing using Postman or Swagger.

● Identify, report, track, and verify defects using Jira or similar tools.

● Validate application data using basic SQL queries.

● Collaborate with developers, product managers, and AI engineers in Agile teams.

● Maintain test cases, test execution reports, and QA documentation.

● Participate in sprint planning, release validation, and QA reviews. Required Technical Skills

● Good understanding of SDLC, STLC, and software testing fundamentals.

● Knowledge of Functional, Regression, Integration, Smoke, Sanity, and Exploratory Testing.

● Hands-on experience with Postman for API testing.

● Familiarity with Jira or similar bug tracking tools.

● Basic knowledge of SQL, REST APIs, JSON, and HTTP methods.

● Understanding of Agile/Scrum methodologies.

● Exposure to Selenium, Cypress, or Playwright is an added advantage.

Basic AI Knowledge (Preferred)

● Basic understanding of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs).

● Familiarity with AI tools such as ChatGPT, Gemini, Claude, or similar. ● Basic understanding of prompt-based applications and AI chatbots.

● Awareness of testing AI-generated responses for accuracy, consistency, and edge cases.

● Curiosity to learn and work on AI and Agentic AI applications. Qualifications & Skills

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

● 0–2 years of experience in Manual Testing (internships, academic projects, or full-time experience).

● Strong analytical and problem-solving skills.

● Excellent attention to detail and documentation.

● Good verbal and written communication skills.

● Self-driven, collaborative, and eager to learn emerging technologies.

Good to Have Manual Testing

• API Testing • Postman • Jira • SQL • REST APIs • JSON • Agile • Selenium/Cypress (Basic) • AI & LLM Basics • ChatGPT/Gemini • Prompt Validation

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

About the Role

We are looking for a senior backend engineer to build the infrastructure that powers AI agents in enterprise environments. You will work on systems that securely run, manage, monitor, and govern AI agents as they interact with users, business applications, and external tools.

This role combines backend engineering, distributed systems, AI agent infrastructure, security, and platform development.

Responsibilities

• Build and maintain the core runtime that manages AI agent execution and lifecycle.
• Develop systems for message processing, task orchestration, queue management, and recovery from failures.
• Design secure communication and execution boundaries between AI agents and the host platform.
• Build and enhance sandboxed environments for safe tool and code execution.
• Develop scalable backend services, APIs, and platform components.
• Build admin interfaces and APIs for configuring agents, permissions, approvals, and audits.
• Implement capability, access control, and permission management systems.
• Develop durable memory and state management systems for AI agents.
• Build integrations with communication platforms, business applications, and external systems.
• Improve platform reliability, observability, security, and performance.
• Collaborate closely with engineering teams to design, develop, test, and ship new capabilities.

Required Skills & Experience

• 5+ years of backend software engineering experience.
• Strong proficiency in TypeScript, Node.js, or another modern typed programming language.
• Experience building scalable, distributed, and event-driven systems.
• Strong understanding of databases, transactions, queues, background workers, and system reliability.
• Experience designing and building REST APIs and backend services.
• Hands-on experience using AI coding tools and assistants in daily development workflows.
• Understanding of AI agent frameworks, agent workflows, tool calling, context management, or agent orchestration concepts.
• Strong knowledge of system design, security principles, authentication, authorization, and access control.
• Experience debugging, optimizing, and maintaining production systems.
• Ability to work independently in large codebases and deliver high-quality solutions.

Good to Have

• Experience with AI agent frameworks or SDKs.
• Experience building developer platforms, admin consoles, or management systems.
• Knowledge of sandboxing, process isolation, containers, or secure execution environments.
• Experience with distributed systems concepts such as ordering, retries, idempotency, and fault recovery.
• Experience designing extensible architectures and integration platforms.
• Exposure to AI infrastructure, LLM applications, or autonomous agent systems.

What We're Looking For

• Strong backend engineering fundamentals.
• Security-first mindset.
• Experience building reliable production systems.
• Interest in AI agents and AI infrastructure.
• Ability to move quickly, solve complex technical problems, and work in a fast-paced environment.

The Role

We are looking for a Senior Product Manager to embed on-site with one of CAW's enterprise customers — sitting with their functional leaders, understanding their workflows, identifying the highest-ROI automation opportunities, and prototyping solutions yourself using AI-assisted development tools like Claude Code or OpenAI Codex.

This is not a project management role. We are looking for someone with strong business analysis chops who can walk into a domain they've never worked in, study it quickly, break down complex workflows, and figure out what to build. You should have a coding background and be able to prototype working solutions yourself — not just write specs and hand them off. You stay involved throughout production so nothing is lost in the communication between the customer and our remote engineers.

You are the one person the customer sees. The building and running happen behind you, at CAW HQ, on Gantry.

A Typical Week

Monday–Tuesday: Interview functional leaders and their team members to gain a deep understanding of their current processes, pain points, and undocumented workflows. Map what you find.

Wednesday: Apply structured prioritization frameworks (RICE, ICE, or equivalent) to rank discovered use cases by ROI. Classify each problem as deterministic automation, AI automation, an AI agent (built on Gantry), or a Custom Ops Platform (COP) opportunity — and draft the solution approach in collaboration with CAW's engineering and AI architects at HQ.

Thursday: Present the top problems and proposed solutions to the functional leader for buy-in. Get alignment on what to tackle first.

Friday and the following week: Prototype the solution using Claude Code, Codex, or equivalent AI-assisted development tools. Target: a working prototype in under a week. Present the prototype to the functional team, collect feedback, and iterate until it meets their needs. Once validated, draft a proposal to productionize it on Gantry (or as a COP) in collaboration with HQ, and drive approval from the functional head.

Ongoing: Spend a few hours daily collaborating with CAW's engineering teams at HQ to keep productionizing on track — while simultaneously starting discovery on the next problem with the next functional leader.

Key Responsibilities

Use Case Mining & Discovery

• Embed on-site with the customer. Sit with functional leaders across departments — operations, finance, CX, supply chain, HR — to understand their workflows, pain points, and priorities.
• Don't wait for requirements to be handed to you. Proactively identify problems CAW can solve with agents on Gantry or with a Custom Ops Platform. Prioritize ruthlessly based on business impact, technical feasibility, and speed to value.
• Run structured discovery sessions. Map workflows. Document undocumented processes. Find the use cases the customer doesn't even know they have.
• Build a use-case pipeline: a ranked, living backlog of agent and COP opportunities for you and the customer's leadership to review regularly. This backlog is how the account grows.

Solution Design & Rapid Prototyping

• Classify each problem as deterministic automation, AI automation, an AI agent, or a COP. Draft solution approaches in collaboration with CAW HQ architects.
• Prototype solutions yourself using Claude Code, Codex, or equivalent AI-assisted development tools. A working demo in under a week is the standard.
• Translate validated prototypes into structured specs — clear problem statements, acceptance criteria, scope boundaries, and success metrics — that CAW's engineers can productionize on Gantry without ambiguity.
• Work in tight weekly cycles: discover, prototype, validate, spec, hand off for production — and stay involved through delivery.

Customer Relationship & Adoption

• You represent CAW inside the customer's organization. Build deep trust with functional leaders and CXOs.
• Own delivery timelines, customer expectations, and escalations. You are the single point of accountability the customer sees.
• Ensure what gets built is what gets used. Drive adoption by working with the customer's end users, running training sessions, and instrumenting usage metrics.
• Know when to push (the customer is avoiding a hard decision) and when to listen (there's a real constraint you haven't understood yet).

Platform & Product Feedback Loop

• Surface structured insights back to the Gantry product team: capability gaps, integration friction, customer objections, and use case patterns that should become reusable agents or platform features.
• Spot which agents and patterns are reusable across customers so they can be added to CAW's library and accelerate the next engagement. Flag when a customer ask is a one-off vs. when it's a pattern many customers share.
• Deliver actionable, prioritized field intelligence — not a dump of Slack messages. Your feedback directly informs the Gantry roadmap.

What We're Looking For

• 4–7 years of experience in a customer-facing product or business analysis role, such as Product Manager, Business Analyst, Solutions Consultant, or Forward Deployed Engineer at a SaaS/AI company.
• Coding background - You have written code professionally or as part of product work. You understand APIs, data flows, and system architecture well enough to prototype, not just spec.
• Demonstrable AI-assisted development experience. Show us products, prototypes, or internal tools you have built using Claude Code, OpenAI Codex, Cursor, or equivalent tools. We want to see output, not claims.
• Heavy business analysis experience. You have demonstrable examples of walking into a domain with vague or undefined requirements, studying it deeply, and cracking the problem. We are not looking for project managers who track tickets — we want people who figure out what the tickets should be.
• Strong speccing discipline. You can write a clear, buildable spec with acceptance criteria that an engineer can work from without ambiguity.
• Client-facing experience. Proven ability to run discovery with enterprise customers, manage stakeholders with competing priorities, and build trust with functional leaders and CXOs.
• Comfort with ambiguity. You will walk into customer organizations with no playbook. You need to figure out what matters, fast.
• Excellent communication. You can translate between a non-technical business leader and an engineer in the same meeting.
• Willingness to be on-site. This is an embedded role, not a remote one.
• Experience with AI/ML platforms, agent frameworks, automation tools, or enterprise SaaS is strongly preferred.
• A bias toward doing, not analyzing. You are measured by use cases shipped to production and prototypes that land, not decks presented.

Role:

We're scaling an AI platform that powers Computer Vision and real-time video analytics, and we need someone to own the architecture, not just contribute to it. Our AI workloads are moving to the cloud, our models need hardening for production, and our engineering practices need a north star. The gap between prototype and production is costing us velocity.

Responsibilities:

• Architect and govern the end-to-end AI platform from data lake to model serving on AWS (SageMaker preferred).
• Lead cloud migration of AI workloads with a cloud-native, containerised approach (Docker, Kubernetes, CI/CD).
• Own the AI roadmap model accuracy, MLOps maturity, observability, and scalability.
• Set engineering standards across ML development, deployment, and monitoring.
• Mentor engineers and data scientists; reduce key-person dependency across the org.
• Drive productionisation, turn research into reliable, monitored, high-performance systems.

Requirements:

• Deep expertise in Computer Vision, Deep Learning, and Video/Real-Time Analytics.
• Fluency in PyTorch and/or TensorFlow, Python, and ML architecture patterns.
• Hands-on with AWS SageMaker, Docker, Kubernetes, CI/CD pipelines.
• Experience with model monitoring, observability tools, and data lake architectures.
• A track record of leading AI strategy, not just executing it.

About the Role

We're looking for a hands-on AI Architect to lead the design and delivery of AI-native applications. You will define the AI stack, establish engineering standards, and drive adoption of AI-assisted development across teams.

Responsibilities

• Architect and build production-grade AI applications.
• Evaluate and standardize AI frameworks, tools, and platforms.
• Design agentic systems, RAG pipelines, and AI workflows.
• Establish AI evaluation, testing, guardrails, and observability practices.
• Drive AI-native development and delivery acceleration initiatives.
• Partner with engineering and product teams on technical roadmap decisions.

Requirements

• 7+ years of software engineering experience.
• Strong experience with LLMs, RAG, embeddings, prompt engineering, and agent frameworks.
• Experience with LangGraph, AutoGen, MCP, or similar ecosystems.
• Hands-on experience with AI evaluations (DeepEval, Ragas), guardrails, and structured outputs.
• Strong Python and TypeScript/Java skills.
• Experience with Kubernetes, CI/CD, IaC, observability, and event-driven architectures.
• Proven experience shipping AI applications to production.