KnackLabs

Location: Hyderabad, India. Based at the KnackLabs headquarters, with occasional travel to client locations for workshops and reviews. This role does not involve extended onsite deployments.

About the Role

You will work as an AI Architect who designs the systems behind our client engagements: AI agents, RAG systems, automation platforms, and the conventional backend systems around them.

This is a hands-on design role, not a slideware role. You will scope architectures with clients, make the hard technical decisions, defend them in review, and stay accountable for how the systems perform in production.

You will work directly with clients. Everyone at KnackLabs does. You will sit in design discussions with client engineering teams, present architecture decisions to technical and business stakeholders, and answer for the choices you make.

A full KnackLabs engineering team in Hyderabad builds with you. You own the technical design and the quality of what ships.

What you'll own

1. Architecture - Design AI agents, RAG systems, integrations, and the scalable backend systems around them, for multiple client engagements.
2. Technical scoping - Work directly with clients to turn a business problem into a system design, with clear trade-offs and clear reasons.
3. Scale and reliability - Make sure what we build handles real load: data stores, queues, caching, horizontal scaling, and fault tolerance.
4. Design reviews - Review designs and builds across engagements. Set the technical bar and hold it.
5. Evaluation strategy - Define how we measure accuracy, safety, latency, and cost for the AI systems we ship.
6. Guiding engineers - Raise the level of the engineers building with you, through reviews and direct pairing.
7. Feedback to the platform - Feed what you learn across engagements back into our platform and internal tools.

What we are looking for

1. Around 7 or more years of software engineering experience, including direct work with customers on design or delivery.
2. Full-stack development experience with strength in backend technologies.
3. Experience designing and building scalable applications. You understand how large-scale distributed systems work: data partitioning, queues, caching, horizontal scaling, and fault tolerance.
4. At least 2 years of strong, hands-on AI experience with large language models in production.
5. You build with AI coding tools like Claude Code or Codex as your default way of working. You understand Claude Skills, have written skills yourself, use them actively, and have contributed to them.
6. Hands-on experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
7. Hands-on experience building AI agents.
8. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
9. Experience with at least one cloud platform (AWS, Azure, or GCP).
10. Clear communication. You can explain an architecture decision to an engineer and to a business leader, and defend it under questioning.
11. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a design.

Nice to have

1. Experience building evaluations to measure accuracy, safety, latency, and cost.
2. Experience with observability and tracing tools such as LangSmith or Braintrust.
3. Experience with on-premises or private cloud (VPC) deployments.
4. Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
5. Experience with data engineering and pipelines.
6. A history of side projects, open source contributions, or products you shipped end-to-end.
7. Experience working at a consulting or professional services firm in a client-facing delivery role.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open-source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, skills, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.

About the Role

You will work as a senior AI engineer who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.

Four behaviors define this role:

1. Go where the work happens. You work onsite with the customer, in the room where decisions are made.
2. Show working software early. You build a prototype in days, not a document in weeks.
3. One person owns the outcome. You are the single point of accountability for the result.
4. Stay after go-live. You keep running and improving the system after launch.

You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.

This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.

What you'll own

1. Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
2. The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
3. The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
4. The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
5. The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
6. Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
7. Feedback to the product - Share what you learn in the field so the vendor's product and our internal tools get better.

What we are looking for

1. Around 4 or more years of software engineering experience, including customer-facing or client delivery work.
2. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
3. A full-stack development experience with strength in backend technologies.
4. Production experience with large language models, including prompt engineering and agent development.
5. You build with AI coding tools like Claude Code or Codex as your default way of working, and you have shipped real apps or agents this way.
6. Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
7. Experience building and deploying AI systems.
8. Experience integrating with APIs and enterprise systems.
9. Experience with at least one cloud platform (AWS, Azure, or GCP).
10. Clear communication. You can explain a technical choice to an engineer and to a business leader.
11. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
12. Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.

Nice to have

1. Experience with on-premises or private cloud (VPC) deployments.
2. Experience with observability and tracing tools such as LangSmith or Braintrust.
3. Experience with data engineering and pipelines.
4. A history of side projects, open source contributions, or products you shipped end-to-end.
5. Experience in embedded or forward-deployed roles before.
6. Experience working at a consulting or professional services firm in a client-facing delivery role.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open-source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.

About the Role

You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.

You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system.

Four behaviors define this role:

1. Go where the work happens. You work onsite with the customer, in the room where decisions are made.
2. Show working software early. You build a prototype in days, not a document in weeks.
3. One person owns the outcome. You are the single point of accountability for the result.
4. Stay after go-live. You keep running and improving the system after launch.

You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.

This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.

What you'll own

1. Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
2. The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
3. The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
4. The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
5. The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
6. Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
7. Feedback to the product - Share what you learn in the field so our platform and internal tools get better.

What we are looking for

1. Around 7 or more years of software engineering experience, including customer-facing or client delivery work.
2. Experience working at a consulting or professional services firm in a client-facing delivery role.
3. A full-stack development experience with strength in backend technologies.
4. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
5. Production experience with large language models, including prompt engineering and agent development.
6. You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.
7. Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
8. Experience building and deploying AI systems.
9. Experience integrating with APIs and enterprise systems.
10. Experience with at least one cloud platform (AWS, Azure, or GCP).
11. Experience building evaluations to measure accuracy, safety, latency, and cost.
12. Clear communication. You can explain a technical choice to an engineer and to a business leader.
13. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
14. Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.

Nice to have

1. Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
2. Experience with on-premises or private cloud (VPC) deployments.
3. Experience with observability and tracing tools such as LangSmith or Braintrust.
4. Experience with data engineering and pipelines.
5. A history of side projects, open source contributions, or products you shipped end-to-end.
6. Experience in embedded or forward-deployed roles before.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Role Overview

We are looking for a hands-on engineering leader who can own technical design and drive end-to-end development of scalable, high-quality systems. This role requires strong architectural depth, coding excellence, and the ability to mentor engineers while building production-grade applications in a fast-paced agile environment.

You will lead by example — designing systems, writing clean code, solving complex problems, and ensuring engineering best practices across the stack.

Key Responsibilities

• Lead technical design and architecture discussions (HLD & LLD).
• Build scalable, modular, and testable systems with strong engineering fundamentals.
• Own complex features end-to-end — design, development, testing, and optimization.
• Write high-quality, production-ready code with strong unit test coverage.
• Ensure clean code practices (SOLID principles, modular design, reusability).
• Drive engineering quality within CI/CD environments.
• Debug and resolve complex issues across distributed systems and APIs.
• Mentor engineers and elevate overall code quality standards.
• Collaborate effectively within agile teams and move with delivery velocity.

Core Technical Requirements

• 8+ years of hands-on software development experience.
• Strong proficiency in:
• Java
• Node.js
• Angular (6+)
• JavaScript / TypeScript
• SQL & MongoDB
• Deep understanding of system design, architecture patterns, and scalable application development.
• Strong debugging capabilities across:
• Distributed services
• API integrations
• UI state management
• Database query performance
• Experience working in CI/CD-driven engineering environments.

GenAI & AI Stack Expertise

• Hands-on experience with GenAI frameworks and LLM integrations.
• Familiarity with:
• LangChain ecosystem
• Hugging Face
• Prompt chaining & orchestration
• Understanding of AI cost optimization strategies.
• Ability to debug AI pipelines and optimize model interactions.

Engineering Expectations

• Strong ownership mindset.
• Ability to design independently and lead technical direction.
• Exceptional problem-solving and debugging skills.
• High attention to detail.
• Comfortable working in fast-paced agile/scrum setups.
• Strong communication and collaboration skills.
• Ability to mentor and guide other engineers.

Educational Qualification

• Bachelor’s degree in Computer Science / Engineering / related field
• or
• Master’s degree in Computer Science / Computer Applications

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

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)

We are seeking a detail-oriented and proactive QA Tester to join our Engineering Team. The ideal candidate will have hands-on experience in both manual and automated testing, with exposure to SaaS or fintech products. This role involves ensuring product quality, reliability, and performance across web applications, APIs, and financial workflows while contributing to scalable automation frameworks and AI-driven testing initiatives. 

Key Responsibilities

• Design, write, and execute detailed test cases, test plans, and regression suites for web and API-based applications.
• Perform functional, regression, integration, and exploratory testing across multiple product modules.
• Build and maintain automated test suites using tools such as Selenium, Cypress, Playwright, or similar frameworks.
• Develop and enhance AI-based test suite creation and automation processes to improve testing efficiency and coverage.
• Test payment workflows, reconciliation logic, financial calculations, and transaction-related systems with high accuracy.
• Conduct API testing using tools such as Postman and REST Assured.
• Validate backend data and perform data integrity checks using SQL queries.
• Collaborate closely with developers, product managers, and business teams to identify, troubleshoot, and resolve defects.
• Participate in sprint planning, requirement reviews, and release validation activities.
• Monitor product quality metrics and contribute to continuous improvement of QA processes and testing standards.
• Ensure timely reporting, tracking, and closure of defects using defect management tools.

Required Experience

• 2–4 years of professional experience in QA / Software Testing for SaaS, fintech, or enterprise products.
• Hands-on experience with both manual and automation testing methodologies.
• Experience in AI-based testing frameworks or intelligent test automation is preferred.
• Exposure to testing financial systems, payment flows, reconciliation logic, or financial calculations is a strong plus.

Qualifications

• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong understanding of software testing lifecycle, QA methodologies, and defect management processes.
• Proficiency in automation tools such as Selenium, Cypress, Playwright, or equivalent frameworks.
• Experience with API testing tools such as Postman and REST Assured.
• Basic to intermediate SQL skills for backend data validation and verification.
• Experience working with Agile / Scrum development environments.
• Strong analytical, debugging, and problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to work collaboratively in cross-functional teams within a fast-paced startup environment.

Preferred / General Requirements

• Experience working with fintech, accounting, payments, or finance automation platforms.
• Familiarity with CI/CD pipelines and automated test execution workflows.
• Understanding of performance, security, and usability testing concepts is an added advantage.
• Passion for delivering high-quality products with strong attention to detail and customer experience.