TECHNICAL MANAGER (INFRA)

Nurturebox is on a mission to redefine lead generation for the staffing industry with AI-powered precision and insights. We’re seeking a talented AI Scientist to join us in building a next-gen platform that goes far beyond basic lead gen – we’re building an intelligent system designed to deliver warm, qualified leads and actionable buyer insights on demand.

This role is not about plugging into a pre-existing AI stack. You’ll be our first AI hire, bringing your expertise to a ‘plain white canvas’ where you’ll architect and implement our entire AI framework from scratch. Our focus isn’t just on automation but on crafting a solution that actively adapts to industry nuances, incorporating intent data, job listings, and hundreds of signals to zero in on ideal prospects.

Our recruitment product has already gained significant traction, and with you on board, we’re ready to level up to Nurturebox 2.0, pushing the boundaries of personalized, data-driven prospecting. You’ll work alongside our founding team in a flat hierarchy, so there’s zero red tape—just an open runway for innovation. If you’re passionate about tackling complex problems and crave a role where you can directly shape the future of recruiting tech, Nurturebox is where you’ll make your mark.

This is a chance to build a transformative platform from the ground up, with end-to-end ownership and the freedom to create AI-driven solutions that solve real-world staffing challenges. If you’re ready to redefine what’s possible in lead generation, we’d love to meet you.

Why We’re Building This?

By 2030, AI agents/teammates will be embedded in every department of every major enterprise. Engineers, PMs, sales reps—all will work alongside AI "colleagues" that do more than assist; they learn, adapt, and execute autonomously. Imagine hiring AI to do the job, not just assist with it.

At Nurturebox, we’re building that vision specifically for the staffing industry. We know this space inside and out, and we’re crafting a true AI teammate product, not a glorified chatbot or simple co-pilot. This AI is the product—a powerful, adaptive system built to tackle staffing’s unique challenges. 

This is a role to architect something truly groundbreaking from scratch: to create an AI teammate that not only integrates seamlessly but transforms how the staffing industry operates. If you're ready to redefine what AI can do in a business-critical environment, let’s talk about how you could lead the charge with us.

About Ideas2IT (Parent Company)

Ideas2IT is a high-end product development firm growing fast with prestigious logos like Facebook, Bloomberg, Roche, Medtronic, and many exciting SAAS startups.

We have a proven track record of successfully launching 5 startups in the last 6 years. All of them are venture-funded by top-tier firms and have great traction.

• Pipecandy - eCommerce AI. Successfully exited
• Element5 - Healthcare AI. $50M in funding from Insight venture partners
• Carefi.in - Healthcare Fintech. Funded by Sequoia
• IdeaRx - Funded by the second-largest eye care chain in the world
• NurtureBox - Recruitment AI and automation

In this role, you will:

• Conduct deep research on the foundations and capabilities of LLMs.
• Design and implement innovative research projects to explore the application of LLMs for code understanding and generation.
• Develop and evaluate novel techniques for LLM fine-tuning and adaptation to the specific needs
• Collaborate with engineers and other scientists to integrate LLM solutions seamlessly into the Nurturebox platform.
• Stay up-to-date on the latest advancements in LLM research and present findings at conferences and within the company.
• Build a RAG-based solution and leverage Vector DB, Graph DB, chunking, ranking, indexing, semantic search, etc.

You are the ideal candidate if you have:

• Strong foundation skills in AI/ML systems
• Hands-on experience of working with LLMs
• Proven experience conducting deep research on LLMs, with a strong understanding of their architecture, training methods, and capabilities.
• Expertise in natural language processing (NLP) techniques, including text representation, machine translation, and text summarization.
• A solid foundation in machine learning fundamentals, including deep learning architectures and optimization algorithms.
• Excellent programming skills in Python, with experience using popular deep learning libraries (e.g., TensorFlow, PyTorch). 
• Excellent communication and collaboration skills, with the ability to effectively present complex technical concepts to technical and non-technical audiences.
• A passion for innovation and a desire to push the boundaries of what's possible with LLMs.
• Knowledge of LLM evaluation methodologies

Bonus points for:

• Experience working with LLM for codebase
• Experience in building and deploying real-world LLM applications.
• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP).
• A strong publication record in top AI and NLP conferences and journals.

At Nurturebox, you'll join a team of passionate individuals working on the cutting edge of AI. We offer a collaborative and stimulating work environment, competitive compensation and benefits, and the opportunity to impact the future of Agentic AI.

If you're ready to take your LLM expertise to the next level and help us revolutionize Agentic AI transformation, we encourage you to apply! 

Responsibilities

• Ensure that established design standards are consistently and appropriately applied within design work
• Engage with product management, engineering, business stakeholders
• Develop and present documentation, user flows, annotated wireframes, and interactive prototypes
• Leverage user testing to make product improvements
• Hands-on designing and creative skills
• Willingness to learn and grow with the organisation
• Understand the brief from the team and come out with out-of-the-box ideas
• Plan and illustrate concepts by designing rough layouts of art and copy regarding arrangement, size, type, style, and related aesthetics.

Qualifications

• Bachelor's degree or equivalent in 
• Proficient in visual design and wireframing tools like Figma
• Well-versed with computer skills in Photoshop or Illustrator and/or Dreamweaver

Job Description - 221135

Cloudera is looking for a highly experienced software engineer with strong expertise in Java development and a specialty in platform architecture to join the Cloudera Lens team.

Cloudera Lens is a high-fidelity, context-rich, and fully correlated self-service observability & optimization tool that analyzes the state and wellness of a customer’s environments and empowers them to proactively discover and address unknown unknowns in their data, scale operations without compromising on performance or costs, and expedite remediation of issues.

As a Java engineer, you will be working in a team of engineers led by an Engineering Manager, collaborating with other engineers and stakeholders in India, United States, and other countries around the globe.

Responsibilities:

• Lead, architecture, design, and implementation of key aspects of the Cloudera Lens data collection, data analytics, data correlations, and recommendations.

• Work with product management, engineering, UX, and documentation teams to deliver high-quality products.
• Interact with partners and customers to help define roadmap and shape the technology.
• Empower team members to deliver high-quality software at a fast pace.

Requirements:

• Proven track record of performance.
• Passionate about software engineering. Clean coding habits, attention to detail, and focus on quality and testability.

• Strong software engineering skills: object-oriented design, data structures, algorithms.
• Experience with containerization orchestration technologies: Kubernetes, Docker.
• Deep knowledge of system architecture, including process, memory, storage, and network management is highly desired.
• Experience with the following: Java, concurrent programming, and related areas.
• Experience with Java memory management, performance tuning and scaling
• Experience in building horizontally scalable products handling multi-terabyte datasets is desirable.
• Experience with relational and non-relational databases: PostgreSQL, Amazon S3.
• Strong oral and written communication skills in English.

Advantageous To Have:

• Experience in building enterprise-grade cloud products.
• Experience with building/using cross-functional observability products.
• BS or MS in computer science.
• Cloud experience: AWS, Azure, GCP.
• Python, Linux, Micro Services experience.

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
• Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
• Career Progression: Senior Full Stack Engineer, Technical Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Angular/React, Strong UI/UX skills
• Very strong python background, TDD, CI/CD,
• Software design skills i.e., OOPs, design patterns
• SQL, NoSQL – design of schemas and databases
• Microservices architecture, Cloud native apps

Good to Have

• Enterprise Design Patterns
• Distributed Systems
• Exposure to ML and Data Science
• Docker, Kubernetes, AKS, Kafka, Graph databases