Business Analyst

About Us

Incubyte is an AI-first software development agency, built on the foundations of software craft, where the “how” of building software matters as much as the “what”. We partner with companies of all sizes, from helping enterprises build, scale, and modernize; to pre-product founders bring their ideas to life. 

Incubees are power users of AI across the SDLC for speed and efficiency. Guided by Software Craftsmanship values and eXtreme Programming practices, we bring velocity together with the discipline of quality engineering to deliver high-impact, reliable solutions – fast. 

Guiding Principles 

• Living and breathing our guiding principles on a daily basis is key to success at Incubyte: 
• Relentless Pursuit of Quality with Pragmatism 
• Striving for exceptional quality without losing sight of practical delivery needs. 
• Extreme Ownership Taking full responsibility for decisions, work, and outcomes. 
• Proactive Collaboration Actively seeking opportunities to collaborate and leverage the team’s collective strengths. 
• Active Pursuit of Mastery Continuously learning, improving, and mastering the craft, never settling for ‘good enough’. 
• Invite, Give, and Act on Feedback 
• Creating a culture of timely, respectful, actionable feedback for mutual growth. 
• Ensuring Client Success Acting as trusted consultants and focusing on delivering true value and outcomes for clients. 

Job Description

This is a remote position.

Role Overview 

As a Software Craftsperson III, your impact is felt at an initiative/pod-level, solving problems with high autonomy, technical depth, and ability to influence team practices. You promote a learning culture within your team; encourage curiosity and simplification.  

At this level, you are expected to apply feedback effectively, mentor others, and contribute meaningfully to team and pod-level impact. You provide timely, trend-based feedback that improves team outcomes; and creates impact by leading up and down. 

At Incubyte, AI is not an add-on but a co-creator in our craft. From refining requirements to reviewing and refactoring code, you’ll pair with AI to explore solutions faster, catch issues earlier, and raise the quality bar continuously. AI accelerates how we learn, experiment, and deliver — enabling you to focus on solving the right problems with impact while being tech and domain agnostic – true consultants at heart. 

Responsibilities 

• Take responsibility for the full lifecycle of an initiative, independently managing production readiness gaps and escalations. 
• Design and deliver features of end-to-end, balanced scope, quality, and maintainability. 
• Identify technical or product issues beyond the immediate scope of work. 
• Identify process waste using DevEx and DORA principles and drive improvements. 
• Support estimation, vertical slicing, and MVP discussions. 
• Drive initiative-level improvements in flow and quality. 
• Communicate effectively at the appropriate level of abstraction with both team and client. 
• Provide timely, trend-based feedback. 
• Lead through ambiguity by clarifying priorities, aligning stakeholders, and keeping the team focused on outcomes. 
• Promote a learning culture within the team. 
• Mentor engineers to raise team performance. 
• Shape team practices related to code quality, tooling, and process. 
• Use AI to accelerate design, testing, and delivery. 

Requirements

What We’re Looking For 

• 4+ years of overall software engineering experience, with 2+ years of hands-on experience applying ML/AI in production, including LLM-based applications and document processing systems
• Strong proficiency in Python or TypeScript (one must be strong), with openness to picking up the other, and solid expertise in object-oriented programming, data structures, algorithms, and software engineering practices
• Hands-on experience building production applications using foundational LLMs (GPT, Claude, Gemini, or similar) for document classification, entity extraction, and structured data extraction
• Strong experience in prompt engineering, refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs from business documents (PDF, Word, Excel)
• Experience with LLM orchestration and agentic frameworks (LangChain, LlamaIndex, Mastra, Agno), vector databases (Pinecone, PgVector, Qdrant), and LLM observability tools (LangSmith, DeepEval)
• Experience designing and operating scalable document processing pipelines leveraging LLM APIs, including classification, metadata generation, entity extraction, and routing
• Strong system design and LLMOps experience, including CI/CD, TDD, prompt versioning, testing, monitoring, cost optimization, and reliable production deployments
• Experience working in Agile and eXtreme Programming environments with continuous deployment practices
• Working knowledge of web server ecosystems, relational databases, server configuration and deployment infrastructure, and performance optimization
• Experience using source control and bug tracking systems, writing user stories, and maintaining clear technical documentation

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Benefits 

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance 

Job Title: AI Engineer

Location: Bangalore, India

About Us:

Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.

Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.

Role Overview:

As an AI Engineer on the Capacity team, you will design, build, and deploy the intelligent systems that power our AI Tutor and Simulation Lab.

You’ll collaborate closely with prompt engineers, product managers, and full-stack developers to build scalable AI features that connect language, reasoning, and real-world learning. This is not a traditional ML ops role,  it’s an opportunity to engineer how intelligence flows across the product: from tutoring interactions to real-time physics reasoning.

Your Core Impact

• Build the AI backbone that drives real-time tutoring, contextual reasoning, and simulation feedback.
• Translate learning logic and educational goals into deployable, scalable AI systems.
• Enable the AI Tutor to think, reason, and respond based on structured academic material and live learner inputs.

Key Responsibilities:

1. AI System Architecture & Development

• Design and develop scalable AI systems that enable chat-based tutoring, concept explainability, and interactive problem solving.
• Implement and maintain model-serving APIs, vector databases, and context pipelines to connect content, learners, and the tutor interface.
• Contribute to the design of the AI reasoning layer that interprets simulation outputs and translates them into learner-friendly explanations.

2. Simulation Lab Intelligence

• Work with the ML team to integrate LLMs with the Simulation Lab; enabling the system to read experiment variables, predict outcomes, and explain results dynamically.
• Create evaluation loops that compare student actions against expected results and generate personalized feedback through the tutor.
• Support the underlying ML logic for physics-based prediction and real-time data flow between lab modules and the tutor layer.

3. Model Integration & Optimization

• Fine-tune, evaluate, and deploy LLMs or smaller domain models that serve specific platform functions.
• Design retrieval and grounding workflows so that all model outputs reference the correct textbook or course material.
• Optimize performance, latency, and scalability for high-traffic, interactive learning environments.

4. Collaboration & Research

• Partner with Prompt Engineers to ensure reasoning consistency across tutoring and simulations.
• Work with Product and Education teams to define use cases that align AI behavior with learning goals.
• Stay updated with new model capabilities and research advancements in RAG, tool use, and multi-modal learning systems.

5. Data & Infrastructure

• Maintain robust data pipelines for model inputs (textbooks, transcripts, lab data) and evaluation sets.
• Ensure privacy-safe data handling and continuous model performance tracking.
• Deploy and monitor AI workloads using cloud platforms (AWS, GCP, or Azure).etc.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Eagerness to learn, innovate and deliver impactful results.
• 
  

Required Qualifications & Skills

• 3–4 years of experience in AI engineering, ML integration, or backend systems for AI-driven products.
• Strong proficiency in Python, with experience in frameworks like FastAPI, Flask, or LangChain.
• Familiarity with LLMs, embeddings, RAG systems, and vector databases (Pinecone, FAISS, Chroma, etc.).
• Experience building APIs and integrating with frontend components.
• Working knowledge of cloud platforms (AWS, GCP, Azure) and model deployment environments.
• Understanding of data structures, algorithms, and OOP principles.

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SHIFT TIMING- 9:30AM TO 6:30 PM

INTERVIEW LOCATION -Remote

SALES EXPERIENCE IS MUST

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

We are looking for developers who are passionate about Python and know what are the benefits of python well.

Responsibilities:

• Design & implement new software modules based on the product requirements
• Debug existing software components, fix issues, and avoid regressions
• Be proactive, take ownership, and be accountable
• Familiar with Test Drive Development.
• Participate in software architecture, design discussions, and code reviews

Technologies we’re hiring for:

• Developed HTTP based REST APIs and implemented Authentication, Caching
• Worked with relational and NoSQL databases and aware of concepts like ORM, Migrations
• Languages & Frameworks: Python Django/Flask
• Database: Postgres/ Mongo
• Must have worked in a Unix/Linux based environment
• Advanced middleware like RabbitMQ, Celery Beat is definitely a plus.

Minimum 3+ year hands-on experience in Python needed

• Discussing potential projects and their parameters with clients, executives, and software developers.
• Planning out the blueprints for software projects, including defining the scope, allocating resources, setting deadlines, laying out communication strategies, and indicating tests and maintenance.
• Assembling and leading the project team.
• Participating in and supervising each stage of the project.
• Ensuring each project stays on schedule and adheres to the deadlines.
• Creating a project budget and ensuring the project adheres to the budget as closely as possible.
• Determining and overseeing consistent testing, evaluation, and troubleshooting of all products in all stages of completion.
• Tracking milestones, deliverables, and change requests.
• Serving as a liaison to communicate information regarding changes, milestones reached, and other pertinent information.
• Delivering completed software products to clients and performing regular checks on the products' performance.

Skills:

Expertise in Front-end development taking into account response times, and optimize rendering

Extremely strong analytical skills

Good Design Skills would be great

Culture:

Ability to work independently with minimal supervision

Happy to deal with, and contribute to, an environment of daily builds

Has worked in small teams, is versatile

Desirable Social Attributes:

Has contributed to one or more Open Source projects through own initiative

Has provided a high quality answer to a question posted on StackOverflow

Role:

As an Android Developer who would work independently, the candidate is expected to actively acquire problems and deliver solutions. He/she would be required to produce software of the highest quality through self-discipline, clear and engaged communication, and attention to detail. The role would include custom web application development on (most typically on React.js, Angular), version control (github), testing (necessarily through test scripts written before code is written), daily builds and eventual deployment.

Attributes of the ideal candidate:

Highly productive software developer with the proven aptitude to understand and apply technology

Always learning, evolving, and sharing what you know

Open-minded, flexible, and curious about new and better ideas

Interest and background in visual design (interaction design, information graphics, data visualization) is desired and valued but not strictly required

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