Business Developer

Job Role: Tax Operations Associate

Location: Gurugram (Onsite)

Shift: Rotational Shift | 5 Days Working | Rotational Week Offs

Employment Type: Full-time

Experience: Minimum 6 months of relevant experience

Education: Graduate or Undergraduate

Benefits: Both-side cab facility

Job Overview:

We are hiring a detail-oriented professional to support backend operations in tax compliance, documentation, and statutory reporting.

Key Responsibilities:

• Ensure timely and accurate filing of GST, TDS/TCS, and Income Tax returns

• Prepare tax computations, reconciliations, and compliance reports

• Maintain documentation and assist during statutory, internal, and tax audits

• Monitor TDS/TCS deductions, deposits, and Form 16/16A generation via TRACES

• Handle tax notices, queries, and compliance issues in coordination with consultants

• Ensure adherence to updated tax laws, regulations, circulars, and internal SOPs

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.
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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.

Srijan Technologies is hiring for the DevOps Lead position- Cloud Team with a permanent WFH option.

Immediate Joiners or candidates with 30 days notice period are preferred.

Requirements:-

• Minimum 4-6 Years experience in DevOps Release Engineering. 
• Expert-level knowledge of Git. 
• Must have great command over Kubernetes
• Certified Kubernetes Administrator
• Expert-level knowledge of Shell Scripting & Jenkins so as to maintain continuous integration/deployment infrastructure. 
• Expert level of knowledge in Docker. 
• Expert level of Knowledge in configuration management and provisioning toolchain; At least one of Ansible / Chef / Puppet. 
• Basic level of web development experience and setup: Apache, Nginx, MySQL 
• Basic level of familiarity with Agile/Scrum process and JIRA. 
• Expert level of Knowledge in AWS Cloud Services.

• 8+ years of industry work experience
• Proven experience as a Full Stack Developer or similar role
• 3+ years of web application development with JavaScript as full stack
• Full stack experience designing and building scalable applications from end-to-end 
• Excellent JavaScript / Typescript skills
• Strong proficiency in React (hooks knowledge is plus)
• Strong proficiency in Nodejs
• Good HTML5 / CSS3 skills with expertise on responsive web design 
• Must have Design and development experience in Micro services using NodeJS and TypeScript
• Experience with NoSQL databases such as MongoDB, mongoose, aggregation framework and Redis 
• Experience with Web sockets and related frameworks (e.g. Socket.IO) 
• Experience in using and developing GraphQL APIs
• Experience in performance tuning
• Knowledge of code versioning tools such as Git, Mercurial or SVN.
• Open minded to take up any challenge, research and provide solutions Great attention to detail

• Testing libraries – jest, testing-library is plus
• TDD / BDD experience is plus
• Experience with AWS, K8S, CI/CD is plus
• Familiar with SDLC methodologies like SCRUM, AGILE, Continuous Integration

• Design – Analyze, design & document the system / solution based on the business needs which is scalable, resilient and maintainable with low overhead for both client and server side
• Problem solving – Solve the challenges and problems faced by team by guiding and team with best practices
• Coordinate - Communicate system requirements to developers; explain system structure to them and provide assistance

• • Code Reviews – Perform code reviews 

• • Planning – Plan and assign tasks to team members