Quality Engineer

Cloud Expertise(Azure):

• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.

• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.

• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).

• Understanding on policies and security aspects of cloud.

Kubernetes & Helm:

• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.

• Understand of Kubernetes templates and its deployment.

• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.

• Implement Kubernetes best practices, including security, networking, and scaling.

• Concepts of Docker and Containers

CI/CD & Programming:

• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).

• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.

• Proven skill in python programming and concepts.

Monitoring and Observability:

Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.

• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.

Skills :-

● Prior experience in business development in IT sales

● Excellent communication and interpersonal skills

● Strong negotiation and presentation skills

● Ability to build relationships with clients and understand their needs

● Bachelor's degree in Business Administration or related field

● Proficiency in MS Office and CRM software

Role Description

● Providing full support to clients.

● Understanding their queries and solving their issues

● Coordinating with Technical team to discuss client’s issue

● Emailing the client and providing chat support

● Making prospect and introduce the company’s product in the market.

● Business Development Executive will be responsible for identifying business growth opportunities, building client relationships, and driving revenue generation through sales strategies.

Interview Process:

There will be 2 round of interview -

1) Online

2) Face to face

Salary: As per the market and performance in the interview

Job Description: Enterprise Account Executive – B2B (EdTech Industry)

Position Title: Enterprise Account Executive – B2B

Location: Bangalore (Onsite)

Working Days: 5 Days a Week

Industry: EdTech & SAAS Preferred (B2B Enterprise Sales)

Experience Required: 2–8 Years

Target Market Exposure: Africa / UAE / KSA / Saudi Arabia/Europe

Product: Product Portfolio (Certification & Corporate Programs)

About the Role

We are looking for a highly driven and target-oriented Enterprise Account Executive

from the EdTech industry with strong expertise in B2B enterprise sales. The ideal

candidate must have proven experience in lead generation using AI tools, CXO-

level engagement, objection handling, and final commercial deal closure.

This role requires someone who can independently manage the full sales cycle—

from prospecting to final contract sign-off—and consistently close enterprise deals

every quarter.

Key Responsibilities

Own and manage the complete enterprise sales cycle (Lead → Demo → Proposal →

Negotiation → Closure).

Generate high-quality enterprise leads using AI-based lead generation tools

(LinkedIn Sales Navigator, Apollo, ZoomInfo, AI prospecting tools, etc.).

Engage and build relationships with CXO-level stakeholders (CHRO, CLO, L&D

Heads, HR Tech Leaders). Conduct consultative selling aligned with client HR &Learning transformation goals. Expertly handle enterprise-level objections and

commercial negotiations. Drive final commercial closure, including pricing

discussions, contracts, and payment terms. Achieve and exceed quarterly revenue. targets consistently. Develop strategic expansion plans within key regions: Africa, UAE, KSA, Saudi markets.

Collaborate with internal teams (Pr-sales, Product, Marketing, Customer Success).

Maintain accurate pipeline forecasting and reporting in CRM.

Required Skills & Expertise

Strong experience in B2B Enterprise Sales (EdTech mandatory).

Demonstrated success in closing large-ticket enterprise deals.

Expertise in: AI-powered lead generation tools

Advanced objection handling techniques

Commercial negotiation & final closure

CXO-level relationship management

Deep understanding of HR Tech / Learning & Development ecosystem.

Strong exposure to international markets (Africa / UAE / KSA preferred).

Target-oriented with consistent quarterly deal closures.

Strong presentation, communication, and strategic selling skills

Experience in approaching: CEO (in SMEs)

CHRO / HR Director

Head of L&D

COO

Business Unit Heads:

Government Training Heads (if applicable)

Key Competencies

Hunter mindset with strategic thinking

High ownership & accountability

Commercial acumen

Data-driven sales approach

Strong negotiation & persuasion skills

Ability to close complex, multi-stakeholder deals

Performance Expectations

Close enterprise deals successfully every quarter.

Maintain strong pipeline health (3X–4X of target).

Build strategic accounts and long-term client partnerships.

Contribute to revenue growth in international markets.

Why Join Us?

Opportunity to work in a fast-growing EdTech environment

Exposure to global enterprise markets

Performance-driven growth and incentive structure

Leadership visibility and CXO-level engagement & Promotions, and IJP

Incentives Quarterly: 1 LPA to 3 LPA As per Closure

Soft Skills Trainer — Key Responsibilities

• Assess training needs and identify areas for development.
• Design and develop interactive training materials (presentations, handouts, self-assessments).
• Deliver engaging workshops and training sessions (in-person or virtual).
• Provide one-on-one coaching and constructive feedback.
• Track trainee progress and evaluate program effectiveness.
• Collaborate with stakeholders to align training with organizational goals.
• Stay current with industry trends and adapt training accordingly.

Required Qualifications & Competencies

• Bachelor’s degree in fields like Human Resources, Education, Psychology, or a related discipline.
• Proven experience in training delivery or facilitation.
• Strong communication, public speaking, and presentation skills.
• Excellent interpersonal skills—empathy, active listening, and motivational coaching.
• Organizational strength: adept at planning, time management, and performance tracking.
• Familiarity with instructional design or training methodologies is a plus.
• Tech-savviness, including comfort with presentation tools and learning platforms.

Founding Engineer - LITMAS

About LITMAS

LITMAS is revolutionizing litigation with the first AI-powered platform built specifically for elite litigators. We're transforming how attorneys research, strategize, draft, and win cases by combining comprehensive case repositories with cutting-edge AI validation and workflow automation. We are a team incubated by experienced litigators, building the future of legal technology.

The Opportunity

We're seeking a Founding Engineer to join our core team and shape the technical foundation of LITMAS. This is a rare opportunity to build a category-defining product from the ground up, working directly with the founders to create technology that will transform the US litigation market.

As a founding engineer, you'll have significant ownership over our technical architecture, product decisions, and company culture. Your code will directly impact how thousands of attorneys practice law.

What You'll Do

• Architect and build core platform features using Python, Node.js, Next.js, React, and MongoDB
• Design and implement production-grade LLM systems with advanced tool usage, RAG pipelines, and agent architectures
• Build AI workflows that combine multiple tools for legal research, validation, and document analysis
• Create scalable RAG infrastructure to handle thousands of legal documents with high accuracy
• Implement AI tool chains to provide agents tool inputs
• Design intuitive interfaces that make complex legal workflows simple and powerful
• Own end-to-end features from conception through deployment and iteration
• Establish engineering best practices for AI systems including evaluation, monitoring, and safety
• Collaborate directly with founders on product strategy and technical roadmap

The Ideal Candidate

You're not just an AI engineer, you're someone who understands how to build reliable, production-grade AI systems that users can trust. You've wrestled with RAG accuracy, tool reliability, and LLM hallucinations in production. You know the difference between a demo and a system that handles real-world complexity. You're excited about applying AI to transform how legal professional’s work.

What We're Looking For

Must-Haves

• Deployed production-grade LLM applications with demonstrable experience in:
• Tool usage and function calling
• RAG (Retrieval-Augmented Generation) implementation at scale
• Agent architectures and multi-step reasoning
• Prompt engineering and optimization
• Knowledge of multiple LLM providers (OpenAI, Anthropic, Cohere, open-source models)
• Background in building AI evaluation and monitoring systems
• Experience with document processing and OCR technologies
• 3+ years of production experience with Node.js, Python, Next.js, and React
• Strong MongoDB expertise including schema design and optimization
• Experience with vector databases (Pinecone, Weaviate, Qdrant, or similar)
• Full-stack mindset with ability to own features from database to UI
• Track record of shipping complex web applications at scale
• Deep understanding of LLM limitations, hallucination prevention, and validation techniques

Tech Stack

• Backend: Node.js, Express, MongoDB
• Frontend: Next.js, React, TypeScript, Modern CSS
• AI/ML: LangChain/LlamaIndex, OpenAI/Anthropic APIs, vector databases, custom AI tools
• Additional: Document processing, search infrastructure, real-time collaboration

What We Offer

• Significant equity stake true ownership in the company you're building
• Competitive compensation commensurate with experience
• Direct impact your decisions shape the product and company
• Learning opportunity work with cutting-edge AI and legal technology
• Flexible work remote-first with a global team
• AI resources access to latest models and compute resources

Interview Process

One more thing: Our process includes deep technical interviews and fit conversations. As part of the evaluation, there will be an extensive take-home test that should expect to take at least 4-5 hours depending on your skill level. This allows us to see how you approach real problems similar to what you'll encounter at LITMAS.

Role - Operations Head

Company - Ankit Roadways

Salary Range - 20-25k

Location - Telibandha Raipur

Job Responsibilities :

Develop a monitoring system and oversight tool to ensure the tracking of the software's data is standardized

Planning, organizing, and managing subordinate staff members ensures work is completed and consistent with company standards

Client handling. Provide assistance to vendors/clients as and when required

Generate and maintain a record of purchase/sales bills and vouchers, including advance vouchers

Coordinate with different departments, Accounts and Logistics for daily operations

Qualification/Skills :

Good Communication Skills

Ability to work well with team members and navigate stressful situations.

Logical reasoning and problem-solving skills

Experience Requirement : 

2+ years of experience working in logistics or transportation operations

About us:

Pi - India’s 1st SuperMoney App, is an AI-native Fintech startup building ML platforms for financial advisory and wealth management. Founded by a former Investment Banker (IIT/IIM/ CFA®) with over a decade of experience.

We are looking for Machine Learning Engineers who are passionate about developing world-class ML platforms. You will be part of the Core Founding team that lays the foundation for a Unicorn journey. You'll join a visionary, funded startup on the ground floor and get to build it up one conversation at a time.

Qualifications:

• Overall experience of 4 to 7 years in ML
• B.Tech/BE from top-tier colleges (IIT, NIT, IIIT)

Requirements:

• Applied GenAI expertise in implementing cutting-edge LLMs and diverse generative models, specializing in transformers and GPT models.
• Demonstrated proficiency across various modalities, showcasing a dynamic skill set for innovative solutions.
• Expertise in Natural Language Processing (NLP), with a comprehensive understanding of the entire stack involved in designing, training, evaluating, and deploying machine learning models, particularly large language models.
• Deep understanding of the entire stack when it comes to designing, training, evaluating, and deploying ML models. Successfully collected a new giant dataset and played a critical role in shipping a new ML product that required custom components.
• Extensive experience in designing and building intelligent agents, leveraging AI techniques to create autonomous and adaptive systems for various applications.
• Proficient in writing distributed ML infrastructure, debugging and fixing hard-to-find bugs in ML models, and owning production-grade projects from start to finish.
• Experience with Deep learning frameworks such as PyTorch, TensorFlow. , Jax, and Keras.
• Proficient in writing GPU kernels using CUDA .
• Experience with AWS SageMaker and the AWS Machine Learning suite of tools.
• Developed novel techniques for ML model measurement and mitigation.
• Proficient in Apache Kafka for seamless data streaming, Apache Spark for large-scale batch processing, and Apache Airflow for efficient orchestration.
• Demonstrated expertise in Kubernetes-based workflows, specifically Kubeflow, for scalable and portable machine learning and data processing deployments, enhancing pipeline reliability and performance.
• Experience with MongoDB, MySQL, and Vector databases.
• Experience with analytics.
• Proficient in Kubernetes, Python, Github, Huggingface, R(for Analytics)
• Experience in mentoring and growing engineers.

Additional Benefits:

Competitive compensation along with ESOPs of a path-breaking Fintech startup

Position - Business Development Manager/ Marketing Manager

Location - Andheri West, Mumbai (Only local candidates should Apply)

Work Experience - Minimum 3 years for Business Development / Marketing.

Preference - Only Female Candidate

Job Responsibilities :

• Research and identify new business opportunities - including new markets, growth areas, trends, customers, partnerships, products and services - or new ways of reaching existing markets
• Seek out the appropriate contact in an organisation
• Generate leads and cold call prospective customers
• Meet with customers/clients face to face or over the phone
• Foster and develop relationships with customers/clients
• Understand the needs of your customers and be able to respond effectively with a plan of how to meet these
• Think strategically - seeing the bigger picture and setting aims and objectives in order to develop and improve the business
• Have a good understanding of the businesses products or services and be able to advise others about them
• Ensure staff are on board throughout the organization, and understand the need for change and what is required of them
• Discuss promotional strategy and activities with the CEO
• Seek ways of improving the way the business operates
• Attend seminars, conferences and events where appropriate
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Build long-term relationships with new and existing customers

Working Hours - 10 am to 7 pm (Monday to Friday) though you may on occasion have to work longer to meet a project deadline or when attending an event or conference.

• The CTO will set company’s technological vision and lead its execution.
• Responsible to build and scale an online B2B / B2C platform from the scratch
• Build a solid technical team across Software development, Architecture & design, Dev Ops / Infrastructure.

• Min 5 years of experience must have headed a full journey experience of scaling up software product & technology from scratch within a B2C or B2B environment during zero to one phase of the startup
• Proven ability to work in the intersection of technology and business to drive revenue growth. Must have experience of working in a start-up during zero to one phase along with Founder/s or at a Founder/s minus 1 level.
• Proven experience of building and leading engineering teams that have scaled along the journey.
• Must have experience managing teams across Software development, Architecture & design, Dev Ops / Infrastructure
• Candidate must have nuanced understanding of trade-offs among features, risks and costs.