Engineering Manager

We’re building the future of AI-powered sales enablement.

PitchSense AI is a flagship product within our portfolio of AI-driven Sales and Marketing solutions.

We blend conversational intelligence, generative AI, and behavioural analytics to help people master persuasion through real-time AI simulations.

Why PitchSense AI

Working here means joining a small, fast-moving team that lives at the frontier of applied AI.

You’ll:

• Build in a high-pace, high-learning environment where ideas ship fast.
• Tinker with cutting-edge AI tools, agents, and large language models (LLMs) daily.
• Prototype novel ways to combine speech, emotion, and reasoning into human-like training experiences.
• Learn across multiple domains — engineering, design, analytics, and product.
• Work directly with the founding team on problems no one has solved before.

This is not routine work — it’s an opportunity to shape entirely new experiences in human-AI interaction while growing faster than you ever have before.

Stack: Next.js · TypeScript · NestJS · Prisma · PostgreSQL · AWS · OpenAI · AISDK · AI Agents · RAG · ElevenLabs

Culture: Ownership · Velocity · Craftsmanship

SDE II

Location: Gurgaon

Experience: 2–4 years | Type: Full-time | Reports to: CTO

Responsibilities

• Architect and scale multi-tenant systems for AI training and analytics.
• Design clean APIs and optimise data models for speed and resilience.
• Mentor junior engineers and uphold engineering best practices.
• Enhance caching, monitoring, and infrastructure reliability on AWS.
• Integrate AI-based code reviews to maintain quality and velocity.

Requirements

• 2–4 years of full-stack or backend experience.
• Expertise in TypeScript, Node.js, PostgreSQL, React/Next.js.
• Comfortable owning modules from design to production.

Bonus

• Experience with AI model integration or speech intelligence.
• Exposure to Prisma ORM, CI/CD, and monitoring tools.

Developer Tools & Workflow

Every engineer and designer at PitchSense AI uses modern, AI-augmented tools to move fast and ship better.

Tools

• Cursor IDE
• Claude Code
• AWS (Lambda, ECS, RDS, S3)
• AI-based Code Reviews
• MagicPath
• Figma AI

Workflow Highlights

• Continuous deployment via GitHub Actions / AWS Pipelines.
• PR preview environments for instant testing.
• AI-driven code review loops for rapid iteration.
• Cross-disciplinary culture - work across frontend, backend, DevOps, and design.

Culture & Perks

• Ownership from day one - every role is founding-level.
• High-performance, meritocratic culture - growth based on impact, not tenure.
• Cross-discipline learning - explore code, design, and infrastructure alike.
• MacBook for work and premium tooling.
• Annual offsite for alignment and collaboration.
• Competitive compensation and ESOPs for core hires.
• Direct mentorship from the CTO and founding team.
• Real impact - reshape how humans learn to sell, speak, and persuade through AI.

Job description:

We’re Hiring: .NET Developer

Location: Greater Noida

Experience: 3–6 Years

Budget/CTC: Negotiable

Employment Type: Full-time

About the Role

We are looking for a skilled .NET Developer with strong expertise in API development, backend engineering, and WebSocket/real-time integration. Candidates with fintech domain experience (payments, banking, insurance, money transfer, or related financial systems) will be highly preferred.

Key Responsibilities

• Design, develop, and maintain robust backend systems using .NET technologies
• Build and integrate RESTful APIs and WebSocket-based services
• Work closely with frontend teams to ensure seamless communication
• Optimize application performance and ensure scalability
• Implement secure coding practices, especially for financial data transactions
• Collaborate with cross-functional teams to deliver high-quality solutions

Requirements

• Strong proficiency in .NET Core / ASP.NET
• Hands-on experience with API development & integration
• Knowledge of WebSocket protocols, SignalR, and real-time communication
• Experience with databases (SQL/NoSQL)
• Familiarity with cloud platforms (Azure/AWS) preferred
• Strong problem-solving and debugging skills
• Fintech experience is a plus (e.g., payment gateways, UPI/NEFT/RTGS, wallets, insurance platforms, banking systems, transaction dashboards)

Job Type: Full-time

📢 ***Part-Time Job Opportunity: Financial Advisor***

Are you passionate about finance and helping others achieve their financial goals? We're excited to announce a part-time job opening for a Financial Advisor in India.

Responsibilities:-

- Provide financial advice and guidance to clients based on their individual financial situations and goals.

- Develop personalized financial plans tailored to each client's needs.

- Educate clients on various investment options, retirement planning, insurance, and other financial products and services.

Requirements:-

- Strong knowledge of financial planning principles and investment strategies.

- Excellent communication and interpersonal skills.

- Ability to work independently and manage client relationships effectively.

- Relevant certification or degree in finance, economics, or related field is a plus.

Benefits:-

- Flexible working hours to accommodate your schedule.

- Competitive compensation with opportunities for growth and advancement.

- Ongoing training and support to enhance your skills and knowledge in the field of finance.

- Earn Commission to Refer Customer for LOAN, INSURANCE, CREDIT CARD, ETC.

If you're interested in joining our team as a part-time Financial Advisor, please contact us.

Visit Our Website: https://myadvisers.net

We look forward to hearing from you!

Job Position - Website consultant

Experience - 0 to 3 years

Salary - Hike on last drawn

Shift Timing - Morning 7.00am to 4.00 pm /

            Night - 8.00 am to 05.00 pm/09.00 am to 06.00 pm

Work mode - Work from Office

Freshers can also apply

Qualifications And Skills

  Excellent in English Communication skills

  At least 6 months experience in website selling process

  Freshers can also apply

  Comfortable in outbound and sales process

  Immediate joiners preferred

Roles And Responsibilities

• Coordinate with B2B clients to gather requirements and deliver tailored web solutions aligned with their business goals.

• Generate leads by identifying potential business opportunities and promoting our web development services.

• Facilitate the B2B process by effectively engaging with businesses to drive transactions and partnerships.

• Engage in website selling activities, presenting our web solutions as optimal choices for client needs.

• Work collaboratively with the development and design teams to ensure project delivery meets quality standards.

• Adapt to night shifts and potentially morning shifts, ensuring consistent availability for client interactions.

• Maintain clear and consistent communication with peers and clients, ensuring transparency in project status and progress.

• Identify and address client queries and challenges, providing solutions that enhance client satisfaction and project success.

Interested Call Ankita

• Responsibilities
       - Responsible for implementation and ongoing administration of Hadoop
  infrastructure.
       - Aligning with the systems engineering team to propose and deploy new
  hardware and software environments required for Hadoop and to expand existing
  environments.
       - Working with data delivery teams to setup new Hadoop users. This job includes
  setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig
  and MapReduce access for the new users.
       - Cluster maintenance as well as creation and removal of nodes using tools like
  Ganglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage and other tools
       - Performance tuning of Hadoop clusters and Hadoop MapReduce routines
       - Screen Hadoop cluster job performances and capacity planning
       - Monitor Hadoop cluster connectivity and security
       - Manage and review Hadoop log files.
       - File system management and monitoring.
       - Diligently teaming with the infrastructure, network, database, application and
  business intelligence teams to guarantee high data quality and availability
       - Collaboration with application teams to install operating system and Hadoop
  updates, patches, version upgrades when required.
      
  READ MORE OF THE JOB DESCRIPTION 
  Qualifications
  Qualifications
       - Bachelors Degree in Information Technology, Computer Science or other
  relevant fields
       - General operational expertise such as good troubleshooting skills,
  understanding of systems capacity, bottlenecks, basics of memory, CPU, OS,
  storage, and networks.
       - Hadoop skills like HBase, Hive, Pig, Mahout
       - Ability to deploy Hadoop cluster, add and remove nodes, keep track of jobs,
  monitor critical parts of the cluster, configure name node high availability, schedule
  and configure it and take backups.
       - Good knowledge of Linux as Hadoop runs on Linux.
       - Familiarity with open source configuration management and deployment tools
  such as Puppet or Chef and Linux scripting.
       Nice to Have
       - Knowledge of Troubleshooting Core Java Applications is a plus.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

1. Application Developer -API

• Experience: 2-5 years
• Experience in Design, build and configure applications to meet business process and application requirements using AZURE API development.
• Design, Build, Test and deploy the APIs using Microsoft Azure.
• Needs to support and handle the production APIs.
• Should have knowledge in Design Patterns.