SEO Executive

Job Title: Enterprise Sales Executive Manager

Location: Noida, Bangalore & Chennai

Experience: 2 to 7+ years in B2B Enterprise Sales, SaaS Sales, Cloud Solutions.

Language : English, Hindi proficiency will be an added advantage.

Key Responsibilities

• Identify and acquire enterprise customers.
• Manage end-to-end enterprise sales cycles from prospecting to closure.
• Generate new business through outbound sales, networking, referrals, and partnerships.
• Conduct product demonstrations and enterprise solution presentations.
• Engage with CXOs and key decision-makers across target accounts.
• Manage RFPs, RFIs, and enterprise procurement processes.
• Maintain accurate sales pipeline and opportunity data in CRM.

Requirements

• Strong experience in B2B and SaaS enterprise sales.
• Proven track record in handling large deals and long sales cycles.
• Understanding of APIs, cloud technologies, and digital transformation initiatives.
• Existing relationships with enterprise decision-makers and experience handling high-value enterprise accounts will be preferred.

We are looking for a Java developer responsible for building Java applications. This includes anything between complex groups of back-end services and their client-end (desktop and mobile) counterparts. Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.

Backend (Mandatory/Must to have skills) :

1. Core Java/Java8,
2. Spring boot,
3. Spring Security,
4. Hibernate or any other ORM (Object Relational Mapping) framework.
5. SQL/PL-SQL (Oracle or Mysql or postgresql) but mostly Oracle
6. Restful webservices
7. Git

Backend (Good to have skills) :

1. Knowledge of SOAP based webservices
2. Struts framework
3. Microservices

Backend (Not absolutely necessary but plus point if candidate has knowledge about ) :

1. Docker
2. Apache Kafka/ any other messaging queue tool like RabbitMQ, ActiveMQ etc.,)
3. Cloud experience AWS/Azure

Responsibilities:

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Translate application storyboards and use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable Java code
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization and automatization

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

Urgent Hiring!!!

We are looking for Android Developer

Job Description:

• 0.6 month+ years of experience in developing Android applications
• Proficiency in Java, Kotlin, or C++.
• Ability to easily use Android Studio, including the Android SDK.
• Prior experience as an Android Developer will be advantageous.
• Excellent coding and proofreading skills.
• Ability to manage your workload with minimal supervision
• Proofreading your code and correcting mistakes before each app is released.
• Collaborating with UI and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order

Openings: 5 position

Experience: 0.6 to 2 years

Location: Surat (onsite & full-time only)

Thanks!

1.Outbound calls

2.Product/Service Knowledge

3.Lead Generation

4. Relationship Building

5. Sales Pitch

6.CRM Management

7.Follow Up

8.Collaboration

Key Responsibilities:

1.    Development, integration and testing of embedded software in the Embedded Linux RTOS

2.    Integrate Application based on Adaptive AUTOSAR Platform

3.    Contribute for Architecture, Detailed design, programming in C++ (11/14/17)

4.    Perform Unit, Integration Tests of developed Application

5.    Detail oriented systematic problem-solving approach in the embedded software.

6.    Debug embedded software on hardware platforms for issue identification and resolution

Minimum qualification criteria:

1.    Bachelor's degree in Electronics, Computer Science, Electrical Engineering, or related field

2.    2+ years of experience in software development in C or C++

3.    2+ years of experience in designing and implementing embedded systems for high performance, high reliability real-time embedded computing platforms

Responsibilities:

• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Recommending and implementing improvements to processes and technologies.
• Designing customer-facing UI and back-end services for various business processes.

Requirements:

• 1-8 years of appropriate technical experience
• Proven experience as a Full Stack Developer or similar role preferably using MEANMERN stack.
• Good understanding of client-side and server-side architecture
• Excellent interpersonal skills and professional approach
• Ability to work in a dynamic, fast moving and growing environment
• Be determined and willing to learn new technologies
• Immediate joiners are preferred