Engineering Manager

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: Talent Acquisition Specialist

Experience Level: 2 + Years

Location: Bangalore, Karnataka (On-site).

Job Overview:

We are seeking an experienced and dynamic Talent Acquisition Specialist to join our team. As a Talent Acquisition Specialist, you will play a critical role in driving our talent acquisition strategy and ensuring we attract and hire top-tier talent to support our company's growth and objectives.

Responsibilities:

• Develop and execute comprehensive talent acquisition strategies aligned with the company's goals and objectives.

• Utilize various channels and platforms to proactively source, engage and build a robust pipeline of qualified candidates for current and future hiring needs.

• Conduct thorough screening and assessment of candidates to ensure alignment with job requirements, cultural fit and potential for long-term success within the organization.

• Coordinate and facilitate interviews, ensuring a positive candidate experience while effectively evaluating candidates' skills, qualifications and potential.

• Collaborate with hiring managers to develop competitive and compelling offers, negotiate terms and facilitate the offer acceptance process.

• Contribute to employer branding initiatives and recruitment marketing efforts to enhance the

company's reputation as an employer of choice and attract top talent.

• Provide regular reports and insights to the supervisor, identifying areas for improvement and optimization

• Stay abreast of industry trends, best practices and innovative recruitment strategies and continuously seek opportunities to enhance and optimize the talent acquisition process.

• Build strong partnerships and collaborate effectively with internal stakeholders, including hiring managers, HR colleagues and leadership, to ensure alignment and success in talent acquisition

efforts.

Requirements:

• Bachelor's degree in Human Resources, Business Administration or a related field.

• 2+ years of progressive experience in talent acquisition, with a focus on full-cycle recruitment,

preferably in a fast-paced and dynamic environment.

• Proven track record of successfully sourcing, attracting and hiring top-tier talent across various functions and levels.

• Strong understanding of recruitment best practices, talent acquisition trends and employment laws and regulations.

• Exceptional communication, interpersonal and relationship-building skills, with the ability to effectively engage and influence stakeholders at all levels.

• High level of professionalism, integrity and discretion, with a commitment to upholding

confidentiality and ethical standards.

• Demonstrated ability to thrive in a collaborative team environment while also being able to work autonomously and drive results independently.

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Position: Accountant (Leather Export house)- Female

Experience: 5 + Year in Export house (Leather/garrments/textile)

salary: Negotiable

Industry: Garments/ apparel/ fashion

Qualification: CA qualified

Location: IMT Manesar

candidate must have experience in Export house (leather/garments/home textile)

Must have CA qualified.

good communication skill, presentable smart.

mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

satish: 8 8O 274 97 4 3

About Lentra:

Lentra is a new-age, domain-native platform built from the ground up, designed and developed to empower financial institutions with tomorrow’s lending ecosystem, today. With its full-stack, fully digital, secured products and solutions, Lentra is the future of smart, seamless, secure digital lending. 

Our solutions cover the Indian lending stack effectively for digital origination by providing capabilities like eKYC, vKYC, eSign, eNACH, etc., besides MultiBureau(R), a comprehensive BRE for faster decisioning and configurable onboarding workflows. Reliability and minimal TATs are the key takeaways from Lentra’s offerings. 

Our Marquee Clients including the topmost private banks in India are now future ready and encashing business opportunities. Lentra's zero risk instant lending solution will empower the FIs to leapfrog into the future.

About the Role:

Lentra AI Pvt. Ltd looking for a Senior Software Engineer to contribute to the software development life cycle, from design and development to testing, release and maintenance. Software Developer responsibilities include building web application modules and testing features before release. If you have hands-on experience developing software with agile methodologies and are ready to lead our junior developers, we'd like to meet you. Ultimately, you will create, enhance, deploy and maintain functional, secure and high-quality applications

Responsibilities:

The candidate has to perform the below responsibilities:

• Active contribution in designing, developing, testing, deploying and maintaining software
• Collaborate with the team to develop web services, mobile and web applications
• Write well designed, efficient, secure and performant code
• Follow best practices in design and testing
• Review, test and debug team members code
• Actively contribute in writing and updating documents

Candidate requirements:

• Candidates should have a minimum of 5 year of experience in web based development using these technologies:
• Core Java, SpringMVC, Node.js, ORM
• Working knowledge of relational database and noSQL databases, Caching technologies
• RESTful, SOAP, JSON
• Angular, HTML5, CSS
• Proficient understanding of code versioning tools, such as Git
• Knowledge of Agile Scrum development Methodologies
• Integrate applications with network systems, servers, and databases
• Troubleshoot problems with application development and use
• Excellent conceptual, and critical thinking capabilities
• Self-directed and self-motivated with the ability to take charge or play a supporting role
• Strong understanding of product development
• Clear written and verbal communications skills (English), including presentation

Location & commitments:

• This is a Permanent Opportunity.
• Job Location is Pune

Note:- Stipend is 7k-12k

Job description

Job Brief -

We are looking for a talented and competitive Global Inside Sales Representative that thrives in a quick sales cycle environment. An inside sales representative will play a fundamental role in achieving our ambitious customer acquisition. You must be comfortable handling inbound/outbound calls, handling Marketing activities to reach out to prospects on communication & Digital platforms, working with channel partners, generating interest, qualifying prospects, closing the deals.

Responsibilities, Duties, and Required Skills

Research new prospects and generate interest through e-mailers and cold calling

Follow up with prospects for feedback on the sales process

Team up with channel partners to build a pipeline of exciting deals

Update CRM software on existing prospects and customers contacts

Route qualified opportunities to the appropriate sales executives for further action

Market research for identifying prospects.

Generating account-level contact information

Lead Generation & Qualification

Inside Sales via remote selling (online/phone)

Closely working with field sales team for closures

Managing engagement with leads remotely (online/phone)

Support marketing team during branding and lead generation events.

Experience in Inside Sales function in SaaS-based companies or IT Enterprise B2B Sales

Experience in SaaS/HR Tech Vertical is a plus

Required Skills

• Must maintain and exhibit the highest standards of ethical conduct
• Proven ability to generate a pipeline for the sales team in B2B sales
• Have worked in Software / IT companies
• Excellent creative thinking skills with an emphasis on developing innovative solutions to complex problems that may not have one clear answer.
• High attention to detail and excellent organizational skills, adhering to deadlines while ensuring accuracy

The ideal candidate possesses a passion for writing and innovative ability to create successful marketing campaigns and aid in creating company growth.

Key Responsibilities

You will be responsible for:

• Writing mesmerizing content, like game questions, titles, messages, etc.
• Copywriting.
• Writing blogs and articles.
• Thorough research on industry-related topics and generating ideas for content.
• Proofreading the blog articles, game content, and content-related thing.
• Working on the website admin, therefore, he/she should be familiar with WordPress or similar software.
• Working on game admin and updating the content to it.
• Creating event content and engaging content for social media.
• Making the existing game content more interesting and entertaining.
• Working on Upwork for hiring freelancers for content-related jobs.
• Have basic knowledge of SEO.
• Knows MS Word and MS Excel in particular.
• Working as a think tank to make our games, gaming content, and user experience better.
• Working closely with the marketing and testing team.

Qualifications:

0-6 months of proven experience as a Content Writer

Preferably a graduate in English Literature/ Mass Communication

Other Details:

Job Type: Work from Office; 5 days a week; 10:00 a.m. to 7:00 p.m.

Compensation: 2-2.5 LPA

Role Type: Full-time

Location – Noida Sector-62

• • You’re proficient in NodeJS, TypeScript, MySQL, and MongoDB
  • You possess strong OOP and design pattern knowledge
  • Familiar with modern engineering practices: Code Reviews, Continuous Deployment, Automated Testing, etc
  • You write understandable, testable code with an eye towards maintainability and experienced with TDD (Test Driven Development)
  • You’ve the ability to build RESTful APIs
  • Explaining complex technical concepts to designers, support team, and fellow engineers is not a problem for you
  • Well versed with the fundamentals of computer science and distributed systems
  • FrontEnd experience; (Good to have) Angular
  • Startup experience, preferably a tech startup
  • Open Source contributor
  • You have experience with other programming languages -- e.g. Python, Ruby, PHP, Go, C, etc.
  • Passionate about/experienced with open source and developer tools
  • You have a bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience