Gen AI Engineer

🤖 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.

LogiNext is looking for a technically savvy and passionate Senior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 4 to 7 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

We are seeking a talkative, sensible, and skilled negotiator to join our team as an operations associate. The ideal candidate will possess excellent communication skills, a friendly and engaging personality, and the ability to negotiate with clients in a persuasive and professional manner.

Key Responsibilities:

Contact potential customers by phone, or email.

Establish and maintain long-term relationships with customers

Negotiate with clients to achieve objectives

Analyse and understand customer concerns and Company requirements

Prepare and maintain Data Report

Follow up with customers

Qualifications:

Graduate, team, and coordination project experience preferred

Excellent communication and negotiation skills, both verbal and written

Ability to work in a fast-paced environment and handle multiple tasks simultaneously

Good problem-solving skills and the ability to think on your feet

Familiarity with basic computer applications and sales software

Ability to work well in a team and with customers from diverse backgrounds

Prior sales or customer service experience is a plus

If you are a talkative and sensible individual with a talent for negotiation and a passion for delivering exceptional customer servicing, we encourage you to apply for this exciting opportunity.

Preferred candidates, usually spend a lot of time and are familiar with influencers on Instagram and YouTube.

Sr Product Manager / Lead Product Manager – Data Platform

Description:

At Amagi we are looking for a product leader to build world class big data and analytics platform to help our teams in making data driven decisions and to accelerate our business outcomes.

We are looking for someone who is innovative and experienced in end-to-end product management to drive our long-term data and analytics strategy.

The ideal candidate would be responsible for owning product roadmap and KPIs, driving product operational tasks to ensure configurable and scalable solutions.

Primary Responsibilities:

• Lead the product requirements to build real time, highly scalable, low latency data platform.
• Author PRD and define the strategic roadmap.
• Lead the Product design, MVPs and POCs and fast track deliveries
• Collaborate with various functions and design the most effective solutions.
• Understand customer needs and define the data solutions and insights to drive business outcomes
• Define key product performance metrices to drive business and customer outcomes

Basic Qualification

• 12+ years of overall SDLC experience with 7+ years of product management experience in fast paced company.
• Proven experience delivering large scale highly available big data processing systems.
• Knowledge of data pipeline design, data transformation and integration methodologies.
• Technically savvy with experience in big data systems like AWS, RedShift, Athena, Kafka and related technologies
• Demonstrate collaborative approach and ability to work with distributed, cross functional teams.
• Experience in taking products through full life cycle, from proposal to launch
• Strategic thinking capabilities to define the product roadmap and right prioritization of the backlog in line with the long-term vision
• Strong communication and stakeholder management skills with the ability to coordinate across a diverse group of technical and non-technical stakeholders.
• Ability to deal with ambiguity and use data to solve ambiguous problems
• Technical ability to understand and discuss software architecture, product integration, non-functional requirements etc. with the Engineering team.

Preferred Qualification:

• Technically savvy with good understanding of cloud application development.
• Software development experience building Enterprise platforms
• Experience in third-party vendor assessments
• Experience working with AI , ML , Bigdata and analytics tools
• Understanding of regulations such as data privacy, data security and governance

• Building components for the companys advanced health-tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and presenting ideas and solutions effectively

Our Client an E-commerce leader is looking for Customer Service Associate-International Chat Process

Job involves assisting customers in expediting orders and correcting post-sales problems primarily through mail, chat and phone in a fun and fast-paced environment.

Job involves 5 days working along with night shifts.

Qualifications and Attributes

Minimum qualification is 10 + 2. Any graduate/ PG is eligible to apply.

Excellent English Communication Skill(Verbal & Written)

• CANDIDATE MUST HAVE REAL ESTATE AND RELEVANT EXPERIENCE 
• IMMEDIATE JOINERS
• INTERVIEW WITHIN 2 DAYS
• COMPANY NAME - SQUAREYARDS.COM (SQUAREYARDS CONSULTING PVT. LTD.)

Job Title: Area Manager

Experience - 5 to 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 30

Job Title: Regional Manager

Experience - Above 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 35

Organization Summary

Business development department is a combination of strategic analysis, marketing and sales. The department play vital role in the organization in bringing new customers by which expand financial growth to the organization.

Key Performance Area

* Generation Sales

* New Business Development / Conversation

* Service Delivery

* Customer Relationship (Customer Satisfaction and Feedback)

* Exploring company brand value in the market

Responsibilities & duties

* Responsible for generating sales with existing customers and developing opportunities with new customers within assigned territory

* Schedule and conduct weekly sales meetings and achieving targets

* Liaising between customers and the company for up-to-date status of service, pricing and new product release launches.

* Report on sales activities to senior management

* Reaching the targets and goals set for your area

* Establishing, maintaining and expanding your customer base

* Increasing business opportunities through various routes to market

* Compiling and analyzing sales figures

* Collecting customer feedback and market research

* Keeping up to date with products and competitors

Required Candidate profile

* Impeccable profile with high professionalism.

* Good experience in Sales

* Good communication, presentation and negotiation skills.

* Excellence in sales and marketing with positive attitude and team playing ability.

* A flair for establishing an instant rapport with clients.

* Dynamic, aggressive and result oriented.

*To enjoy networking and meeting new people.

Company Profile: www.squareyards.com

Please share your updated resume with below details:

Qualification -

Total Experience -

Relevant Experience -

Present Location -

Last CTC -

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Communitate fast and easily :  8 nine 7 one 9 six 8 one 9 one

Quick Resume share :  sarita dot kumari at squareyards dot co dot in

Note :- Preferable and consider only Chennai based candidates.

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Responsibilities Include

You will break down business opportunities and problems into software solutions. You will work closely with the CTO to help product and marketing stakeholders distill the product vision and roadmap, into a technology vision. You will be responsible for the evolution of an already bleeding-edge highly distributed systems at the back-end, and would need to work with front-end architects to come up with the best user experience for the gaming platform. You will be required to make decisions quickly, and work under strict timelines. You would lead technology strategy through analysis of market trends and product requirements. You would help set coding guidelines and help bring the most modern tools to keep engineering processes most efficient.

Requirements

• B.E/MS in Computer Science or equivalent.
• 10+ years or more of progressive software technology experience with at least 3 years in an architectural role.
• Completely hands on with technology and architecture. Start-up experience is a huge plus.
• Ability to quickly prototype and demonstrate technology value adds and educate + drive adoption within the extended technology team
• Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies
• Demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership
• Work with engineering leadership to setup and manage processes.
• Track record of thought leadership and out of the box thinking in the technology arena.
• Ability to work efficiently in an entrepreneurial and in a start-up environment
• A Java/Spring/Akka, Javascript or Golang rockstar.
• Deep and hands on knowledge of some of these technologies - MySQL, NodeJS, message brokers such as Kafka/RabbitMQ, NoSQL datastore such as Mongo, Cassandra, Arango, distributed caches such as Redis/memcached, container technology such as Docker and Kubernetes etc.
• Great proficiency in distributed systems design, with an ability to make the right trade-offs for creating future-proof solutions.
• Building quick PoCs and full-fledged solutions with various AWS managed services would be a big plus.