Solution Architect

AI/ML Engineer (Open-Source LLM – BFSI Domain)

Job Title: AI/ML Engineer (Open-Source LLM – BFSI Domain)

Location: Brookefield, Bengaluru

Employment Type: Full-Time

Work Schedule: Monday to Saturday (Alternate Saturdays Off)

Working Hours: 9:00 AM – 6:00 PM (Extendable based on project requirements)

About the Role

We are seeking a talented AI/ML Engineer with hands-on experience in building, fine-tuning, and deploying Open-Source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will have practical experience developing production-ready AI solutions and a passion for leveraging Generative AI to solve real-world business challenges.

In this role, you will collaborate with Product, Engineering, and Data Science teams to design intelligent AI solutions that enhance customer experience, automate business processes, and improve operational efficiency.

Key Responsibilities

Design, develop, fine-tune, and deploy Open-Source LLMs for BFSI use cases.

Build AI-powered applications using modern LLM frameworks and orchestration tools.

Collaborate with Product Managers, Data Scientists, and Software Engineers to understand business requirements and deliver scalable AI solutions.

Conduct model experimentation, evaluation, optimization, and performance benchmarking using real-world datasets.

Implement Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI workflows where applicable.

Monitor model performance in production environments and continuously improve model accuracy, latency, and scalability.

Ensure AI solutions comply with enterprise security, privacy, and regulatory standards.

Develop APIs and integrate AI models into enterprise applications.

Maintain technical documentation, architecture diagrams, and deployment procedures.

Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Open-Source LLM technologies.

Required Qualifications

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related technical field.

Equivalent practical experience will also be considered.

Experience

Minimum 2+ years of hands-on AI/ML development experience.

Experience in the BFSI domain is preferred.

Proven experience building and deploying AI/ML solutions in production environments.

Technical Skills

Programming Languages

Python (Mandatory)

Java (Preferred)

AI/ML Frameworks

PyTorch

TensorFlow

Scikit-learn

Open-Source LLM Technologies

Experience with one or more of the following:

LangChain

LangGraph

Ollama

Hugging Face Transformers

Llama

Mistral

DeepSeek

Qwen

vLLM

FastAPI

Generative AI

Prompt Engineering

Fine-Tuning LLMs

Retrieval-Augmented Generation (RAG)

Embeddings

Vector Databases (FAISS, ChromaDB, Milvus, Pinecone, etc.)

Model Evaluation and Optimization

Additional Skills

Docker

Kubernetes (Preferred)

REST APIs

Git

Linux

CI/CD pipelines

Core Competencies

Strong analytical and problem-solving skills.

Excellent understanding of AI/ML concepts and LLM architectures.

Ability to communicate technical concepts to non-technical stakeholders.

Strong interpersonal and collaboration skills.

Self-motivated with a passion for continuous learning and innovation.

Preferred Experience

Experience in any of the following areas will be an added advantage:

Banking & Financial Services applications

Fraud Detection

Credit Risk Assessment

Intelligent Document Processing

Loan Processing Automation

Customer Support Chatbots

Regulatory Compliance

OCR & Document AI

Agentic AI and Multi-Agent Systems

Interview Process

Round 1 – Technical Interview

Conducted by: Senior AI Engineer

Assessment includes:

Python Programming

Machine Learning Fundamentals

Open-Source LLMs

LangChain & RAG

Coding and Problem Sol…

This is not traditional field sales. You will be selling AI automation software to business owners.

That means your ability to understand workflows, communicate clearly, present professionally, and

build trust matters a lot.

We care more about intelligence, communication, and presentation than degrees alone.

WHAT YOU'LL DO

Meet and pitch SMB owners across industries

Understand their operational pain points

Demonstrate AI-powered WhatsApp and Voice assistants

Explain automation workflows in simple language

Handle objections and close deals

Build relationships with decision makers

Conduct in-person and online demos

Coordinate onboarding after closure

Maintain lead and follow-up pipeline

REQUIRED SKILLS

Excellent spoken Hindi

Decent spoken English

Ability to explain technology simply and confidently

Strong presentation and interpersonal skills

Ability to understand business operations and customer workflows

Consultative selling mindset

Good follow-up discipline

Comfortable handling negotiations and objections

Comfortable using software products and dashboards

Able to quickly learn AI/SaaS workflows

Familiarity with WhatsApp Business, CRMs, or SaaS tools is a plus

PERSONALITY TRAITS WE VALUE

Sharp and articulate

Confident in face-to-face meetings

Presentable and professional

High ownership mentality

Self-driven and target-oriented

Curious and quick learner

PREFERRED BACKGROUND

SaaS sales

SMB software sales

CRM/ERP sales

Telecom or internet solutions

Fintech merchant acquisition

AI tools or automation products

Hospitality tech / clinic software / restaurant tech

WHY JOIN ALLWAYS.LIVE

Ground-floor opportunity at an early-stage, fast-growing AI SaaS company

Direct access to and mentorship from the founding team , flat structure, minimal red tape

Build real, hands-on expertise in AI/SaaS sales , one of the fastest-growing categories in India

today

Merit-based growth , your performance decides your trajectory, not your degree or tenure

A real say in shaping the sales playbook for an emerging product, not just executing someone else's

INTERVIEW PROCESS

We heavily evaluate:

Communication

Intelligence

Product understanding ability

Confidence

Presentation

Problem-solving approach

Candidates may be asked to:

Pitch the product live

Explain AI automation to a business owner

Handle real sales objections

Conduct a mock demo

HOW TO APPLY

Interested candidates can share

Resume

Short introduction video (recommended)

Current location

Expected salary

Previous sales experience (if any)

1. Market Research: Conduct thorough market research to identify potential clients, industry trends, and competitive landscape.
2. Prospecting and Lead Generation: Identify and reach out to potential clients through various channels, including cold calling, emails, and networking events.
3. Client Engagement: Build and maintain strong relationships with clients by understanding their needs and effectively communicating how our products/services can add value.
4. Sales Support: Collaborate with senior business development executives to develop proposals, presentations, and other sales materials. Assist in preparing and delivering client presentations.
5. Pipeline Management: Maintain a well-organized and updated sales pipeline, ensuring accurate tracking of leads, opportunities, and client interactions.
6. Achieving Targets: Work towards and achieve assigned sales targets and objectives within specified timelines.
7. Feedback and Improvement: Provide feedback from client interactions to internal teams, contributing to the continuous improvement of products/services.

Freshers can apply!

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

SEO Executive Job Description

• We are looking for a result-driven SEO executive to be responsible for developing optimized web content. The SEO executive's responsibilities include working closely with the marketing team to achieve SEO objectives, measuring the success of SEO and ROI, and assisting with the maintenance of the website's architecture to ensure user friendliness.
• To be successful as an SEO executive, you should have strong copywriting and analytical skills, knowledge of coding techniques, and a commitment to constantly improving on key skills. Ultimately, an SEO executive should have outstanding knowledge of SEO, passion for the industry and time management skills.

SEO Executive Responsibilities:

• Conducting on-site and off-site analysis of web SEO competition.
• Using google analytics to conduct performance reports regularly.
• Creating high-quality SEO content.
• Assisting with blog content.
• Leading keyword research and optimization of content.
• Keeping up-to-date with developments in SEM.

IT Company

Full Time Office Job

Salary - 10k to 14k in hand

Experience - 1 to 2 year

Role Overview 

As a Senior Backend Engineer, you will be working closely with our core team in building products from  scratch into large-scale platforms and solving business problems leveraging new and innovative  technology. More than anything, we are looking for engineers that are eager to learn and build a  meaningful company. We are a small team and encourage engineers to wear many hats 

Responsibilities  

• Design and build highly reliable and performant applications that deliver a great user experience.
• Own large technical deliverables and execute in a structured manner.
• Take the accountability of the overall health of the applications you build.
• Platformize components as libraries, utilities and promote reuse.
• Be able to conceptualize and develop prototypes quickly

Skills & Requirements

      ▪ Work Experience between 2 to 6  years in large scale applications with desire to work  in fast paced startups  

▪ Experience/Knowledge of Node.JS, Express .JS, AWS, MongoDB.

      Deep understanding of your tools: Languages, frameworks, systems.

Responsibilities

• Be responsible for our native Android and iOS mobile apps.
• Be flexible and knowledgeable so that you can switch between the two platforms as and when needed.
• Collaborate with Product Managers, UI designers, and other technical development resources
• Turn design ideas into features implementation that scale to millions of users by working closely with other mobile and backend engineers
• Develop unit and integration tests to ensure code quality and test coverage
• Ability to work independently solving technical problems
• Add positive energy in every meeting, and make your coworkers feel included in every interaction.

Requirements

• B.S. degree in Computer Science or related degree from an accredited college or university
• You have at least 5 years of experience in developing native mobile applications with Java and/or Kotlin (for Android) and Objective-C and/or Swift (iOS) while working within a team environment.
• Strong knowledge of Android SDK as well as iOS SDK – app lifecycle, UI using XML layouts (Android) and constraints and dynamic sizing (iOS) as well as data management and caching
• Knowledge of build systems in Android using Gradle. Knowledge of cocoapods and other tools for iOS build systems
• Knowledge of change management systems such as Git
• Knowledge of Reactive programming
• You’re familiar with mobile product and design lifecycle, and collaborating closely with designers and product managers
• You have experience building and shipping mobile apps to a large user base.
• You write high quality code with unit and automated tests.
• You’re comfortable with identifying and fixing performance bottlenecks.
• Experience integrating backend REST API’s.
• Experience in Agile/SCRUM and Unit Testing, Continuous Integration, Test-Driven Development
• Strong understanding of object oriented design principles

Nice to Haves

• Knowledge scripting tools and build tools.

About Quotient

Quotient (NYSE: QUOT) is the leading digital media and promotions technology company that creates cohesive omnichannel brand-building and sales-driving opportunities to deliver valuable outcomes for advertisers, retailers and consumers. The Quotient platform is powered by exclusive consumer spending data, location intelligence and purchase intent data to reach millions of shoppers daily and deliver measurable, incremental sales.  Quotient partners with leading advertisers and retailers, including Clorox, Procter & Gamble, General Mills, Unilever, Albertsons Companies, CVS, Dollar General and Peapod Digital Labs, a company of Ahold Delhaize USA. Quotient is headquartered in Mountain View, California, and has offices across the US as well as in Bangalore, Paris, London and Tel Aviv. For more information visit http://www.quotient.com" target="_blank">www.quotient.com

Quotient is an equal opportunity employer. We celebrate diversity, and do not unlawfully discriminate on the basis of race, color, national origin, ancestry, creed, sex, gender, sexual orientation, gender identity or expression, age (40 and over), religion, political affiliation, citizenship, disability, marital or registered domestic partner status, veteran status, legally protected medical conditions, or any protected category prohibited by local, state or federal laws