Hashone Careers Private Limited

Core AI Backend Engineer – LLM Fine-Tuning

You know that moment when you don’t just debug code — you train a model, fine-tune it, and suddenly it understands your domain better than you expected? That’s the kind of magic we’re looking for.

We’re building something that turns chaotic social video data into crystal-clear business intelligence. Not just another API — but AI-backed architecture fine-tuned to our world. Systems that marketing teams thank you for, because they feel the intelligence, not just the infrastructure.

Either you feel the craft when you read this, or you don’t. This isn’t just another backend role. This is where you bring together scalable systems and cutting-edge LLMs to build something the world hasn’t seen before.

Who We Are

We’re a small, global team that ships fast. Every line of code and every model choice affects millions of video analysis requests.

Our engineers don’t just build APIs — they architect solutions, they optimize at scale, and now, they fine-tune models to make AI work in the real world. Our CPTO still codes. Our senior engineers make complexity look effortless. Our backend team sets a standard that others ask how we move so fast.

What We Need

We need someone who’s lived both sides of this life:

• Backend excellence: building high-scale, high-performance systems.
• LLM fine-tuning: hands-on with open-source models, not just calling APIs.

Someone who can sit with a requirement at 2pm and by 6pm not only has endpoints working, but also has a fine-tuned model running behind them — customized to our use case.

Your Craft

• JavaScript/TypeScript & NodeJS as core backend tools.
• Next.js for full-stack where needed.
• Rust when performance is non-negotiable.
• Golang/Python as comfortable tools of choice.
• MySQL/Postgres/Redis — wielded with intention.
• AWS ecosystem — your playground, not your puzzle.
• LLM/AI integration you’ve actually shipped.
• Open-source LLM fine-tuning experience:
• Bringing in open-source models (LLaMA, Mistral, Falcon, etc.).
• Fine-tuning/adapting them for specific domains.
• Optimizing for inference cost, latency, and accuracy.

The Reality

The work is beautifully complex. The scale is real and growing. The problems are the kind that wake you up at 3am with solutions.

If you get your energy from building backend systems and adapting LLMs to make them smarter for real-world use, you’ll probably fall in love with what we do. If you’re only interested in APIs without touching models, this won’t be your thing — and that’s completely okay.

How to Apply

If you’re reading this thinking “finally, a team that actually cares about real AI engineering” — we’d love to see something you’ve built.

Not just a resume. Show us your craft:

• An LLM fine-tuning repo.
• A domain-adapted model you worked on.
• A system design where you combined backend and AI.
• Or even a short write-up or voice note explaining what you’ve fine-tuned.

We’re genuinely excited to see what you’ve done and have a meaningful conversation about whether this could be magic for both of us.

Product Manager – AI Go-to-Market (GTM)

You know that feeling when you see a product not just built, but truly adopted? That’s what this role is about.

We built something that turns the endless scroll of social video into business intelligence. The product is already strong — now it’s time to take it to market, scale adoption, and own how it reaches the world.

This isn’t another PM role. This is where you become the strategist who shapes how AI meets the market.

Who We Are

Our team is small, global, and moves fast. Not startup-fast. Not “we say we’re agile” fast. Actually fast.

We ship meaningful features in days, and now we need someone who can do the same on the market side.

The people here don’t just work with AI — they think in AI. They dream in Python. They know how to build.

What we’re missing is the person who knows how to launch, position, and scale.

What We Need

We need someone who’s lived the GTM life.

Someone who has:

• Shaped go-to-market strategies across multiple channels.
• Crafted positioning, messaging, and pricing that drove adoption.
• Partnered with sales & marketing to accelerate pipeline and conversion.
• Translated market insights into product direction.

You don’t need to be taught what adoption metrics look like. You don’t need to “grow into” GTM strategy. You already know these things so deeply that you can focus on the only thing that matters: getting AI into the hands of people who can’t live without it.

Who You Are

• Strong IT/product foundation with a track record in launching AI/tech products.
• An AI believer who sees how it will reshape industries.
• Obsessed with channels, adoption, differentiation, and growth loops.
• Someone who thrives where market execution meets product credibility.

The Reality

The work is beautifully challenging. The pace is intense in the best way. The problems are complex but worth solving. And the team? They care deeply.

If you get your energy from taking innovation to market and building adoption strategies that matter, you’ll probably fall in love with what we do here. If you prefer more structure or slower rhythms, this might not align — and that’s completely valid.

How to Apply

If you’re reading this thinking “finally, somewhere that gets it” — we’d love to see something you’ve launched. Not a resume. Not a cover letter. Show us proof of how you’ve taken a product to market.

We’re excited to see what you’ve built and have a real conversation about whether this could be magic for both of us.

Location & Work Model:

• Position: Contract to hire
• Bangalore -  Marathahalli; 
• Work mode - Work from Office; all 5 days
• Looking for immediate joiners

Technical Requirements:

• Strong experience in Java Backend Development
• Proficiency in both SQL & NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL)
• Basic knowledge of DevOps tools (CI/CD pipeline)
• Familiarity with cloud providers (AWS, GCP)
• Ability to quickly learn and adapt to emerging technologies, including AI-driven tools, and automation solutions
• Strong problem-solving mindset with an interest in leveraging AI and data-driven approaches for backend optimizations

Soft Skills & Mindset:

• Strong communication & articulation skills
• Structured thought process and a logical approach to problem-solving
• Interest & willingness to learn and adapt to new technologies

Who We Are

We’re a small, global team shipping ambitious features at a pace that would overwhelm most.

The kind of pace where QA isn’t a back office function — it’s the heartbeat of everything we

ship. Our customers expect speed and trust. QA is where those two meet.

What We Need

We’re looking for a QA Specialist who thrives in fast-moving environments. Someone who can:

● Spot gaps before they become failures.

● Shift gears as priorities change — without losing accuracy.

● Push testing forward with the urgency of a live launch.

This isn’t about ticking boxes on a test plan. It’s about owning the quality of what reaches the

customer, no matter how quickly the roadmap evolves.

Your Craft

● 3–5 years of experience in software QA (manual, automated, or both).

● Fast learner who can get inside the product’s mind and test like a real user.

● Ability to design and execute test cases at lightning speed — without compromising

depth.

● Comfort with dynamic priorities: you can validate a demo at noon and regression test a

release by 6pm.

● Familiarity with QA tools, automation frameworks, and bug tracking — but more

importantly, the instinct to know what needs to be tested first.

Reports Developer

Description - Data Insights Analyst specializing in dashboard development, data validation, and ETL testing using Tableau, Cognos, and SQL.

Work Experience: 5-9 years 

 Key Responsibilities

Insights Solution Development:

•    Develop, maintain, and enhance dashboards and static reports using Tableau and IBM Cognos.

•    Collaborate with Senior Data Insights specialists to design solutions that meet customer needs.

•    Utilize data from modeled Business Data sources, Structured DB2 Datamarts, and DB2 Operational Data stores to fulfill business requirements.

•    Conduct internal analytics testing on all data products to ensure accuracy and reliability.

•    Use SQL to pull and prepare data for use in Dashboards and Reports

Data Management Tasks:

•    Test new ETL developments, break-fixes, and enhancements using SQL-based tools to ensure the accuracy, volume, and quality of ETL changes.

•    Participate in data projects, delivering larger-scale data solutions as part of a project team.

•    Report defects using Jira and work closely with IT team professionals to ensure the timely retesting of data defects

•    Utilize Spec. Documentation and Data lineage tools to understand flow of data into Analytics Data sources

•    Develop repeatable testing processes using SQL based tools

Technical Experience

•    SQL

•    Tableau

•    Data Visualization

•    Report Design

•    Cognos Analytics

•    Cognos Transformer

•    OLAP Modeling (Cognos)

 Additional Skills

An Ideal Candidate would have the following additional Skills

•    Python

•    SAS Programming

•    MS Access

•    MS Excel

Work Hours: We would like to have the majority of the work hours align to U.S. Eastern time zone with people working until 2 p.m. or 3 p.m. est. so that work hours align to times the Senior Analysts are available and Data Bases are available.  

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
• 
  

Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• 
  

Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
• 
  

Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

Integration Developer

ROLE TITLE

Integration Developer

ROLE LOCATION(S)

Bangalore/Hyderabad/Chennai/Coimbatore/Noida/Kolkata/Pune/Indore

ROLE SUMMARY

The Integration Developer is a key member of the operations team, responsible for ensuring the smooth integration and functioning of various systems and software within the organization. This role involves technical support, system troubleshooting, performance monitoring, and assisting with the implementation of integration solutions.

ROLE RESPONSIBILITIES

·       Design, develop, and maintain integration solutions using Spring Framework, Apache Camel, and other integration patterns such as RESTful APIs, SOAP services, file-based FTP/SFTP, and OAuth authentication.

·       Collaborate with architects and cross-functional teams to design integration solutions that are scalable, secure, and aligned with business requirements.

·       Resolve complex integration issues, performance bottlenecks, and data discrepancies across multiple systems. Support Production issues and fixes.

·       Document integration processes, technical designs, APIs, and workflows to ensure clarity and ease of use.

·       Participate in on-call rotation to provide 24/7 support for critical production issues.

·       Develop source code / version control management experience in a collaborative work environment.

TECHNICAL QUALIFICATIONS

·       5+ years of experience in Java development with strong expertise in Spring Framework and Apache Camel for building enterprise-grade integrations.

·       Proficient with Azure DevOps (ADO) for version control, CI/CD pipeline implementation, and project management.

·       Hands-on experience with RESTful APIs, SOAP services, and file-based integrations using FTP and SFTP protocols.

·       Strong analytical and troubleshooting skills for resolving complex integration and system issues.

·       Experience in Azure Services, including Azure Service Bus, Azure Kubernetes Service (AKS), Azure Container Apps, and ideally Azure API Management (APIM) is a plus.

·       Good understanding of containerization and cloud-native development, with experience in using Docker, Kubernetes, and Azure AKS.

·       Experience with OAuth for secure authentication and authorization in integration solutions.

·       Strong experience level using GitHub Source Control application.

·       Strong background in SQL databases (e.g., T-SQL, Stored Procedures) and working with data in an integration context.

·       Skilled with Azure DevOps (ADO) for version control, CI/CD pipeline implementation, and project management.

·       Experience in Azure Services, including Azure Service Bus, Azure Kubernetes Service (AKS), Azure Container Apps, and ideally Azure API Management (APIM) is a plus.

GENERAL QUALIFICATIONS

·       Excellent analytical and problem-solving skills, with a keen attention to detail.

·       Effective communication skills, with the ability to collaborate with technical and non-technical stakeholders.

·       Experience working in a fast paced, production support environment with a focus on incident management and resolution.

·       Experience in the insurance domain is considered a plus.

EDUCATION REQUIREMENTS

·       Bachelor’s degree in Computer Science, Information Technology, or related field.

Job Description

We are seeking a highly skilled Sr. Fullstack Mobile Developer with a passion for crafting exceptional mobile experiences and robust backend systems. This role demands a deep understanding of React Native, Node.js, and modern cloud ecosystems like AWS, combined with a commitment to best practices and continuous improvement.

As part of our team, you will work closely with cross-functional teams to design, build, and maintain high-performance mobile applications and scalable backend solutions for our clients. The ideal candidate is a team player with a growth mindset, a passion for excellence, and the ability to energize and inspire those around them.

Requirements

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 4-6 years of professional experience as a Fullstack Developer, with at least 3 years in mobile development using React Native.
• Proven expertise in building and scaling mobile applications and backend systems in a services environment.
• Strong proficiency in Python or Node.js, AWS, and database technologies (SQL and NoSQL).
• Experience implementing CI/CD pipelines and automation tools.
• Deep knowledge of software engineering best practices, including clean code principles and test-driven development.
• Familiarity with AI copilots and a willingness to incorporate AI-driven tools into workflows.
• Excellent communication and collaboration skills, with the ability to inspire and influence teammates.
• Demonstrated growth mindset, passion for learning, and a commitment to excellence.
• A perfectionist attitude with an eye for detail and a drive to deliver outstanding results.
• Prior experience working with a services company is a must.

Benefits

• Creative Freedom: A culture that empowers you to innovate and take bold product decisions for client projects.
• Comprehensive Healthcare: Extensive health coverage for you and your family.
• Tailored Growth Plans: Personalized professional development programs to help you achieve your career aspirations.

Job Summary:

Experienced Full-Stack Developer with expertise in Angular (TypeScript) for front-end development and Python Flask for back-end API development. Strong background in Microsoft SQL Server, authentication using Azure AD (MSAL), and implementing efficient API integrations. Skilled in unit testing, debugging, and optimizing performance.

Key Skills:

• Front-End: Angular, TypeScript, PrimeNG, RxJS, State Management, React JS

• Back-End: Python Flask, SQLAlchemy, RESTful API Development

• Database: Microsoft SQL Server (SQL, Joins, Query Optimization)

• Authentication: Azure AD, MSAL, JWT-based authentication

• DevOps & Deployment: Git, CI/CD (Azure DevOps, GitHub Actions)

• Additional: data validation, pagination, performance tuning

1. Design, develop, and maintain data pipelines using Azure Data Factory

2. ⁠Create and manage data models in PostgreSQL, ensuring efficient data storage and retrieval.

3. ⁠Optimize query performance and database performance in PostgreSQL, including indexing, query tuning, and performance monitoring.

4. Strong knowledge on data modeling and mapping from various sources to data model.

5. ⁠Develop and maintain logging mechanisms in Azure Data Factory to monitor and troubleshoot data pipelines.

6. Strong knowledge on Key Vault, Azure Data lake, PostgreSQL

7. ⁠Manage file handling within Azure Data Factory, including reading, writing, and transforming data from various file formats.

8. Strong SQL query skills with the ability to handle multiple scenarios and optimize query performance.

9. ⁠Excellent problem-solving skills and ability to handle complex data scenarios.

10. Collaborate with Business stakeholder, data architects and PO's to understand and meet their data requirements.

11. Ensure data quality and integrity through validation and quality checks.

12. Having Power BI knowledge, creating and configuring semantic models & reports would be preferred.