Voice Process

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.

We’re hiring a Maximo Technical Lead with hands-on experience in Maximo 7.6 or higher, Java, and Oracle DB. The role involves leading Maximo implementations, upgrades, and support projects, especially for manufacturing clients.

Key Skills:

IBM Maximo (MAS 8.x preferred)

Java, Oracle 12c+, WebSphere

Maximo Mobile / Asset Management / Cognos / BIRT

SQL, scripting, troubleshooting

Experience leading tech teams and working with clients

Good to Have:

IBM Maximo Certification

MES/Infrastructure planning knowledge

Experience with Rail or Manufacturing domain

https://lnkd.in/getubzJd

Role Objective:

Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products

Roles & Responsibilities:

• Sound knowledge in Spark architecture and distributed computing and Spark streaming.
• Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning.
• SFDC(Data modelling experience) would be given preference
• Good understanding in object-oriented concepts and hands on experience on Scala with excellent programming logic and technique.
• Good in functional programming and OOPS concept on Scala
• Good experience in SQL – should be able to write complex queries.
• Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project.
• Able to mentor new members for onboarding to the project.
• Understand the client requirement and able to design, develop from scratch and deliver.
• AWS cloud experience would be preferable.
• Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3, etc. (preferred)
• Hands on experience utilizing AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments (preferred)
• Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on AWS (preferred)
• Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements.
• Managing project timing, client expectations and meeting deadlines.
• Should have played project and team management roles.
• Facilitate meetings within the team on regular basis.
• Understand business requirement and analyze different approaches and plan deliverables and milestones for the project.
• Optimization, maintenance, and support of pipelines.
• Strong analytical and logical skills.
• Ability to comfortably tackling new challenges and learn

We are looking "SAP SF EC" for Reputed Client @ Permanent Role.

• 3-6 years of Experience with SAP SF EC is must 1 End to End implementation Project experience is must 

• Knowledge in Activate Project Management Methodology 

• Knowledge on ITIL Process 

• Should have experience in Requirement Gathering and completing EC Workbooks 

• Should have experience in Configuration and customisation activities 

• Should have experience in Cut-over activities 

• Should manage customer expectations Person should be proactive 

• Should have drive to complete project deliverables and milestones.

• 3+ years of experience in Financial domain
• 3+ years of Lending experience (Someone who has worked on Lending products or Lending companies or Lending Processes) and financial experience. 
• This is 50% hands-on 50% managerial position with experience in Automation or development.
• Should be Technical PM

Job Responsibilities:

Excellent problem solving and analytical skills - ability to develop hypotheses,

understand and interpret data within the context of the product / business -

solve problems and distill data into actionable recommendations.

 Strong communication skills with the ability to confidently work with cross-

functional teams across the globe and to present information to all levels of the

organization.

 Intellectual and analytical curiosity - initiative to dig into the why, what & how.

 Strong number crunching and quantitative skills.

 Advanced knowledge of MS Excel and PowerPoint.

 Good hands on SQL

 Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools

 Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus

 Inherent interest in e-commerce & marketplace technology platforms and

broadly in the consumer Internet & mobile space.

 Previous experience of 1+ years working in a product company in

a product analytics role

 Strong understanding of building and interpreting product funnels.

Perquisites & Benefits:

 Opportunity to work with India's no.1 crowdfunding platform

 Be a part of a young, smart and rapidly growing team with management from Ivy League and Premier colleges

 Competitive compensation and incentives

 Fun, casual, relaxed and flexible work environment

At PivotRoots we follow a user centred and value driven design thinking process. As a UX designer, 

1. You should be able to understand product specifications and know how to convert business requirements into user journeys and wireframes. 
2. Able to create personas through user research and data. 
3. Adept in developing wireframes and prototypes around customer needs.
4. Use various UX processes to fefine the right interaction model and evaluate its success
5. Work with UI designers to implement attractive designs
6. Communicate design ideas and prototypes to developers
7. Keep abreast of competitor products and industry trends

This is a pure UX role and does not require any prior experience in visuals and graphics. 

Daily monitoring of Quantum's processes to ensure file transmissions to and from the system

• Ensure that any Quantum production issues with an emphasis on the modules ( Cash Management, Bank Reconciliation, Foreign Exchange, I/C loans, Money Market, Investments, etc.) are resolved on time
• Actively working with Quantum and internal IT teams to resolve issues with bank files and data transmissions between Quantum and other systems including retrieval of market rates