AI/ML Engineer – Classification & Retrieval Systems

Experience: 1.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - GenAI-native enterprise SaaS company)

What do you need for this opportunity?

Must have skills required:

rag, Retrieval-Augmented Generation, embeddings, LLM deployment, OpenAI API, Gemini api, Anthropic API, Ml classification pipelines

GenAI-native enterprise SaaS company is Looking for:

Job Description:

NEUROFIN AI TECHNOLOGIES HSR Layout, Bengaluru, Karnataka

Job Description: AI/ML Engineer – Classification & Retrieval Systems

Location: HSR Layout, Bengaluru | Employment Type: Full-Time | Experience: 2+ Years

About Neurofin

Neurofin AI Technologies Private Limited is a DPIIT-recognised AI FinTech startup building document intelligence solutions for the BFSI (Banking, Financial Services & Insurance) sector. We work at the intersection of applied machine learning, large language models, and financial services, helping institutions extract structured insight from unstructured documents at scale. As an early-stage, fast-moving team, we value people who take ownership, move quickly, and are excited to build foundational systems from the ground up.

Role Overview

We are looking for an AI/ML Engineer with a strong foundation in classification systems and a working understanding of modern LLM-based architectures. This role will focus on improving and fine-tuning our classification pipelines across clients, driving R&D on cost optimisation for LLM usage, and identifying opportunities to evolve our current systems into more intelligent, retrieval-augmented (RAG) architectures.

Key Responsibilities

• Fine-tune and improve classification systems deployed across multiple clients.
• Lead R&D efforts focused on optimising the cost of LLM usage in production workflows.
• Evaluate current systems to identify areas where Retrieval-Augmented Generation (RAG) can be meaningfully employed.
• Drive the transition from standard LLM API usage (e.g., typical Gemini-style calls) to a more intelligent, context-aware RAG-based system.
• Collaborate closely with the engineering team to deploy models and endpoints into production.
  
  
  

Requirements – Must Have

• 2+ years of relevant experience in AI/ML engineering.
• Strong foundations in coding logic and the mathematics behind machine learning.
• Hands-on, practical experience working with embeddings and RAG (Retrieval-Augmented Generation) systems — this is a mandatory requirement.
• Solid working knowledge of prompt engineering.
• Demonstrated experience deploying LLMs in production — either deploying an actual model (including smaller/open-source LLMs) or integrating and deploying via an API endpoint (Gemini, Anthropic, or OpenAI).
  
  
  

Good to Have

• Working knowledge of linear algebra as it applies to ML (bonus).
• Prior experience in the Fintech domain.
  
  
  

Who Thrives Here

We prioritise a hardworking, hustle-driven attitude over raw pedigree. If you have a genuine startup mindset — comfortable with ambiguity, quick to iterate, and motivated by ownership rather than just credentials — you'll fit right in at Neurofin.

What We Offer

• The opportunity to build foundational AI/ML systems from the ground up at an early-stage, high-growth AI FinTech startup.
• Direct exposure to real-world production LLM systems solving problems for the BFSI sector.
• A collaborative, fast-paced environment with high ownership and visibility into company outcomes.
• Competitive compensation, aligned with experience and market standards.
  
  
  

How To Apply

Interested candidates can share their updated resume along with relevant project/work samples to the Neurofin HR team.

Neurofin AI Technologies Private Limited | HSR Layout, Bengaluru

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!