AI Engineer

Experience: 3.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 30 Days

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

Opportunity Type: Remote

Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - Oddsmate)

What do you need for this opportunity?

Must have skills required:

Front-end Experience, LSTMs, RNNs, Transformers, AI Agents, LangChain, LangGraph, RAG pipelines, AWS, Python

Oddsmate is Looking for:

Key Responsibilities:

• AI Agent Development: Architect, build, and deploy production-ready AI agents capable of complex reasoning and decision-making within the sports betting domain.
• LLM Integration & Orchestration: Implement and manage integrations with Large Language Models (LLMs) using modern orchestration frameworks like LangChain, LangGraph, or similar tools.
• Data Pipeline Engineering: Design and implement robust RAG (Retrieval-Augmented Generation) pipelines to ensure LLMs have real-time, accurate access to live odds, historical data, and complex data feeds for informed decision-making.
• Predictive Modeling: Integrate, test, and optimize machine learning models to enhance betting predictions and value assessment.
• Code Ownership: Take full ownership and agency over engineering projects, ensuring code quality, scalability, and adherence to best practices in a fast-paced environment.
• Collaboration: Work closely with the founder/CTO and design team, contributing technical expertise to product strategy and execution.
  
  
  

Required Skills & Experience (The Must-Haves)

• Proven experience building and deploying sophisticated AI Agents for real-world applications.
• Expertise with major LLMs and deep proficiency in agentic and orchestration frameworks (LangChain, LangGraph, etc.).
• Demonstrable experience designing and implementing highly effective RAG pipelines utilizing Vector Databases and embedding models.
• Comfortable working in a small team, high-paced startup environment, and demonstrating a strong sense of ownership and agency over all projects.
• Proficiency in Python and relevant data/ML libraries (e.g., Pandas, NumPy).
  
  
  

Highly Preferred (The Plus)

• Experience developing and implementing classic machine learning or deep learning algorithms (RNNs, LSTMs, Transformers) for time-series data or prediction.
• Experience with cloud platforms (AWS/Azure/GCP) for model deployment and MLOps principles.
  
  
  

Nice to Have (The Full-Stack Element)

• Any front-end development experience (e.g., React, Next.js, or similar frameworks) to contribute to the full-stack element of the platform.
  
  
  

What We Offer

• An opportunity to be a foundational, Lead Engineer with a long-term view, potentially leading the engineering team as we scale.
• A chance to work at the intersection of AI and a massive, real-time data industry.
• High technical impact and direct influence on product decisions.
  
  
  

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!