Python Engineer

Company:

Ultrasafe AI

Website:

Visit Website

Business Type:

Small/Medium Business

Company Type:

Product & Service

Business Model:

B2B

Funding Stage:

Seed

Industry:

Emerging Technologies

Salary Range:

₹ 9-18 Lacs PA

About UltraSafeAI

UltraSafeAI

is a US-based technology company at the forefront of developing secure, reliable, and explainable AI systems. We specialize in proprietary AI technologies including advanced LLMs, CNNs, VLLMs, intelligent agents, computer vision systems, and cutting-edge ML algorithms. Our focus is on B2B AI adoption, providing end-to-end integration using our proprietary technology stack to automate entire business processes.We create intelligent solutions that prioritize safety, transparency, and human alignment across various industries including healthcare, finance, legal, and enterprise services. Our mission is to enable seamless AI adoption while maintaining the highest standards of safety and ethical considerations.

Position Overview

We're seeking experienced Python Engineers with expertise in building modern AI systems, particularly focusing on Retrieval Augmented Generation (RAG) architectures and agentic AI frameworks. The ideal candidate will have strong experience with FastAPI, vector databases, and orchestrating complex AI agents to solve real-world problems.As a Python Engineer at UltraSafeAI, you'll work on designing and implementing scalable, secure AI systems that power our clients' critical business processes. You'll collaborate with a global team of engineers, researchers, and domain experts to create solutions that set new standards for safety and reliability in AI.

Key Responsibilities

• Design and develop robust FastAPI applications that serve as the backbone for our AI systems
• Implement sophisticated RAG (Retrieval Augmented Generation) architectures utilizing vector databases, embeddings, and reranking techniques
• Build and orchestrate multi-agent AI systems using frameworks like LangGraph, CrewAI, or Agent Development Kit
• Develop intelligent knowledge retrieval systems that enhance LLM capabilities with domain-specific information
• Create scalable, maintainable, and well-tested code that meets our high-quality standards
• Contribute to architecture decisions and technology selection for new projects
• Collaborate with cross-functional teams to understand requirements and deliver solutions
• Participate in code reviews and knowledge sharing to elevate the entire engineering team
• Stay current with the rapidly evolving AI landscape and recommend new approaches
  

Required Qualifications

• Strong expertise in FastAPI development with authentication, async processing, and API design
• Practical experience building RAG systems with vector databases (Pinecone, FAISS, Chroma, Qdrant, etc.)
• Experience with embedding models and techniques for effective information retrieval
• Hands-on experience with at least one agentic framework (LangGraph, CrewAI, Agent Development Kit, etc.)
• Solid understanding of LLMs and their integration into production systems
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a distributed team
• Self-motivated with the ability to work independently in a remote environment
  

Highly Desirable

• Experience with specialized vector database operations and optimizations
• Knowledge of reranking techniques to improve retrieval quality
• Experience building complex multi-agent systems that coordinate specialized AI agents
• Background in specific domains like finance, healthcare, or legal
• Contributions to open-source projects
• Understanding of AI safety considerations and alignment techniques
• Experience with deployment and monitoring of AI systems in production
  

Why Join UltraSafeAI?

• 100% Remote Work: Work from anywhere in the world with flexible hours
• Cutting-Edge Technology: Build systems using the latest advancements in AI
• Meaningful Impact: Create AI solutions that prioritize safety and human wellbeing
• Continuous Learning: Regular knowledge sharing sessions and education stipend
• Global Team: Collaborate with talented professionals from diverse backgrounds
• Work-Life Balance: Flexible PTO policy and respect for personal time
• Career Growth: Clear paths for advancement in a rapidly growing company
• Modern Tech Stack: Work with the latest tools and technologies in AI development
  

Remote Work Environment

At UltraSafeAI, We've Built a Fully Distributed Team From Day One. We Believe Talent Is Global, And We've Created Processes And Tools To Ensure Remote Work Is Efficient, Collaborative, And Enjoyable

• Asynchronous-first communication with minimal required meetings
• Collaborative documentation and knowledge management
• Regular virtual team-building events and optional in-person retreats
• Flexible working hours with core collaboration windows
  

Application Process

• Initial application review
• Technical interviews with the engineering team
• Technical assessment
• Code review and discussion of your assessment
• Final interview with leadership
• Offer
  

IMPORTANT NOTE REGARDING THE TECHNICAL ASSESSMENT: Our technical assessment is designed to evaluate your actual skills and problem-solving abilities. We expect candidates to complete the assessment independently without using AI tools or external help. During the interview process, you will be asked to explain your code and may be required to write similar solutions in real-time. Any discrepancies between your assessment performance and interview performance will be carefully considered in our hiring decision.
Join Us in Building Safer AIIf you're passionate about creating AI systems that are not only powerful but also safe, transparent, and aligned with human values, we'd love to hear from you. At UltraSafeAI, you'll help shape the future of AI technology while working with a global team of talented, mission-driven professionals.