Python Engineer SourcingXPress

  • company name SourcingXPress
  • working location Office Location
  • job type Full Time

Experience: 5 - 5 years required

Pay: INR 900000 - INR 1800000 /year

Type: Full Time

Location: All India

Skills: Python, FastAPI, RAG Retrieval Augmented Generation architectures, Vector Databases, Embedding Models, Agentic framework, LLMs, AI safety considerations, AI Systems Deployment

About SourcingXPress

Job Description

About UltraSafeAI: UltraSafeAI is a US-based technology company that is leading the way in developing secure, reliable, and explainable AI systems. Specializing in proprietary AI technologies such as advanced LLMs, CNNs, VLLMs, intelligent agents, computer vision systems, and cutting-edge ML algorithms, the company focuses on B2B AI adoption. By providing end-to-end integration utilizing its proprietary technology stack, UltraSafeAI automates entire business processes. Creating intelligent solutions that emphasize safety, transparency, and human alignment across various industries including healthcare, finance, legal, and enterprise services, the company's mission is to facilitate seamless AI adoption while upholding the highest standards of safety and ethical considerations. Position Overview: UltraSafeAI is in search of 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 possess strong experience with FastAPI, vector databases, and orchestrating complex AI agents to address real-world problems. As a Python Engineer at UltraSafeAI, you will be responsible for designing and implementing scalable, secure AI systems that drive the critical business processes of clients. Collaborating with a global team of engineers, researchers, and domain experts, you will play a key role in creating solutions that establish new benchmarks for safety and reliability in AI. Key Responsibilities: - Design and develop robust FastAPI applications serving as the backbone for AI systems - Implement sophisticated RAG architectures using vector databases, embeddings, and reranking techniques - Build and orchestrate multi-agent AI systems with frameworks like LangGraph, CrewAI, or Agent Development Kit - Develop intelligent knowledge retrieval systems to enhance LLM capabilities with domain-specific information - Create scalable, maintainable, and well-tested code meeting 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 engineering team - Stay updated with the rapidly evolving AI landscape and suggest new approaches Required Qualifications: - Strong expertise in FastAPI development encompassing authentication, async processing, and API design - Practical experience in 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.) - Sound understanding of LLMs and their integration into production systems - Excellent problem-solving skills, attention to detail, and strong communication abilities - Ability to work in a distributed team and self-motivated to work independently Highly Desirable: - Experience in specialized vector database operations and optimizations - Knowledge of reranking techniques to enhance retrieval quality - Experience in building complex multi-agent systems coordinating specialized AI agents - Background in specific domains like finance, healthcare, or legal - Contributions to open-source projects and understanding of AI safety considerations - Experience in deploying and monitoring AI systems in production Why Join UltraSafeAI - 100% Remote Work allowing flexibility in location and hours - Work with Cutting-Edge Technology in AI development - Make a Meaningful Impact by prioritizing safety and human wellbeing in AI solutions - Continuous Learning through knowledge sharing sessions and education stipend - Collaborate with a Global Team of professionals from diverse backgrounds - Ensure Work-Life Balance with a flexible PTO policy and respect for personal time - Opportunities for Career Growth in a rapidly expanding company - Utilize Modern Tech Stack with the latest tools and technologies in AI development Remote Work Environment: UltraSafeAI has established a fully distributed team from the beginning, recognizing talent globally. The company has implemented processes and tools to ensure efficient, collaborative, and enjoyable remote work experience, including: - Asynchronous-first communication and minimal mandatory 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 assessment - Final interview with leadership - Offer IMPORTANT NOTE REGARDING THE TECHNICAL ASSESSMENT: Candidates are expected to complete the technical assessment independently without the use of AI tools or external help. Any discrepancies in performance between the assessment and the interview process will be carefully considered in the hiring decision. Join Us in Building Safer AI: If you are passionate about creating powerful AI systems that are safe, transparent, and aligned with human values, UltraSafeAI welcomes your application. Join a team of talented, mission-driven professionals to shape the future of AI technology.,