Role Description The Python Developer will be responsible for building and maintaining back-end components, writing and testing code, debugging programs, integrating third-party services, managing database connections, and implementing AI-powered solutions. The role involves developing Retrieval-Augmented Generation (RAG) systems, Agentic systems, and scalable APIs using FastAPI. The developer will collaborate with cross-functional teams, ensure software quality and performance, and stay updated with new technologies and industry trends. Qualifications Proficiency in Python development with experience in FastAPI Knowledge of Retrieval-Augmented Generation (RAG) systems and vector database integration Experience in Agentic system development and multi-agent orchestration Knowledge of Databases and experience in managing database connections (SQL/NoSQL) Familiarity with AI and Machine Learning concepts and frameworks Experience with cloud platforms (AWS, GCP, Azure) is a plus Familiarity with front-end technologies is an advantage Strong problem-solving skills and attention to detail Excellent written and verbal communication skills Ability to work independently and as part of a team in a hybrid work environment Bachelor’s degree in Computer Science, Engineering, or a related field Show more Show less
Location: India Remote Employment Type: Full-time Experience Level: Mid to Senior (4-5+ years) Date of Joining : Required Immediate Joiners 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 an experienced AI Research Engineer specializing in model training, fine-tuning, and optimization of large language models (LLMs), vision language models (VLMs), and convolutional neural networks (CNNs). The ideal candidate will have deep expertise in training and fine-tuning foundation models using advanced techniques and frameworks, with particular emphasis on reinforcement learning approaches for alignment. As an AI Research Engineer at UltraSafeAI, you'll work on developing and enhancing our proprietary models, creating domain-specific adaptations, and optimizing inference performance. You'll collaborate with our engineering team to build the core AI capabilities that power our enterprise solutions and set new standards for AI performance and safety in business applications. Key Responsibilities ● Train and fine-tune large language models (LLMs) and vision language models (VLMs) using state-of-the-art techniques ● Implement and improve reinforcement learning methods for model alignment, including DPO, PPO, and GRPO ● Develop and optimize CNNs for specialized computer vision tasks in enterprise contexts ● Work with distributed training frameworks for efficient model development ● Optimize models for inference using libraries like VLLM, SGLANG, and Triton Inference Server ● Implement techniques for reducing model size while maintaining performance (quantization, distillation, pruning) ● Create domain-specific adaptations of foundation models for vertical industry applications ● Design and execute experiments to evaluate model performance and alignment ● Develop benchmarks and metrics to measure improvements in model capabilities ● Collaborate with data science team on dataset curation and preparation for training ● Document model architectures, training procedures, and experimental results ● Stay current with the latest research in model training and alignment techniques Required Qualifications ● 4-5+ years of professional experience in AI/ML engineering with focus on model training ● Strong expertise in training and fine-tuning large language models ● Experience with major deep learning frameworks (PyTorch, TensorFlow, JAX) ● Hands-on experience with model training libraries and frameworks (Transformers, NeMo, Megatron-LM, TRL) ● Practical implementation of reinforcement learning techniques for model alignment (DPO, PPO, GRPO) ● Experience optimizing models for efficient inference ● Strong understanding of distributed training techniques for large models ● Background in computer vision model development (CNNs, vision transformers) ● Excellent programming skills in Python and related data science tools ● Experience with cloud infrastructure for ML workloads (AWS, GCP, or Azure) ● Strong problem-solving skills and scientific mindset ● Excellent documentation and communication abilities Highly Desirable ● Experience with multimodal models combining text, vision, and other modalities ● Knowledge of model quantization techniques (QLoRA, GPTQ, AWQ) ● Experience with VLLM, SGLANG, or Triton Inference Server for optimized inference ● Background in prompt engineering and instruction tuning ● Familiarity with RLHF (Reinforcement Learning from Human Feedback) ● Experience with model evaluation and red-teaming ● Knowledge of AI safety and alignment research ● Experience with domain-specific model adaptation for industries like healthcare, finance, or legal ● Background in research with publications or contributions to open-source ML projects ● Experience with MLOps tools and practices for model lifecycle management Why Join UltraSafeAI? ● Create Proprietary AI Models: Develop the core AI technologies that power our enterprise solutions ● 100% Remote Work: Work remotely with our US-based company with flexible hours ● B2B Impact: Help shape AI models that solve real business problems across industries ● Cutting-Edge Research: Work on the frontier of AI model development and alignment ● Continuous Learning: Regular knowledge sharing sessions and education stipend ● Collaborative Team: Work with talented researchers and engineers focused on innovation ● Work-Life Balance: Flexible PTO policy and respect for personal time ● Career Growth: Clear paths for advancement in a rapidly growing company ● Industry-Leading Infrastructure: Access to high-performance computing resources for model training
Python Engineer - AI Systems Engineer Remote Position at UltraSafeAI Location: 100% Remote (India) Employment Type: Full-time Experience Level: Mid to Senior (4-5+ years) 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 ● 4-5+ years of professional Python development experience ● 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 1. Initial application review 2. Technical assessment 3. Code review and discussion of your assessment 4. Technical interviews with the engineering team 5. Final interview with leadership 6. 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 AI If 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