Company Description pi-labs provides cutting-edge cybersecurity and intelligence solutions to governments and enterprises, helping them stay ahead of emerging cyber threats driven by the rapid adoption of AI. We specialize in developing advanced tools that safeguard digital ecosystems and ensure trust, safety, and authenticity. Our flagship product, Authentify , is a market-leading deepfake detection solution designed to combat sophisticated AI-driven manipulations. At pi-labs, you’ll work with a team of passionate experts at the forefront of AI-powered security technologies. Join us to build impactful solutions, solve complex challenges, and contribute to protecting the digital world as it evolves. Role Description We are looking for a skilled Python developer with proven experience in designing and implementing scalable APIs. The candidate should have strong expertise in Python-based backend development and hands-on experience with various Inference servers. Key Responsibilities •Design, develop, and maintain high-performance and scalable APIs in Python. •Implement APIs that interact with Inference servers •Optimize API performance for real-time inference and large-scale workloads. •Collaborate with ML engineers and data scientists to deploy and serve AI/ML models through Inference servers. •Ensure API reliability, fault tolerance, and adherence to best practices in security and scalability. •Develop automated tests, CI/CD pipelines, and monitoring solutions for APIs. •Troubleshoot performance bottlenecks, integration issues, and production incidents. •Write clean, well-documented, and maintainable code. Required Skills & Qualifications •3–5 years of professional experience in backend/API development. •Strong proficiency in Python and frameworks like FastAPI / Flask / Django REST Framework. •Solid understanding of RESTful API design principles and microservices architecture. •Hands-on experience with various inference servers and their integration (vLLM, Triton). •Familiarity with deploying AI/ML models into production environments. •Experience with Docker, Kubernetes, or container orchestration tools. •Strong grasp of scalability, concurrency, and distributed systems. •Good understanding of API security (OAuth2, JWT, etc.).
Company Description pi-labs provides cutting-edge cybersecurity and intelligence solutions to governments and enterprises, helping them stay ahead of emerging cyber threats driven by the rapid adoption of AI. We specialize in developing advanced tools that safeguard digital ecosystems and ensure trust, safety, and authenticity. At pi-labs, you’ll work with a team of passionate experts at the forefront of AI-powered security technologies. Join us to build impactful solutions, solve complex challenges, and contribute to protecting the digital world as it evolves. About the Role We are seeking an experienced AI Lead to take full ownership of our AI-driven product lifecycle from research and prototyping to deployment and scaling in production. The ideal candidate will possess hands-on expertise in Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and the Triton Inference Server, along with proven experience in delivering AI-based products to production. This role requires a combination of strong technical leadership, architectural-level thinking, and the ability to guide a cross-functional team in developing scalable, enterprise-grade AI solutions. Key Responsibilities Own the end-to-end AI technology strategy and roadmap for the product. Lead design and development of AI/ML models and LLMs, and RAG pipelines. Architect and optimize inference systems using Triton Inference Server and GPU-based deployments. Drive model lifecycle management: training, fine-tuning, evaluation, versioning, monitoring, and continuous improvement. Ensure production readiness of AI solutions including scalability, security, and reliability. Collaborate with product, engineering, and business teams to translate requirements into technical deliverables. Mentor and guide a team of AI engineers and researchers. Stay ahead of emerging AI trends and evaluate cutting-edge technologies for integration. Required Skills & Experience 8–10 years of total experience with at least 3 years in AI/ML product development. Proven track record of taking AI-based products from concept to production. Strong expertise in: Deep Learning frameworks (TensorFlow, PyTorch) Large Language Models (LLMs) - training, fine-tuning, prompt engineering Retrieval-Augmented Generation (RAG) workflows Triton Inference Server for scalable inference deployment Hands-on experience with cloud platforms , on-premise deployments and GPU optimization. Strong programming skills in Python, and proficiency in MLOps pipelines, containerization (Docker, Kubernetes). Understanding of distributed training, vector databases (e.g., FAISS, Milvus, Pinecone), and model optimization techniques (quantization, pruning). Excellent problem-solving skills with a product-oriented mindset. Strong leadership qualities with experience in mentoring teams.
Company Description pi-labs provides cutting-edge cybersecurity and intelligence solutions to governments and enterprises, helping them stay ahead of emerging cyber threats driven by the rapid adoption of AI. We specialize in developing advanced tools that safeguard digital ecosystems and ensure trust, safety, and authenticity. Our flagship product, Authentify , is a market-leading deepfake detection solution designed to combat sophisticated AI-driven manipulations. At pi-labs, you'll work with a team of passionate experts at the forefront of AI-powered security technologies. Join us to build impactful solutions, solve complex challenges, and contribute to protecting the digital world as it evolves. Role Description We are looking for a skilled Python developer with proven experience in designing and implementing scalable APIs. The candidate should have strong expertise in Python-based backend development and hands-on experience with various Inference servers. Key Responsibilities Design, develop, and maintain high-performance and scalable APIs in Python. Implement APIs that interact with Inference servers Optimize API performance for real-time inference and large-scale workloads. Collaborate with ML engineers and data scientists to deploy and serve AI/ML models through Inference servers. Ensure API reliability, fault tolerance, and adherence to best practices in security and scalability. Develop automated tests, CI/CD pipelines, and monitoring solutions for APIs. Troubleshoot performance bottlenecks, integration issues, and production incidents. Write clean, well-documented, and maintainable code. Required Skills & Qualifications 35 years of professional experience in backend/API development. Strong proficiency in Python and frameworks like FastAPI / Flask / Django REST Framework. Solid understanding of RESTful API design principles and microservices architecture. Hands-on experience with various inference servers and their integration (vLLM, Triton). Familiarity with deploying AI/ML models into production environments. Experience with Docker, Kubernetes, or container orchestration tools. Strong grasp of scalability, concurrency, and distributed systems. Good understanding of API security (OAuth2, JWT, etc.).