Python Developer- Only W2

US Citizens and Green card holders would be considered only on W2. NOTES from hiring manager: • role is open to Tampa Bay area, Denver, Southfield, Memphis and NYC RJF location for hybrid which is preferred. May be open to fully remote options for the right kind of candidate who demonstrates the attributes the manager spoke about on the Spotlight call • Manager is looking to convert to an FTE after contract period assuming performance and business value • Looking for solutions oriented approach, someone who is intellectually curious, likes learning, proactive and takes initiative in their job • need someone who is interested an passionate about new technologies and AI in particular, they should be leveraging AI techniques and approaches to their SW development work • Role is heavy on Python related development technologies in particular with RAG. Also need experience with Kubernetes • Manager is not looking extensive industry experience he is looking for the right kind of experience, mindset and approach to SW development, and that could be someone with lesser years of experience. • Current or prior working experience for Big Tech firms like Google, AWS, FB, Amazon etc. is a strong value add. Job Summary: You are not looking for an ordinary job — and we’re not looking for an ordinary developer. You thrive where others hesitate — in the deep end, under pressure, when the clock is ticking and the stakes are high. You don’t wait for direction; you create momentum. You don’t aim for “good enough”; you aim for excellence — accuracy, speed, and mastery in every line of code. You’re self-motivated, obsessively curious, and relentlessly driven to build systems that work beautifully at scale. You take full ownership, from concept to deployment, and you push yourself — and your team — to deliver beyond expectations. If you’re just looking to clock in and out, this isn’t for you. If you live for the challenge, welcome home. Why Join Us This is not a maintenance role — this is a mission. You’ll be part of a small, elite team building cutting-edge AI infrastructure: high-speed retrieval systems, GPU-accelerated pipelines, and scalable microservices that power real-world intelligence. Every day brings a new challenge, a new idea, a new opportunity to push what’s possible. You’ll have end-to-end ownership, creative freedom, and the chance to make a measurable impact — not just on code, but on how we build and deliver intelligence at scale. We value commitment, precision, and integrity. We move fast, think big, and reward those who bring energy, focus, and results. This is your chance to be part of something defining — to help build the systems that others will study and emulate. If that excites you, you’re the kind of engineer we want. Skills: Technical Responsibilities • Architect, design, and optimize Python-based RAG (Retrieval-Augmented Generation) systems for real-world deployment. • Build and maintain vector databases and embedding pipelines using Redis, Faiss, or similar high-performance stores. • Develop and manage GPU-accelerated pipelines for embedding generation and model vectorization. • Design and operate Kubernetes (K8s) environments for scaling distributed microservices and model workloads. • Integrate retrieval and generation components into larger AI/LLM ecosystems with high throughput and reliability. • Own performance tuning, profiling, and system observability for millisecond-level responsiveness. • Contribute to automation, CI/CD pipelines, and infrastructure-as-code practices. • Collaborate closely with AI engineers, data scientists, and DevOps to deliver production-grade, fault-tolerant systems. Core Technical Qualifications • 5+ years of experience in Python software engineering for production systems. • Deep expertise with Redis, Kubernetes, and GPU-based computation (CUDA, PyTorch, or TensorFlow). • Proven experience designing and deploying vector databases, embeddings, and RAG architectures. • Strong knowledge of FastAPI, asyncio, and microservice architectures. • Skilled with Docker, Helm, and cloud-native stacks (AWS/GCP/Azure). • Excellent debugging, performance tuning, and system-level problem-solving skills. • Demonstrated ability to deliver high-quality code under pressure and within tight deadlines. Preferred Experience • Familiarity with LangChain, LlamaIndex, or other RAG frameworks. • Experience with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry). • Contributions to open-source AI or DevOps projects. • Understanding of streaming systems (Kafka, Spark, or Flink).