Senior Engineer

Fractal Analytics is seeking a rare breed of technologist — a Hacker-Mind AI Engineer — to join our Data & AI Innovation team. You won’t just write code; you’ll shape problems, prototype solutions, and experiment with bleeding-edge AI tools and infrastructure. This role is ideal for engineers who thrive in ambiguity, enjoy building before a spec is finalized, and see every challenge as a systems puzzle waiting to be solved.

Responsibilities

Rapidly prototype end-to-end AI solutions — from data ingestion to model inference to deployment; Explore and experiment with emerging technologies (LLMs, GenAI, real-time pipelines, etc.); Define ambiguous problem statements and shape technical solutions collaboratively with clients and internal teams; Contribute to internal R&D sprints, solution accelerators, and tech deep-dives; Serve as a technical thought partner to product owners, architects, and innovation leaders.

Requirements

5+ years of experience in software/data/AI engineering (or equivalent open-source/portfolio proof); Fluency in Python and at least one systems or compiled language (e.g., Rust, Go, TypeScript); Hands-on experience with AI/ML frameworks: PyTorch, TensorFlow, HuggingFace, LangChain, etc.; Familiarity with cloud-native workflows: containers, orchestration, CI/CD, IaC (Docker, K8s, Terraform); Ability to work across the stack: data wrangling, modeling, API design, MLOps

Nice to have

Open-source contributions or personal GitHub projects; Experience working with or building LLM-powered systems; Knowledge of streaming, real-time data, or low-latency infrastructure; Participation in hackathons, AI challenges, or research communities