Software Engineer - Scalable Systems (Contract) - #1110963

We’re looking for a senior Software Engineer to help us build the next-generation agentic AI platform for computer vision. You’ll own core components of the platform that orchestrate AI agents, power automated ML workflows, and deliver robust, production-grade systems.

This role blends backend excellence, infrastructure ownership, and a collaborative engineering mindset to scale the capabilities of AI Engineers and AI Developers. You’ll work closely with AI colleagues to bring intelligent systems to life - helping them move from local experimentation to full production.

This is a hands-on, high-impact role for someone who thrives at the intersection of scalable systems and cutting-edge AI.

Key Responsibilities

Platform & Backend Development

●      Design backend services (Python, FastAPI, gRPC) to support agent workflows, computer vision pipelines, and evaluation loops.

●      Build scalable APIs for orchestration, task management, vector search, and model serving.

Infrastructure & Deployment

●      Own CI/CD pipelines (GitHub Actions, Terraform) and production deployments.

●      Develop infrastructure for memory stores, compute orchestration, and model packaging (Docker, TorchServe, BentoML).

Engineering Excellence

●      Establish quality practices including testing (Pytest), monitoring, and observability (Prometheus/Grafana).

●      Ensure fault-tolerant, modular, and scalable system design.

Collaboration & Leadership

●      Mentor peers through code reviews, documentation, and clean architecture.
Lead system design discussions and integration with AI and platform teams.

Must-Have Skills

●      6+ years of software engineering, including 2+ in AI/ML environments.

●      Proficient in Python and production-grade API development (FastAPI, Flask, gRPC).

●      Experience with CI/CD and infrastructure-as-code (GitHub Actions, Terraform).

●      Skilled in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).

●      Familiarity with databases: SQL, NoSQL, and vector DBs (FAISS, Weaviate, pgvector).

●      Understanding of ML lifecycles: data ingestion, inference, monitoring, and recovery.

●      Proven ability to design distributed systems (API gateways, data pipelines, compute orchestration).

Bonus Skills

●      Familiarity with AI agent frameworks (LangChain, AutoGen, CrewAI).

●      Understanding of computer vision concepts and deployment challenges.

●      Exposure to LLM APIs or GenAI integrations.

●      Experience with ML observability and error logging systems

●      Knowledge of front-end prototyping tools (Gradio, Streamlit, etc.).

What We Offer

●      Small, agile team (5–6 engineers + interns) with autonomy and real ownership.

●      Startup feel with a big company resources:

○      International environment where the majority of the team and leadership is from startups or big international corporations and from various countries.

○      Low-bureaucracy, high-impact startup environment where your code directly supports next-gen AI deployment.

○      Experimentation and self-development are in our culture

○      Knowledge sharing and collaboration

●      Direct collaboration with top AI researchers and computer vision scientists.

●      Hybrid work setup: ~2–3 days in office per week.