Software Engineer
1 day ago
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 ResponsibilitiesPlatform & 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.
● 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.
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