Software Engineer - Fullstack

Job Description

Ollive AI Inc is hiring a Fullstack Software Engineer to take ownership of integrations, data pipelines, and the architecture that ties together their live monitoring and synthetic testing stack. The engineering team is small and hands-on: a CTO, a senior fullstack engineer handling infrastructure, and one junior engineer on client deliverables and frontend. This is a contributor-level seat reporting directly to the CTO, with real scope to shape how a scaling platform is built from the inside.

Responsibilities

• Own integrations with existing tools across Ollive's stack, getting them up and running and plugging them into live monitoring and synthetic testing pipelines. - Establish and maintain Kafka-based data pipelines and data stores across Postgres and ClickHouse. - Design and evolve the backend architecture in Python and Django toward a system that can scale with customer growth. - Build and ship full-stack product surfaces in React as the scope demands, including frontend components tied to client deliverables. - Run inference at scale across Ollive's production lines and ensure throughput holds as the platform expands to more healthcare customers. - Contribute to the continuous-observability layer, connecting live monitoring of customer AI agents to the broader risk platform.

Requirements

• 1 to 3 years of hands-on software engineering experience, with the majority of that time writing production code rather than relying on AI coding assistants. - Proficiency in Python as the primary backend language, with practical experience in backend frameworks (Django preferred). - Demonstrated experience building and owning data pipelines and integrations with third-party tools in a production environment. - Comfort working across the stack: backend data and API work is the core, but willingness to ship React frontend when the scope requires it. - Experience working with relational and analytical data stores such as Postgres and ClickHouse, or equivalent. - Ability to think in scalable architectures: the candidate should have seen systems that grew beyond their initial design and know how to move toward one that can handle it. - Willingness to work onsite in Bangalore six days a week at startup intensity. Nice-to-Have: - Familiarity with Kafka or other event-streaming infrastructure for real-time data pipelines. - Exposure to AWS for cloud deployments and services. - Experience with inference at scale, including running model outputs through production pipelines. - Background at an early-stage startup where they built things without a defined playbook. Company Summary Ollive helps AI companies win those conversations with proof. Today, there is no way to know the risks of an AI agent running in the real world. Olive gives AI teams a way to evaluate behavior, map regulatory risk, ensure compliance, and align with internal policies. Turn complex agent behavior into a clear risk signal across the areas that matter mosta simple way for CEOs, CTOs, and enterprise buyers to understand where trust risk is concentrated. Today, Ollive AI E& O helps companies understand liability exposure, identify potential policy gaps, and prepare for AI E& O conversations with AI governance in place for agent behavior, regulatory exposure, and control maturity. As AI moves from pilots to production, enterprise buyers are demanding evaluations not just for performance and security but also for risks such as regulatory violations, runtime non-compliance, internal policy breaches, and contractual liabilities. Most AI evals test whether an agent is accurate, fast, or reliable. Ollive tests whether an agent can create real-world liability and then helps you reduce it, monitor it, and transfer the risks. In regulated markets, the best AI product gets you a demo. The most trusted one is adopted. Enterprise buyers want to know that the riskiest parts of the AI agents have been tested, monitored, reduced, and explained in a way their legal, security, and procurement teams can trust.

Required Skills

['django', 'python', 'react', 'react.js']

Additional Information

Source recruiter: Sankalp Chhabra Source recruiter designation: Founder Company tagline: Transform AI Risks into unfair advantage Employee count: 10 Company founded: 2026 Company tech stack: Python, Django, Kafka, ETL Website: https://ollive.ai/ LinkedIn: https://www.linkedin.com/company/ollive-ai Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: Transform AI Risks into unfair advantage Logo: https://media.instahyre.com/images/profile/base/employer/55377/06405f062c/ollive_ai_logo.webp