
Neuralgap helps biotech teams accelerate research by applying AI to their workflows. It embeds cutting-edge AI into core bio- and chem-informatics pipelines and workflows. The product integrates with established data platforms to fit into existing research processes. This is a B2B offering for biotech and pharma R&D teams that rely on informatics. The result is scalable AI-driven discovery and faster scientific breakthroughs.

Neuralgap helps biotech teams accelerate research by applying AI to their workflows. It embeds cutting-edge AI into core bio- and chem-informatics pipelines and workflows. The product integrates with established data platforms to fit into existing research processes. This is a B2B offering for biotech and pharma R&D teams that rely on informatics. The result is scalable AI-driven discovery and faster scientific breakthroughs.
We are seeking a Senior Backend Engineer with strong experience in building scalable, secure backend systems to power Agentic and advanced AI and simulation-driven applications. You will work closely with top foundational engineers to design and implement core backend services for our platform.
Key Responsibilities
Design, implement, and maintain backend services using NestJS
and Python (FastAPI)
.
Architect and optimize PostgreSQL
schemas, queries, and indexing for high-volume transactional and analytical workloads.
Implement caching
strategies (e.g., Redis) and job scheduling
for background processing, workflows, and long-running tasks.
Build and maintain WebSocket
and webhook
-based integrations for real-time updates and external system connectivity.
Implement secure authentication and authorization
, including JWT handling
and Firebase Auth
integration.
Collaborate with frontend, ML, and domain experts to define APIs and data contracts.
Contribute to CI/CD pipelines
(GitHub Actions or Jenkins) and support automated testing, linting, and deployment workflows.
Support deployments on Azure/AWS/GCP
, including configuration, environment management, and basic observability.
Integrate with AI agents and ML services
(prompt orchestration, inference APIs, workflow agents) as part of product features.
Participate in code reviews, technical design discussions, and continuous improvement of engineering standards.
Required Qualifications
Nice to Have:
4-5 years of backend engineering experience, including production-grade Node.js (NestJS)
and Python (FastAPI)
.
Strong experience with PostgreSQL
, relational data modeling, performance tuning, and migrations.
Hands-on experience with caching
, job queues/schedulers
, and asynchronous processing.
Proven experience implementing WebSockets
, webhooks
, and API-based integrations.
Solid understanding of JWT-based auth
, session management, and Firebase Auth
.
Experience setting up or contributing to CI/CD pipelines
using GitHub Actions
or Jenkins
.
Familiarity with deploying and operating services on at least one major cloud ( Azure, AWS, or GCP
).
Exposure to AI/ML or AI agent integrations
(e.g., calling LLM APIs, orchestrating agents, or integrating inference services).
Strong testing culture (unit/integration tests), code quality, and documentation habits.
Excellent communication skills and ability to work in a fast-paced, research-informed product environment.