Arete Software
Website:
aretesoftwares.com
Job details:
Company: IntraIntel.AI India Private Limited
Experience Required: 10+ Years (Senior Level)
Employment Type: Full-Time (Through Consulting Partner / Direct Placement)
Location: India (Remote / Hybrid - occasional travel as needed)
Reporting To: VP of Engineering / CTO
About IntraIntel.AI
IntraIntel.AI is building a next-generation, enterprise-grade, multi-tenant Agentic AI SaaS platform that enables organizations to deploy AI securely and intelligently across healthcare, clinical trials, finance, manufacturing, pharmaceutical, cybersecurity, and government sectors.
Our philosophy: "Your Data. Your AI. Your Way."
We do not believe in fragmented AI tools. We build a unified platform where:
- Enterprise data stays within the customer environment
- AI agents are deployed securely on top of existing systems
- Complex workflows are converted into intelligent, automated AI agents
- Compliance, governance, and security are built into the architecture
We are seeking a Senior AI Full Stack Developer who can architect, build, and scale this platform.
Role Summary
This is a senior-level, hands-on technical role requiring:
- Deep full-stack development expertise (10+ years)
- Strong AI/LLM/Agentic AI implementation experience
- Enterprise SaaS architecture understanding
- Experience integrating AI with regulated industries (Healthcare, Clinical Trials, Government, Finance)
- Comfort working in a fast-growing startup environment
The candidate must be capable of translating enterprise workflows and compliance-heavy business logic into production-ready AI agents.
Key Responsibilities
1. Agentic AI Development
- Design and implement AI voice agents, WhatsApp agents, enterprise chatbots, and internal workflow agents
- Architect and build RAG pipelines and multi-agent orchestration frameworks
- Work with multiple LLM providers (OpenAI, Gemini, Claude, Grok, open-source LLMs)
- Convert enterprise-level workflows (healthcare protocols, reimbursement logic, compliance rules) into AI-driven execution engines
2. Full Stack Platform Engineering
- Lead backend development using Python and Node.js
- Design scalable APIs (REST / GraphQL) for agent interactions
- Build frontend integrations where needed (React / Next.js understanding preferred)
- Understand multi-tenant SaaS architecture and data isolation strategies
- Implement secure data access controls and permission layers
3. Secure Enterprise Data Integration
Connect AI agents to:
- Internal enterprise databases
- EMR/EHR systems
- SharePoint / internal document systems
- APIs and structured/unstructured datasets
- Ensure no data leakage across tenants
- Design secure ingestion pipelines aligned with SOC 2 and cloud security standards
4. Cloud & Infrastructure (GCP-Focused)
Must have hands-on experience with:
- Google Cloud Platform (GCP): Cloud Run, Vertex AI, GKE (if required), BigQuery, Cloud SQL, IAM policies
- Docker & containerization
- CI/CD pipelines (GitHub Actions, Cloud Build)
- Infrastructure as Code understanding (Terraform preferred)
5. Compliance & Security
Strong understanding of:
- SOC 2 controls
- Cloud security best practices
- Role-based access controls
- Audit logging
Experience working in regulated domains:
- Healthcare (HIPAA-aligned)
- Clinical trials
- Government environments
6. Leadership & Mentorship
- Guide and mentor junior AI developers
- Participate in architecture reviews
Collaborate closely with:
- Solution Architects
- Product Managers
- Security Team
- Sales Engineering Team
- Act as a technical representative in enterprise and government discussions when required
Click on Apply to know more.