Work Timing: 2:00 PM to 11:30 PM IST | Afternoon Shift
Notice Period: Immediate Joiners Preferred
About Naveera
Naveera is a global technology and engineering partner helping enterprises build, modernize, and scale their digital ecosystems through Data Engineering, Generative AI, Application Engineering, Cloud, and IT Infrastructure.
With 15+ years of experience in technology services and consulting, we work with organizations to turn complex technology challenges into scalable, production-ready solutions that deliver measurable business value.
Our approach is built around Production over Pilots. We focus on engineering solutions that move beyond experimentation into real-world deployment, scale, and sustained business impact.
Through our Center of Excellence driven delivery model, product engineering approach, and globally integrated engineering teams, Naveera brings together domain expertise, modern technology, and disciplined execution.
Our capabilities span industries including Healthcare and Life Sciences, Financial Services, Manufacturing, Retail, Energy, and Technology.
At Naveera, you will have the opportunity to work on complex enterprise challenges, build modern technology solutions, and contribute to products and platforms designed for real-world business outcomes.
About the Role
Naveera is looking for an experienced AI Automation Engineer to design, develop, and deploy enterprise-grade AI automation solutions, with a strong focus on Healthcare and Revenue Cycle Management (RCM).
The role combines Python backend engineering, Generative AI, AI agents, RAG, workflow orchestration, cloud technologies, and enterprise integrations.
You will be responsible for building scalable AI-powered applications and automation workflows that integrate with existing enterprise systems. You will also contribute to architecture, engineering best practices, production support, and technical mentoring.
The ideal candidate is a hands-on engineer with strong backend development experience and proven experience building production-grade AI applications and automation platforms.
What You’ll Do
- Build scalable Python backend services, REST APIs, asynchronous processing, and microservices
- Design and implement long-running workflows using Temporal or equivalent workflow orchestration platforms
- Develop AI agents using modern AI agent frameworks and enterprise LLM platforms
- Integrate Python services with C#/.NET applications, enterprise systems, and external APIs
- Design secure, scalable, stateful and stateless backend architectures
- Implement event-driven architecture and distributed processing patterns
- Implement authentication and authorization using OAuth2, JWT, SSO, RBAC, and ABAC
- Develop AI-powered workflows across RCM, claims, eligibility, enrollment, payer/provider integrations, and document automation
- Build full-stack AI applications covering backend APIs, workflow services, AI orchestration, and frontend integration
- Develop and implement RAG-based enterprise AI solutions
- Integrate vector databases and enterprise knowledge sources into AI applications
- Implement AI Ops practices including monitoring, observability, logging, model evaluation, lifecycle management, and production support
- Establish engineering best practices across code quality, testing, CI/CD, documentation, and deployment
- Troubleshoot complex technical and production issues and drive reliability and performance improvements
- Conduct code reviews and mentor engineers
- Collaborate with product, engineering, architecture, and domain teams to deliver enterprise AI solutions
Required Skills
Backend Engineering
- Expert-level proficiency in Python
- Strong experience with FastAPI, Flask, or Django
- Strong understanding of REST APIs, WebSockets, and asynchronous programming
- Experience building microservices and scalable backend systems
- Experience with external API and enterprise system integrations
- Experience integrating Python services with C#/.NET applications
AI & Automation
- Hands-on experience with AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent
- Experience integrating LLM platforms such as Amazon Bedrock, OpenAI, or Azure OpenAI
- Strong understanding of prompt engineering
- Experience designing and implementing RAG architectures
- Knowledge of AI guardrails
- Experience with vector databases such as Pinecone, ChromaDB, or pgvector
- Understanding of MCP (Model Context Protocol) and AI tools/skills integration
- Experience building AI-powered automation workflows
Cloud & AI Ops
- Experience with AWS; Azure experience is an advantage
- Docker and Git
- CI/CD pipelines
- Application monitoring and logging
- Observability and production support
- AI Ops and model monitoring
- Model lifecycle management
- Production deployment of AI applications
Security
- OAuth2
- JWT
- SSO
- RBAC / ABAC
- API Security
- Secrets Management
Databases
- Strong SQL skills
- SQL Server / PostgreSQL / Amazon Redshift
- Redis
- NoSQL databases
- Vector databases
Nice to Have
Kubernetes, Kafka / RabbitMQ, GraphQL, Playwright / Browser Automation, Terraform / Infrastructure as Code, Snowflake / Databricks, MLflow / Model Lifecycle Management, React or modern frontend frameworks
What You Can Expect at Naveera
At Naveera, you will work on technology challenges where AI, data, software engineering, and cloud come together to solve real enterprise problems.
You will have opportunities to:
- Build and deploy production-grade AI solutions
- Work with modern Generative AI, Agentic AI, RAG, and automation technologies
- Solve complex healthcare and enterprise use cases
- Contribute to architecture and technical decisions
- Work alongside experienced engineers and domain specialists
- Develop solutions designed for scalability, security, reliability, and business impact
- Grow your expertise across emerging AI and enterprise engineering technologies
Join Naveera
If you are an experienced AI engineer who enjoys building scalable systems, solving complex problems, and taking AI solutions from concept to production, we would like to hear from you.