Artificial Intelligence Engineer

Gen AI Senior Full Stack Developer

Jaipur / Indore

6-10 Years

Hybrid - 3 days office

Interview - Virtual / Face to Face

Must Have:

* Excellent communication skills

* 610+ years of software development experience.

* Strong full stack development skills:

* Backend: Python, FastAPI, PyTest, OpenAI API integration, RESTful API design.

* Database: PostgreSQL/SQL, schema design, query optimization, migrations.

* Frontend: ReactJS, TypeScript, NextJS, CLI tools; OfficeJS

* DevOps: CI/CD (GitHub Actions/Jenkins), Kubernetes, Docker, cloud-native deployment.

* Monitoring/Testing: Datadog, Postman, automated test cases.

* AI Tools: CoPilot, Cursor, productivity-enhancing dev workflows.

* Hands-on experience with Generative AI and LLM integration.

* Experience with:

* Prompt engineering

* RAG pipelines

* Embeddings and vector databases

* AI API integration

* Strong experience building RESTful APIs and microservices.

* Familiarity with containerization (Docker, Kubernetes).

Good To Have:

* Experience fine-tuning open-source models.

* Knowledge of AI safety, governance, and responsible AI practices.

* Experience with LangChain, LlamaIndex, or similar orchestration frameworks.

* Experience with real-time streaming applications.

* MLOps and model lifecycle management.

* Experience building AI copilots, chatbots, or knowledge assistants.

* Strong problem-solving and analytical thinking.

* Ability to work in fast-moving technical environments.

* Excellent communication and stakeholder interaction.

* Ownership mindset and delivery focus.

Job Responsibility:

* Generative AI Development

* Develop scalable backend services and APIs for AI applications.

* Build responsive and interactive frontends for AI-driven user experiences.

* Implement authentication, data pipelines, and real-time interactions.

* Ensure high availability, security, and scalability.

* Implement monitoring, logging, and observability for AI systems.

* Containerize and deploy AI applications in cloud environments.

* Implement CI/CD pipelines and infrastructure automation.

* Work with product teams to translate business needs into AI solutions.

* Mentor developers and guide best practices in AI engineering.

* Participate in architecture reviews and technical decision-making