Role & responsibilities

- Design and build production-grade AI applications using modern frontend, backend, and GenAI technologies.

- Develop intuitive user experiences for conversational AI, analytics, agent workflows, and decision-support applications.

- Build scalable backend APIs and services for AI-powered applications using Python-based frameworks such as FastAPI.

- Integrate LLMs and AI models from providers such as Anthropic, OpenAI, Azure OpenAI, and open-source models.

- Build and integrate RAG pipelines, knowledge retrieval, semantic search, tool calling, and multi-agent workflows.

- Develop capabilities that allow agents to interact securely with enterprise data, APIs, applications, and analytical workflows.

- Work with structured and unstructured data across Snowflake, Databricks, relational databases, object stores, and vector databases.

- Implement conversational and agentic workflows that can reason across data, documents, business rules, and domain-specific knowledge.

- Develop reusable UI components and product frameworks for multiple ciATHENA applications and use cases.

- Implement authentication, authorization, SSO, RBAC, audit logging, and enterprise security controls.

- Build AI observability, evaluation, tracing, monitoring, and feedback mechanisms.

- Optimize AI applications for performance, reliability, latency, and cost.





- Containerize and deploy services using Docker and cloud-native technologies.

- Participate in architecture decisions, code reviews, testing, CI/CD, and production support.

- Work closely with Forward-Deployed AI Engineers to rapidly configure and deploy customer-specific use cases.

- Translate product requirements and business workflows into working software with minimal handoffs.

Preferred candidate profile

- 4-6 years of software engineering experience with robust full-stack development capability.

- At least 1-2 years of hands-on experience building applications using LLMs or GenAI technologies.

- Strong Python development skills.

- Strong experience with React, Next.js, TypeScript, or equivalent modern frontend frameworks.

- Experience building APIs, backend services, and distributed applications.

- Hands-on experience integrating LLMs into production applications.

- Understanding of RAG, embeddings, vector search, prompt design, and agent architectures.

- Ability to work with enterprise data platforms and relational databases.

- Strong understanding of software engineering fundamentals, design patterns, testing, and maintainability.

- Experience building secure enterprise applications with authentication and authorization.

📌 Full Stack AI Engineer (Gurugram)
🏢 CustomerInsights.AI
📍 Gurugram