
AI Engineer (NCS/Job/ 3735)
For A Leading Co Provider Of Digital And Ai Solutions And Products
3 - 7 Years
Full Time
Immediate
Up to 19 LPA
1 Position(s)
Remote - Wfh
Posted By : Nilasu Consulting Services Pvt Ltd
Posted 3 Days Ago
Job Skills
Job Description
Role Overview
We are seeking a skilled AI Application Developer to support ongoing AI initiatives. The ideal candidate will have hands-on experience building AI-powered applications using modern LLMs (specifically Anthropic Claude) and full-stack development expertise across web technologies.
Key Responsibilities
- Design and develop AI-driven applications leveraging Claude (Anthropic) models
- Build and integrate backend services using Python-based frameworks (e.g., FastAPI, Flask)
- Develop responsive and scalable front-end applications using React.js
- Design and manage relational databases (preferably PostgreSQL)
- Implement end-to-end full-stack solutions, including APIs, UI, and data layers
- Integrate LLM capabilities into enterprise applications (RAG, prompt orchestration, workflows)
- Collaborate with cross-functional teams including product owners, infrastructure and DevOps
- Ensure code quality, security, scalability, and performance best practices
Required Skills
- 3–7 years of experience in full-stack development
- Strong experience with Claude (Anthropic) or similar LLM-based application development
- Proficiency in Python and modern backend frameworks (FastAPI/Flask/Django)
- Solid experience with React.js and modern JavaScript/TypeScript
- Hands-on experience with PostgreSQL or comparable relational databases
- Experience with REST APIs, microservices architecture, and integration patterns
- Experience with prompt engineering, RAG, and AI application design patterns, multi-agent orchestration,
- Experience with Agent Frameworks, Claude Tool/plugin (function calling) integration, hooks/lifecycle management, reusable skills design
- Experience with version control systems (Git) and CI/CD pipelines
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS etc.)
- Understanding of enterprise system integrations
- Exposure to containerization (Docker, Kubernetes)
- Knowledge of security and compliance requirements for AI applications
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