Position Details: AI Engineer

Description:

Skill- AI Engineer

• Location:
• India/Remot

Experience:

• 5–9 Years
• Engagement Type:
• Contract

Shift: 3 PM - 12 AM

JD-

• 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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