Job Title

First Party Claude Engineer

Experience

6–8 Years

Employment Type

Full-Time

Location

US (NY/NJ – Hybrid/Onsite based on project requirements) & Offshore

About the Role

We are seeking a highly skilled First Party Claude Engineer with 6–8 years of software engineering experience and hands-on expertise in building enterprise-grade Generative AI applications using the Anthropic Claude ecosystem.

The ideal candidate will be responsible for developing, integrating, optimizing, and maintaining Claude-powered AI applications and services. This role requires strong engineering capabilities in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, cloud platforms, and production-grade AI deployments.

You will collaborate with AI architects, product managers, platform engineers, and business teams to build scalable, secure, and high-performing AI solutions.

Requirements

Key Responsibilities

• Develop and maintain enterprise AI applications powered by Anthropic Claude models.
  
• Design, build, and optimize inference pipelines for production AI workloads.
  
• Integrate Claude APIs into enterprise applications and backend systems.
  
• Design and implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
  
• Build AI agents and agentic workflows using modern orchestration frameworks.
  
• Develop scalable backend services and REST APIs using Python.
  
• Implement prompt engineering strategies for different business use cases.
  
• Optimize AI application performance for latency, throughput, reliability, and cost.
  
• Build reusable AI components, libraries, and integration frameworks.
  
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
  
• Integrate AI applications with enterprise systems, APIs, and databases.
  
• Implement monitoring, logging, evaluation, and observability for AI applications.
  
• Troubleshoot production issues and continuously improve platform performance.
  
• Follow enterprise security, governance, and responsible AI best practices.
  
• Participate in code reviews, technical discussions, and architecture planning.
  

Required Skills & Qualifications

• 6–8 years of experience in Software Engineering or Backend Development.
  
• Minimum 2 years of hands-on experience working with Large Language Models (LLMs) and Generative AI.
  
• Strong hands-on experience with Anthropic Claude APIs and enterprise AI integrations.
  
• Proficiency in Python.
  
• Experience building REST APIs using FastAPI, Flask, or similar frameworks.
  
• Strong understanding of:
  
  • Large Language Models (LLMs)
    
  • Prompt Engineering
    
  • Retrieval-Augmented Generation (RAG)
    
  • AI Agents and Agentic Workflows
    
  • Embeddings and Semantic Search
    
• Experience with AI orchestration frameworks such as:
  
  • LangChain
    
  • LangGraph
    
  • Semantic Kernel
    
• Experience working with vector databases such as:
  
  • Pinecone
    
  • ChromaDB
    
  • Weaviate
    
  • Milvus
    
  • FAISS
    
• Experience integrating AI applications with enterprise platforms and APIs.
  
• Good understanding of cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
  
• Familiarity with Git, Docker, Kubernetes, and CI/CD pipelines.
  
• Strong analytical, debugging, and problem-solving skills.
  
• Excellent communication and collaboration abilities.
  

Preferred Skills

• Experience building AI copilots or conversational AI solutions.
  
• Experience developing multi-agent AI systems.
  
• Familiarity with Model Context Protocol (MCP).
  
• Experience with Azure AI Foundry or Azure OpenAI Services.
  
• Knowledge of AI evaluation and observability tools such as Langfuse, Phoenix, or OpenTelemetry.
  
• Exposure to Redis, Kafka, or event-driven architectures.
  
• Understanding of AI guardrails, responsible AI, and enterprise security practices.
  
• Experience with DevOps and MLOps concepts for AI deployments.
  

Technical Skill Set

Programming Languages

• Python
  
• SQL
  

AI & Generative AI

• Anthropic Claude
  
• Prompt Engineering
  
• Retrieval-Augmented Generation (RAG)
  
• AI Agents
  
• LangChain
  
• LangGraph
  
• Semantic Kernel
  

Backend Technologies

• FastAPI
  
• Flask
  
• REST APIs
  
• Microservices
  

Databases

• PostgreSQL
  
• Pinecone
  
• ChromaDB
  
• Weaviate
  
• Milvus
  
• FAISS
  

Cloud Platforms

• Microsoft Azure
  
• Amazon Web Services (AWS)
  

DevOps & Tools

• Git
  
• Docker
  
• Kubernetes
  
• CI/CD Pipelines
  

Monitoring & Observability

• Langfuse
  
• OpenTelemetry
  
• Phoenix (Preferred)
  

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  
• Master's degree is an advantage but not mandatory.
  

Preferred Certifications

• Azure AI Engineer Associate (AI-102)
  
• Azure Fundamentals (AZ-900)
  
• AWS Certified Machine Learning – Specialty (Preferred)
  
• Anthropic Claude Certification or equivalent Generative AI certification (Preferred)