First Party Engineer-Claude

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)