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.
- Positive 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)

📌 First Party Engineer-Claude (Pune)
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