First Party Engineer-Claude

Latent Bridge

Pune District

Hybrid

INR 14,340,000 - 20,076,000

Full time

14 days+

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Job summary

LatentBridge is seeking a skilled First Party Claude Engineer with 6–8 years of software engineering experience to build enterprise-grade Generative AI apps using the Anthropic Claude ecosystem.

You will develop, integrate, optimize, and maintain Claude-powered AI services, focusing on LLMs, RAG, AI agents, prompt engineering, cloud platforms, and production deployments. Collaboration with AI architects and product teams will be essential to deliver secure, scalable solutions.

Qualifications

6–8 years of software engineering or backend development.
Minimum 2 years with LLMs and Generative AI.
Proficiency in Python and enterprise AI integrations.

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 RAG solutions using vector databases.
Build AI agents and agentic workflows with modern orchestration frameworks.
Develop scalable backend services and REST APIs using Python.

Skills

Python

Claude APIs

Prompt Engineering

RAG

LLMs

REST APIs

Docker

Kubernetes

LangChain

Azure/AWS

Education

Bachelor's degree in CS/related

Tools

Pinecone

ChromaDB

Weaviate

Milvus

FAISS

AWS

Azure

Git

Docker

Kubernetes

Job description

At LatentBridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

Job Description

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:

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.
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