Senior AI Developer: LLMs, RAG, Agents & Cloud

Signature IT World Inc; Massachusetts; On-site; USD 130,000 - 190,000; Full time

Job summary

Signature IT World Inc. seeks an experienced AI Developer to design, develop, and deploy AI/ML and Generative AI solutions. The role requires hands-on work with Python, LLMs, RAG, AI agents, APIs, and cloud-based AI services.

You will design and develop AI/ML applications, build LLM-powered solutions, work with major platforms, and implement embedding/vector search, REST APIs, and CI/CD practices across enterprise environments.

Qualifications

• 5+ years of software development experience.
• Hands-on experience with Generative AI / LLMs.
• Experience with RAG, embeddings, vector databases, and prompt engineering.
• Experience building AI Agents / Agentic AI solutions.
• Knowledge of REST APIs, microservices, Git, and CI/CD.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Familiarity with LangChain, LlamaIndex, or Semantic Kernel.

Responsibilities

• Design and develop AI/ML and Generative AI applications using Python.
• Build and integrate LLM-powered applications, RAG pipelines, and AI agents.
• Work with models and platforms such as OpenAI, Azure OpenAI, Anthropic Claude, AWS Bedrock, or Vertex AI.
• Develop prompt engineering, embeddings, vector search, and document-processing solutions.
• Integrate AI solutions with enterprise applications through REST APIs and microservices.
• Implement model evaluation, monitoring, security, and performance optimization.
• Collaborate with data scientists, software engineers, and business teams to deliver AI solutions.
• Deploy AI applications using AWS/Azure/GCP and CI/CD practices.

Skills

Generative AI/LLMs

RAG

Embeddings

Vector databases

Prompt engineering

AI Agents

REST APIs

Microservices

Git

CI/CD

Cloud platforms (AWS/Azure/GCP)

Tools

LangChain

LlamaIndex

Semantic Kernel

Job description

Signature IT World Inc. seeks an experienced AI Developer to design, develop, and deploy AI/ML and Generative AI solutions. The role requires hands-on work with Python, LLMs, RAG, AI agents, APIs, and cloud-based AI services.

You will design and develop AI/ML applications, build LLM-powered solutions, work with major platforms, and implement embedding/vector search, REST APIs, and CI/CD practices across enterprise environments.