AI Engineer (Agentic Systems & AWS Bedrock)

Qualifications

• frameworks, Retrieval-Augmented Generation (RAG) systems, and hands-on
• experience with AWS Bedrock
• The ideal candidate will have strong backend
• programming skills in Java, Python, and Node.js and a proven track record of building
• agentic AI architectures, including autonomous agents and vector-based retrieval
• 5+ years of backend development experience with Java, Python, and/or Node.js
• Strong experience with AWS Cloud, particularly AWS Bedrock (mandatory)
• Hands-on experience with LangChain, AutoGPT, or similar agentic frameworks
• Experience with RAG (Retrieval-Augmented Generation) architectures
• Familiarity with vector databases and embedding techniques (e.g., OpenAI
• Embeddings, Cohere, etc.)
• Understanding of agent-to-agent communication protocols and LLM orchestration
• Experience with modern ML/AI tools and APIs
• Familiarity with other LLM providers (Anthropic, Mistral, Cohere, etc.)
• Exposure to prompt engineering and chaining logic
• DevOps or MLOps experience on AWS

Responsibilities

• Design and develop AI-powered applications leveraging RAG techniques and vector
• databases
• Build and maintain scalable backend services using Java, Python, and Node.js
• Develop and deploy intelligent agent-based systems using frameworks such as
• LangChain or AutoGPT
• Integrate with AWS Bedrock and related services (e.g., S3, Lambda, SageMaker, etc.)
• Work with embedding models and vector DBs like Pinecone, Weaviate, or FAISS
• Implement agent-to-agent communication protocols and autonomous task execution
• pipelines
• Collaborate with cross-functional teams to translate AI research into production-ready
• systems

Full Description

Job Description:

We are seeking an experienced AI Engineer with deep expertise in modern AI

frameworks, Retrieval-Augmented Generation (RAG) systems, and hands-on

experience with AWS Bedrock. The ideal candidate will have strong backend

programming skills in Java, Python, and Node.js and a proven track record of building

agentic AI architectures, including autonomous agents and vector-based retrieval

mechanisms.

Key Responsibilities:

• Design and develop AI-powered applications leveraging RAG techniques and vector

• databases

• Build and maintain scalable backend services using Java, Python, and Node.js

• Develop and deploy intelligent agent-based systems using frameworks such as

• LangChain or AutoGPT

• Integrate with AWS Bedrock and related services (e.g., S3, Lambda, SageMaker, etc.)

• Work with embedding models and vector DBs like Pinecone, Weaviate, or FAISS

• Implement agent-to-agent communication protocols and autonomous task execution

• pipelines

• Collaborate with cross-functional teams to translate AI research into production-ready

• systems

Required Skills & Experience:

• 5+ years of backend development experience with Java, Python, and/or Node.js

• Strong experience with AWS Cloud, particularly AWS Bedrock (mandatory)

• Hands-on experience with LangChain, AutoGPT, or similar agentic frameworks

• Experience with RAG (Retrieval-Augmented Generation) architectures

• Familiarity with vector databases and embedding techniques (e.g., OpenAI

• Embeddings, Cohere, etc.)

• Understanding of agent-to-agent communication protocols and LLM orchestration

• Experience with modern ML/AI tools and APIs

Nice to Have:

• Familiarity with other LLM providers (Anthropic, Mistral, Cohere, etc.)

• Exposure to prompt engineering and chaining logic

• DevOps or MLOps experience on AWS