AI Engineer – Generative AI

Job Title : AI Engineer – Generative AI

Location : Remote

Experience : 6+ Years

Employment Type : Full-Time

Job Description

We are seeking a highly skilled AI Engineer with deep expertise in Generative AI, Agent Frameworks, and AWS Serverless technologies . The ideal candidate will have a strong foundation in Python-based AI development and hands-on experience in building, deploying, and optimizing intelligent systems using LangChain, LangGraph, Strands API , and related frameworks.

This role involves designing end-to-end AI solutions , including multi-agent architectures , prompt engineering, and integration with enterprise-grade cloud systems. The candidate should bring a strong understanding of both modern GenAI capabilities and traditional ML techniques , with the ability to navigate real-world challenges in AI development and deployment.

Key Responsibilities

• AI Agent Development :
• Design, build, and deploy intelligent agents and multi-agent systems using frameworks like LangChain, LangGraph, and Strands API .
• Implement autonomous workflows, context management, and memory modules for AI agents.
• Optimize LLM-based systems for performance, reliability, and cost efficiency.
• Prompt Engineering & Model Interaction :
• Develop and refine high-quality prompts to drive consistent and accurate model responses.
• Build reusable prompt templates, chains, and agent behaviors tailored to business use cases.
• Evaluate prompt performance and introduce enhancements through A / B testing and fine-tuning.
• Cloud & Infrastructure (AWS) :
• Architect and deploy AI workloads using AWS Bedrock and serverless components (Lambda, API Gateway, DynamoDB, IAM, S3).
• Integrate GenAI solutions into scalable, secure, and production-grade environments.
• Automate pipelines for model deployment, versioning, and monitoring.
• Research & Experimentation :
• Stay updated with the latest in LLM models, agent architectures, retrieval-augmented generation (RAG) , and AI orchestration frameworks .
• Experiment with new GenAI tools and APIs to enhance solution capabilities.
• Identify pitfalls, risks, and ethical challenges of AI implementation and propose mitigation strategies.
• Collaboration & Communication :
• Work closely with product managers, data scientists, and software engineers to define AI solution requirements.
• Communicate complex technical concepts clearly to non-technical stakeholders.
• Contribute to documentation, demos, and knowledge-sharing sessions.

Required Skills & Experience

Bonus Skills