▷ Only 24h Left: AI Engineer – Generative AI

4 days ago

India IntraEdge Full time

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 - 6+ years of overall experience in AI/ML software development. - Strong proficiency in Python and experience with frameworks such as LangChain, LangGraph, and Strands API. - Proven experience in building and deploying Generative AI agents and multi-agent systems. - Expertise in prompt engineering and advanced LLM orchestration patterns. - Hands-on experience with AWS Bedrock and AWS serverless technologies (Lambda, API Gateway, DynamoDB, IAM, S3). - Deep understanding of the pitfalls and challenges in modern AI systems (e.g., hallucination, bias, scaling issues). - Excellent verbal and written communication skills. Bonus Skills - Knowledge of traditional machine learning techniques – regression, classification, clustering, deep learning, reinforcement learning. - Strong mathematical and statistical foundation. - Familiarity with model evaluation, fine-tuning, and RAG pipelines. - Experience integrating AI into enterprise-scale applications or data platforms.

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