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Urgent! AI Engineer – Generative AI - Local Job Opening in Delhi
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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Unlock Your AI Engineer Potential: Insight & Career Growth Guide
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Great news! IntraEdge is currently hiring and seeking a AI Engineer – Generative AI to join their team. Feel free to download the job details.
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