Live opening · Posted 6 days ago
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Description supplied by the original job listing.
Our client is seeking an AI-focused Developer to design, build, and deploy production-grade Generative AI and Agentic AI solutions.
The role requires strong hands-on expertise in Python or TypeScript, Agentic AI, RAG, LLMs, LangChain/LangGraph, vector databases, APIs, and cloud AI platforms, with practical experience delivering real-world AI applications into production.
Candidates with only theoretical knowledge, training, certifications, or basic proof-of-concept exposure in Agentic AI will not be considered.
Key Responsibilities
Build and deploy Generative AI and Agentic AI applications
Develop scalable backend services using Python or TypeScript
Design RAG pipelines, LLM workflows, and agentic architectures
Build agents using tool calling, APIs, memory, planning, retrieval, and multi-step workflows
Integrate REST APIs, GraphQL APIs, vector databases, and enterprise data sources
Deploy AI applications on AWS, Azure, or GCP
Monitor and optimize AI systems for accuracy, reliability, latency, scalability, and cost
Implement Git, CI/CD, documentation, and production deployment workflows
Collaborate with engineering, product, data, and business teams
Required Skills – Must Have
Experience: 3+ years of overall relevant software / AI application development experience
Generative AI / LLMs: 2+ years of hands-on experience building LLM-based applications
Agentic AI: 1+ year of hands-on experience building and deploying real-world Agentic AI solutions. Proven experience with multi-step agent workflows, tool calling, API integration, memory, planning, reasoning, and autonomous execution
Python: Strong proficiency in Python for backend and AI application development
RAG: Strong understanding of Retrieval-Augmented Generation, embeddings, semantic search, vector retrieval, and contextual grounding
LangChain / LangGraph: Hands-on experience with LLM orchestration and agent frameworks
Vector Databases: Experience with Pinecone, ChromaDB, FAISS, Weaviate, or similar
Nice-to-Have Skills
Multi-agent systems
Advanced RAG architectures
AutoGen, CrewAI, or Semantic Kernel
Agent memory, planning, state management, and human-in-the-loop workflows
LLM evaluation, observability, guardrails, and responsible AI
Docker, Kubernetes, serverless, and cloud-native deployments
LLM optimization for latency, reliability, token usage, and cost
Fine-tuning, model selection, and AI application security
About YMinds.AI
YMinds.AI is a technology-focused talent solutions company helping organizations hire exceptional professionals across Engineering, AI/ML, Data, Cloud, Product, and Business functions.
Through our AI-powered talent platform, EmployAbility.AI, we enable faster access to verified and high-quality candidates through intelligent matching, expert screening, and a continuously refreshed talent network.
Keywords
Agentic AI Developer, Generative AI Engineer, LLM Developer, AI Agents, Python, TypeScript, RAG, LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, REST APIs, GraphQL, Microservices, Prompt Engineering, Tool Calling, Vector Databases, Pinecone, ChromaDB, FAISS, Weaviate, AWS Bedrock, SageMaker, Vertex AI, Azure OpenAI, CI/CD
Hashtags
#AgenticAI #GenerativeAI #AIEngineer #LLMDeveloper #AIAgents #Python #TypeScript #RAG #LangChain #LangGraph #LlamaIndex #PromptEngineering #CloudAI #Hiring #TechJobs #YMindsAI
Work arrangement
Yes
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