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Senior GenAI Developer/Lead

Marici SolutionsNew York, NY🇺🇸United StatesPosted 11 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role: Senior GenAI Developer/Lead Agentic AI & RAG Solutions
Work Location: NY -10004 & Alpharetta GA (Onsite/Hybrid, 3 days from office)
Interviews Mode: 1 virtual technical interview and 1 Final client In-person interview
Role Summary
We are seeking a highly skilled Senior GenAI Developer with strong expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), intelligent agents, vector databases, and cloud-native AI services. This role requires hands-on experience building scalable AI solutions that automate business processes and deliver advanced conversational experiences.
Key Responsibilities
  • Design and develop GenAI applications using LLMs, RAG architectures, and Agentic AI frameworks.
  • Build intelligent AI agents capable of planning, reasoning, tool usage, and multi-step task execution.
  • Develop and optimize RAG pipelines using vector databases and embedding models.
  • Integrate OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs into enterprise applications.
  • Create AI-powered chatbots, copilots, virtual assistants, and workflow automation solutions.
  • Fine-tune prompts, evaluate model performance, and improve response quality.
  • Implement orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Develop scalable APIs and backend services using Python.
  • Collaborate with data engineers, architects, and business stakeholders to deliver AI-driven solutions.
  • Ensure AI security, governance, observability, and responsible AI practices.
Required Skills
  • Strong experience in Generative AI and Large Language Models (LLMs).
  • Hands-on expertise with RAG (Retrieval-Augmented Generation) architecture.
  • Strong experience in Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or Semantic Kernel.
  • Advanced programming skills in Python.
  • Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
  • Strong understanding of embeddings, prompt engineering, and model evaluation.
  • Experience integrating LLMs through APIs and cloud platforms.
  • Knowledge of REST APIs, Microservices, and scalable backend development.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Preferred Skills
  • Experience with Azure OpenAI Services.
  • Exposure to fine-tuning, model training, and MLOps.
  • Experience with knowledge graphs and multi-agent systems.
  • Familiarity with Kubernetes, Docker, and CI/CD pipelines.
  • Experience building AI applications for Banking, Financial Services, or Enterprise domains.
Technologies
GenAI: OpenAI, Azure OpenAI, Claude, Gemini, Llama
Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel
Programming: Python, FastAPI, REST APIs
Data: Vector Databases, SQL/NoSQL Databases
Cloud: AWS, Azure, Google Cloud Platform

Skills

Docker
FastAPI
Microservices
SQL
AWS
MLOps
Azure
Generative AI
Google Cloud
Kubernetes
Python
REST

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