GENAI Developer

Tanisha Systems Inc; City of Albany (NY); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

Tanisha Systems Inc. seeks a highly skilled GenAI Developer with strong Python expertise to design, develop, and deploy Generative AI solutions. The role focuses on building AI-powered applications using LLMs, RAG, and agentic AI frameworks, with production-ready deployment and governance considerations.

You will design scalable AI systems, integrate LLMs with enterprise workflows, and optimize AI processes for performance and cost. Collaboration with stakeholders is essential.

Qualifications

• Proficient Python programming.
• Hands-on Generative AI and LLMs experience.
• Experience with LangChain and LangGraph.
• Knowledge of RAG, embeddings, and semantic search.
• REST API development using FastAPI or Flask.

Responsabilités

• Design, develop, and deploy Generative AI applications with Python.
• Build AI-powered chatbots, copilots, and document-processing solutions.
• Develop and implement RAG architectures using vector databases.
• Integrate and fine-tune LLMs (GPT, Claude, Llama, Gemini, Mistral).
• Create AI agents using LangChain, LangGraph, CrewAI, or AutoGen.
• Develop REST APIs and microservices with FastAPI/Flask.
• Implement prompt engineering to optimize accuracy and performance.
• Work with structured and unstructured data (PDFs, emails, documents).
• Integrate AI with enterprise apps, databases, and third-party systems.
• Monitor model performance, latency, and cost; ensure governance and compliance.
• Collaborate with stakeholders to deliver AI solutions.

Connaissances

Python

Generative AI

LLMs

LangChain

LangGraph

RAG

embeddings

semantic search

prompt engineering

FastAPI

Flask

Outils

FastAPI

Flask

Description du poste

Job Summary

We are seeking a highly skilled GenAI Developer with strong Python expertise to design, develop, and deploy Generative AI solutions. The ideal candidate will have hands-on experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-based AI services. The role involves developing scalable AI solutions, integrating LLMs with enterprise systems, and optimizing AI workflows for production environments.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Python.
• Build AI-powered chatbots, copilots, intelligent assistants, and document-processing solutions.
• Develop and implement RAG architectures using vector databases.
• Integrate and fine-tune LLMs such as GPT, Claude, Llama, Gemini, or Mistral.
• Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
• Create REST APIs and microservices using FastAPI, Flask, or Django.
• Implement prompt engineering and optimize prompts for accuracy and performance.
• Work with structured and unstructured data including PDFs, documents, emails, and knowledge repositories.
• Integrate AI solutions with enterprise applications, databases, and third-party systems.
• Monitor, evaluate, and optimize model performance, latency, and cost.
• Ensure AI governance, security, responsible AI practices, and compliance standards.
• Collaborate with business stakeholders, architects, and engineering teams to deliver AI solutions.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Generative AI and LLMs.
  • Experience with: LangChain/LangGraph
• Knowledge of RAG, embeddings, semantic search, and prompt engineering.
• Experience building REST APIs using FastAPI or Flask.