gjwdUUNA3F 4D WFXcXBagg – Python — New York, NY

Hiring: Generative AI Developer – Python

Work Location: New York City, NY (Hybrid – 3 days onsite per week)

Experience: 8+ years overall software development experience, including 2+ years of professional Python development

Engagement Type: Full-time

Important Engagement Details:

This is a full-time opportunity.

Required Qualifications

• 8+ years of overall software development experience.

• 2+ years of professional Python development experience.

• Experience building applications using Generative AI or large language models.

• Strong knowledge of Python programming, object-oriented design, and software development practices.

• Experience working with REST APIs, JSON, databases, and third-party integrations.

• Knowledge of prompt engineering and LLM application development.

• Experience with RAG, embeddings, semantic search, and vector databases.

• Familiarity with machine learning and natural language processing concepts.

• Experience with Git, unit testing, debugging, and code documentation.

• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.

• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or Hugging Face.

• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.

• Experience developing APIs with FastAPI, Flask, or Django.

• Familiarity with Docker, Kubernetes, CI/CD, and MLOps practices.

• Experience with databases such as PostgreSQL, MongoDB, Elasticsearch, or Redis.

• Knowledge of machine learning libraries such as PyTorch, TensorFlow, scikit-learn, or Transformers.

• Understanding of model fine-tuning, LoRA, PEFT, and model evaluation techniques.

• Experience with AI safety, data privacy, security, and responsible AI practices.

• Familiarity with observability and monitoring tools for production AI systems.

Position Overview

We are seeking a talented Generative AI Developer with strong Python experience to design, develop, and deploy AI-powered applications and intelligent automation solutions.

The ideal candidate will have hands-on experience with large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), machine learning frameworks, and cloud-based AI services.

The successful candidate will work closely with product managers, software engineers, data scientists, and business stakeholders to build scalable, secure, and high-performing Generative AI solutions.

Key Responsibilities

• Design and develop Generative AI applications using Python.

• Build and integrate solutions using large language models such as GPT, Claude, Gemini, Llama, or similar models.

• Develop prompt templates, prompt chains, and evaluation frameworks to improve model accuracy and reliability.

• Implement Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources.

• Work with vector databases such as Pinecone, FAISS, Weaviate, Milvus, or Chroma.

• Develop AI agents, conversational applications, chatbots, and intelligent automation workflows.

• Integrate AI models with internal systems, APIs, databases, and third-party platforms.

• Use frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools.

• Prepare, clean, process, and manage structured and unstructured data.

• Develop APIs and backend services using Python frameworks such as FastAPI or Flask.

• Evaluate model performance, response quality, latency, cost, and safety.

• Implement techniques to reduce hallucinations and improve factual accuracy.

• Collaborate with engineering teams to deploy AI solutions into production.

• Apply software engineering best practices, including version control, testing, documentation, and code reviews.

• Monitor deployed models and applications for reliability, security, and performance.

• Stay current with developments in Generative AI, machine learning, NLP, and cloud technologies.