Job Description


Job Overview

  • Job ID:

    J55137

  • Job Title:

    Generative AI Developer

  • Location:

    Columbus, OH

  • Duration:

    8 Months + Extension

  • Domain Exposure:

    Healthcare

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Generative AI Developer 

Location:Columbus,OH

Duration: 8 Months + Extension

Bill Rate: $74/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

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, 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.
  • Required Qualifications
  • Overall 8+ years of experience in software development
  • 2+ years of professional experience in Python development.
  • 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.

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Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.