What are the responsibilities and job description for the AI Developer position at Giggso?
Company Description Giggso, founded in 2017 in Michigan, helps enterprises manage the challenges of digital transformation with a strong focus on AI governance. As a Minority Business Enterprise (MBE), the company brings diverse perspectives to solving complex problems for Fortune 500 clients around the world. Giggso specializes in turning experimental AI pilots into scalable, revenue-generating AI profit centers. The firm operates at the intersection of Governance, Risk, Compliance (GRC) and Engineering to address non-technical barriers to AI adoption. Its mission is to transform AI governance from an operational bottleneck into a strategic advantage for clients.
Role Overview:
We are seeking a highly skilled AI Developer with strong expertise in Generative AI and Data
AI to design, develop, and deploy intelligent solutions that leverage cutting-edge machine
learning models. The ideal candidate will have hands-on experience with LLMs, RAG
pipelines, Agentic AI systems, and data-driven AI applications, and will play a key role in
building scalable, secure, and high-performing AI platforms.
Key Responsibilities
- Generative AI Solutions: ( Design and implement applications using LLMs (e.g., GPT, Claude, Llama), including fine-tuning, prompt engineering, and multi-agent orchestration.
- Data AI Development: Build and optimize data-driven AI models for analytics, forecasting, anomaly detection, and decision support.
- RAG Pipelines: Develop retrieval-augmented generation workflows using vector databases (FAISS, Pinecone, Weaviate) to improve contextual accuracy.
- AI/ML Infrastructure: Deploy and manage AI workloads on cloud platforms (AWS, Azure, GCP) with MLOps practices (CI/CD, monitoring, drift detection).
- Integration & APIs: Build APIs and microservices to integrate AI models into enterprise applications.
- Security & Compliance: Implement responsible AI practices including guardrails, bias detection, PII handling, and auditability.
- Collaboration: Work closely with data engineers, product managers, and business stakeholders to align AI solutions with organizational goals.
Required Skills
- Strong programming skills in Python.
- Hands-on with LLMs, Transformers, LangChain, Hugging Face, OpenAI/Azure OpenAI.
- Experience with data pipelines, ETL, and analytics tools (Databricks, Spark, SQL).
- Proficiency in vector databases (FAISS, Pinecone, Weaviate).
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Familiarity with MLOps tools (MLflow, Kubeflow, Jenkins, GitHub Actions).
- Strrong understanding of DevSecOps practices and compliance frameworks.
- Excellent problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
- Experience in multi-agent AI orchestration and agentic workflows.
- Exposure to AI safety testing (hallucination detection, toxicity validation, bias mitigation).
- Prior work in enterprise-scale AI deployments with measurable business impact.
- Master’s degree in Computer Science, Data Science, or Artificial Intelligence.