AI Developer

Company Description

Giggso, founded in 2017 in Michigan, helps enterprises navigate the complexities of digital transformation with a strong focus on AI governance. As a certified Minority Business Enterprise (MBE), the company brings diverse perspectives to solving complex business and technology challenges. Giggso serves Fortune 500 clients globally, helping them move from experimental AI pilots to scalable AI profit centers. The firm is built at the intersection of Governance, Risk, Compliance (GRC) and Engineering, turning AI governance from a bottleneck into a competitive advantage. Candidates can learn more about Giggso's solutions and culture at www.giggso.com.

Location – (India - Pune,Gurgaon,Chennai,Hyderabad)

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).
• Strong 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.