GenAI Developer

Generative AI Developer

Key Responsibilities

• Develop

  GenAI-driven features

  for applications and workflows.
• Build and integrate

  AI agents

  for automation and conversational interfaces.
• Deploy

  GenAI solutions

  (not raw models) into production environments ensuring scalability and security.
• Work with

  cloud AI services

  (Azure OpenAI, AWS Bedrock, GCP Vertex AI) for model hosting and orchestration.
• Implement

  prompt engineering

  ,

  context management

  , and

  guardrails

  for safe AI usage.
• Collaborate with product teams to design

  user-centric AI experiences

  .
• Optimize solutions for

  cost, latency, and compliance

  .
• Stay updated on

  GenAI frameworks

  ,

  Copilot integrations

  , and emerging best practices.

Required Skills & Qualifications

• Education:

  Bachelors in Computer Science, AI/ML, or related field.

• Experience:

  2–3 years in AI/ML development, with at least 1 year in

  GenAI solution deployment

  .
• Strong proficiency in

  Python

  and API integration.
• Hands-on experience with

  GitHub Copilot

  ,

  GHCP

  , and AI-assisted development tools.
• Familiarity with Strands Agents framework, CrewAI, Azure's Agents-framework, GCP's Agent Development Kit, and certification in

  prompt engineering

• Experience deploying solutions using

  Azure AI

  ,

  AWS

  , or

  GCP

  .
• Understanding of

  security, compliance, and ethical AI principles

  .

Preferred Skills

• Knowledge of

  RAG pipelines

  and

  vector databases

  .
• Experience with

  workflow automation

  using AI agents.
• Exposure to

  CI/CD

  ,

  Docker

  , and

  Kubernetes

  for solution deployment.
• Familiarity with

  enterprise AI governance

  and

  cost optimization strategies

  .