Generative AI at VARITE INC in Bangalore, Karnataka

Job description

• Job Description
• Support deployment of Generative AI and agentic solutions in customer environments by executing defined tasks across integration, testing, and stabilization.
• Work closely with senior engineers to translate solution designs into working implementations, ensuring adherence to standards, reliability, and quality.

Responsibilities

• Support customer deployments by executing assigned tasks across pilot and production phases.
• Implement defined components for AI solutions including APIs, workflows, and integrations.
• Assist in building and configuring RAG pipelines, agent workflows, and orchestration layers under guidance.
• Execute testing, validation, and basic evaluation of GenAI solutions using provided frameworks.
• Monitor system performance and support issue identification and resolution.
• Work with data, APIs, and platform components to ensure smooth system integration.
• Follow established practices for safety, governance, and responsible AI implementation.
• Document implementation steps, configurations, and known issues for reuse.
• Collaborate with cross-functional teams (engineering, platform, support) for execution tasks.
• Support debugging and troubleshooting in production and non-production environments.

Requirements

• Experience: 5–8 Years
• Key Skills (Mandatory)
• Basic to intermediate proficiency in Python.
• Understanding of APIs, microservices, and system integration.
• Familiarity with cloud platforms (Azure / AWS / GCP).
• Exposure to Generative AI / LLM concepts.
• Strong problem-solving and willingness to learn.
• Good communication skills for team collaboration.
• Exposure to OpenAI / Azure OpenAI or similar APIs.
• Basic understanding of RAG and prompt engineering.
• Familiarity with agent frameworks (LangChain, LangGraph, etc.).
• Knowledge of databases or vector stores.
• Exposure to debugging, logging, and monitoring tools.

Skills

Required

• Python
• APIs
• Microservices
• System integration
• Cloud platforms (Azure / AWS / GCP)
• Generative AI / LLM concepts
• Problem-solving
• Communication

Preferred

• OpenAI / Azure OpenAI APIs
• RAG
• Prompt engineering
• Agent frameworks (LangChain, LangGraph)
• Databases or vector stores
• Debugging, logging, and monitoring tools