Experience- 8+ Years
Job Description
- Design and develop AI/ML solutions using enterprise-approved tools and technologies.
- Develop reusable AI capabilities ("skills") such as copilots, agents, APIs, and domain-specific automation components for enterprise use.
- Build and operationalize AI-powered solutions including coding assistants, recommendation engines, search assistants, and workflow automation tools.
- Develop and implement Retrieval-Augmented Generation (RAG) based generative AI solutions, including text-to-code, diagram-to-code, recommendation services, and automation use cases.
- Implement AI-based search solutions, chatbots, and APIs to enhance user experience and functionality.
- Design and develop Generative AI, OpenAI, Large Language Models (LLMs), RAG, and AI agent-based implementations.
- Utilize vector databases and indexing techniques to optimize AI solutions.
- Work in cloud environments, preferably Azure (preferred) or AWS (acceptable), to deploy and manage AI solutions.
- Design and implement agent-based AI systems, including:
- Tool invocation and function calling
- Multi-step decision and reasoning chains
- Autonomous task execution and completion
- Work with agent orchestration frameworks such as LangGraph, AutoGen, or CrewAI.
Required Qualifications
- Proven experience in designing and developing AI skills (modular AI components such as copilots, agents, plugins, APIs, and reusable services).
- Experience defining and implementing evaluation metrics using tools such as RAGAS and DeepEval to measure reliability, accuracy, and memory retention of agentic systems.
- Strong expertise in Generative AI, OpenAI, LLMs, RAG, and AI agent-based implementations.
- Experience with vector databases and indexing techniques.
- Experience developing and implementing MCP Servers for integration with AI agents (e.g., Copilot Agent Mode).
- Strong programming skills in one or more languages such as Python, .NET, or Node.js.
- Hands-on experience with cloud platforms, particularly Azure (preferred) or AWS.
- Experience with model fine-tuning techniques such as LoRA/QLoRA to improve agent behavior.
Preferred Qualifications
- Experience building enterprise-grade AI skill catalogs, developer platforms, or reusable AI frameworks.
- Experience developing reusable Terraform frameworks or internal developer platforms for AI workloads.
- Experience standardizing Infrastructure as Code (IaC) templates across teams.
- Advanced degree in Computer Science, Engineering, or a related field.
- Strong experience with cloud platforms and Terraform Infrastructure as Code.
- Strong adherence to secure coding practices.
- Experience with monitoring, logging, and alerting tools such as Splunk.
Pay: ₹1,000,000.00 - ₹1,900,000.00 per year
Work Location: Remote
