Role Overview

We are looking for a AI Engineer

The ideal candidate will have hands-on experience with GenAI frameworks, prompt engineering, and integrating AI into scalable applications. You will work on enterprise-grade AI use cases, solving real-world problems using advanced AI techniques in an agile environment.

Key Responsibilities

GenAI Development & Implementation
- Design and develop applications using Large Language Models (LLMs) and GenAI frameworks.
- Develop prompt engineering strategies to improve accuracy, relevance, and performance of LLM outputs.
- Work on AI use cases such as chatbots, document processing, summarization, and knowledge assistants.
- Implement data preprocessing, chunking, and embedding workflows for unstructured data.
- Integrate GenAI models into APIs, microservices, or enterprise applications.
- Monitor, debug, and improve model responses, latency, and cost efficiency.

Collaboration & Delivery
- Collaborate with product managers, engineers, and stakeholders to translate business requirements into GenAI solutions.




- Participate in sprint planning, stand-ups, and design/code reviews.
- Work closely with data engineering and DevOps teams for scalable deployments.
- Ensure smooth integration of GenAI components into production systems.

Evaluation, Testing & Governance
- Define and implement evaluation metrics for LLM outputs (accuracy, hallucination, relevance).
- Conduct testing, validation, and iterative improvements to GenAI pipelines.
- Document prompts, workflows, and system design decisions.
- Ensure responsible AI practices, including data privacy and safe AI usage.

Requirements
Required Skills & Experience
- 2+ years of experience in AI/ML, with solid exposure to Generative AI systems.
- Proficiency in:
- Programming: Python
- GenAI/LLM Tools: OpenAI / Azure OpenAI / similar APIs
- Data Handling: Working with structured & unstructured data
- Frameworks: Langchain, LangGraph, LlamaIndex, etc.
- Experience in designing AI

📌 AI Engineer (Pune)
🏢 CCTech
📍 Pune