Role & responsibilities :

We are looking for a skilled AI Solution Developer to design and deploy modular AI solutions as part of our AI-in-a-Box initiative. This role combines hands-on AI/ML development, solution architecture, and end-to-end lifecycle management.

You will work with advanced AI technologies such as LLMs, RAG pipelines, microservices, Vector Databases, and Knowledge Graphs to build deployable solutions (Activate, Deactivate, Remove) within client settings with ease.

Key Responsibilities
Design and build modular AI solutions using Lang Chain, Semantic Kernel, or custom pipelines
Develop APIs and AI agents for enterprise use cases
Translate business requirements into scalable AI solutions
Build ingestion pipelines and integrate enterprise data sources
Implement embedding, reranking, and retrieval strategies for RAG pipelines
Enforce structured outputs using Pydantic, function calling, or similar techniques
Containerize and deploy solutions using Docker and CI/CD pipelines
Monitor performance metrics and continuously improve system quality

Required Skills




Solid Python skills with experience in AI frameworks (LangChain, Transformers, OpenAI SDK, LLaMA APIs)
Hands-on experience with RAG pipelines, embeddings, and prompt design
Familiarity with Knowledge Graphs (Apache Jena, SPARQL)
Experience with Vector Databases (Pinecone, Chroma, etc.)
Knowledge of embedding models (OpenAI Ada, Cohere, BGE/E5) and reranking techniques
Experience building microservices (FastAPI, Flask)
Exposure to multi-agent frameworks (LangGraph, CrewAI, AutoGen)
Understanding of Model Context Protocol (MCP)
Cloud experience with Azure (AKS, App Service, ACI) and DevOps tools
Integration experience with enterprise platforms (Outlook, Teams, Salesforce)

Preferred Experience
Delivery of at least 2 AI projects (PoC or production)
Robust collaboration with business and technical stakeholders
Knowledge of Responsible AI practices
Experience in AI lifecycle management and packaging

📌 Ai Engineer Hyderabad
🏢 PwC
📍 Hyderabad