AI Developer / AI Engineer (LLM, RAG & Agentic AI)
We are seeking a highly skilled and innovative AI Developer to design, develop, and deploy advanced AI-powered applications using modern LLM, RAG, and Agentic AI architectures. The ideal candidate will have strong hands‑on experience in Python-based AI development and practical exposure to frameworks such as LangChain, LangGraph, and OpenAI ecosystems.
You will play a key role in building scalable AI solutions, implementing Retrieval-Augmented Generation (RAG) systems, developing AI agents, and integrating embeddings with vector databases.
Key Responsibilities
AI & LLM Development
* Design and implement AI applications using Large Language Models (LLMs).
* Integrate OpenAI APIs and other foundation models into production systems.
* Develop and optimize prompt engineering strategies for accuracy and performance.
* Build and deploy scalable AI services and APIs.
RAG & Knowledge Systems
* Design and implement Retrieval-Augmented Generation (RAG) pipelines.
* Develop ingestion pipelines for document processing and embedding generation.
* Implement semantic search using vector databases.
* Optimize chunking strategies, embeddings, and retrieval logic.
Agentic AI & Orchestration
* Build intelligent AI Agents using LangChain and LangGraph.
* Implement state management, multi-step workflows, and tool integrations.
* Design agentic workflows for task automation and decision-making.
* Work with specification-driven development approaches for AI systems.
Embeddings & Vector Databases
* Generate embeddings using OpenAI or other embedding models.
* Implement and manage vector databases (e.g., FAISS, Chroma, Pinecone, etc.).
* Optimize similarity search performance and retrieval strategies.
AI Architecture & Integration
* Develop AI-driven microservices using Python.
* Integrate AI Foundry or enterprise AI platforms into enterprise solutions.
* Ensure scalable, secure, and maintainable AI architectures.
* Implement monitoring, evaluation, and observability for AI models.
Engineering Best Practices
* Follow specification-driven development methodologies.
* Write clean, modular, and testable Python code.
* Conduct code reviews and maintain high engineering standards.
* Collaborate with cross-functional teams (Product, DevOps, Data).
Required Technical Skills (High-Level)
* Python (Advanced proficiency)
* LangChain
* LangGraph
* AI Agent Development
* Embeddings & Vector Databases
* OpenAI API Integration
* Large Language Models (LLMs)
* AI Foundry Platforms
* Prompt Engineering
* Specification Driven Development
* Retrieval-Augmented Generation (RAG)
Additional Preferred Skills
* Experience with FAISS / Chroma / Pinecone / Weaviate
* Experience building REST APIs (FastAPI / Flask)
* Understanding of Transformer architecture
* Experience with cloud platforms (Azure / AWS / GCP)
* Knowledge of CI/CD for AI systems
* Experience with evaluation frameworks for LLMs
* Exposure to fine-tuning or model optimization techniques
Soft Skills
* Strong analytical and problem-solving ability
* Ability to translate business requirements into AI solutions
* Excellent communication skills
* Self-driven and innovative mindset
* Ability to work in fast-paced environments
#J-18808-Ljbffr