Artificial Intelligence Engineer

About the Role

Were building the next generation of intelligent, autonomous AI systems and are seeking 23 experiencedAI Engineers to join our product development team. You will play a key role indesigning, building, and deploying AI agents andAI assistants that leverageLarge Language Models (LLMs) ,Retrieval-Augmented Generation (RAG) , and scalable backend systems usingPython

If you love building things from scratch, experimenting fast, and scaling what works this role is for you.

Key Responsibilities

• Design, develop, and deploy AI agents powered by cutting-edge LLMs (OpenAI, Anthropic, Mistral,Llama, etc.)
• Building end-to-endretrieval-augmented generation (RAG) pipelines from ingestion, chunking, embeddings, and hybrid vector search, ideally using OpenSearch or other leading technologies.
• Develop scalable Python microservices and APIs that support AI agent operations and LLM orchestration.
• Own data ingestion and storage workflows manage relational (PostgreSQL) and vector data for efficient retrieval and context management
• Optimize agent reasoning and memory , improving accuracy, contextual continuity, and tool integrations
• Collaborate cross-functionally with PMs, and designers to define and deliver AI-driven product features end-to-end
• Implement monitoring, evaluation, and testing frameworks to measure model quality, latency, and reliability.
• Stay ahead of the curve on emerging frameworks and new model capabilities.

Required Skills

• Bachelors or masters degree in computer science, Artificial Intelligence, or related field.
• Strong hands-on experience building and deployingLLM-powered applications
• Proven experience withAI agents, AI assistants, or conversational systems
• Solid understanding ofRetrieval-Augmented Generation (RAG) architectures and search pipelines.
• Strong proficiency inPython (FastAPI, Flask, or Django preferred)
• Experience withvector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, pgvector, etc.)
• Proficient inPostgreSQL and relational schema design
• Familiar withAI agent and LLM orchestration frameworks (LangChain, LlamaIndex, Autogen, CrewAI, etc.)
• Experience deploying AI systems to production (cloud, APIs, monitoring, scaling)
• Familiar withDocker, Git, and CI/CD workflows
• Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud
• Excellent problem-solving skills and analytical thinking.
• Strong communication skills to collaborate with cross-functional teams.
• Startup-oriented execution mindset , including:
• Strongcustomer focus and ability to translate user needs into AI-driven solutions
• High level ofownership across the full product lifecycle, from design to deployment
• Ability toiterate quickly , experiment, and adapt in fast-moving environments
• Bias for action with comfort making decisions under uncertainty.

Nice to Have

Experience with agent frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI)

Familiarity with embedding models, re-ranking, and search relevance tuning

Experience building internal or customer-facingenterprise search orknowledge assistant products