Mid-level AI Engineer

About This Role

Join our team as a Mid-level AI Engineer to drive the next generation of GenAI-powered applications. You will architect robust solutions, collaborating with engineers, product managers, and designers to transform cutting-edge research into real-world impact.

Responsibilities

• Build GenAI applications such as question-answering systems, content generation tools, and extraction pipelines
• Design, implement, and optimize RAG pipelines end-to-end: ingestion, chunking, embedding, prompt templating, evaluation, and deployment
• Develop robust APIs using Python frameworks (FastAPI preferred)
• Work with multiple LLMs (OpenAI, Mistral, Anthropic, etc.) and evaluate model performance for different use cases
• Use LangChain, LangGraph, or LangSmith to orchestrate and monitor GenAI workflows
• Deploy applications on AWS or Azure and implement CI/CD for continuous improvement
• Collaborate with data engineers and product managers to translate technical designs into scalable solutions
• Participate in system design discussions, contributing ideas for performance and maintainability

Requirements

• Strong Python experience, able to design clean, modular, production-grade code
• Proven experience building and maintaining APIs (FastAPI/Flask)
• Experience with GenAI Stack: LangChain, LangGraph, LangSmith; multiple LLM APIs (OpenAI, Mistral, etc.)
• RAG Lifecycle: Data ingestion, prompt templating (Jinja), evaluation/re-ranking, deployment
• Hands-on with Cloud/DevOps: AWS or Azure (deployments, monitoring)

Qualifications

• 2-4 Years of Relevant Experience

Nice to Have

• Understanding of distributed systems and scaling strategies
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with Guardrails AI or Responsible AI frameworks
• Basic UI integration knowledge (React, optional)

Skills

* Required skills