[Hiring] Senior AI Engineer @Intellectsoft

Role Description

You will be instrumental in building an enterprise-grade Agentic Framework designed to automate complex production lifecycles in heavy industries like aerospace and manufacturing. This role is for engineers who thrive in "high-unknown" environments and can move from architecture design to production-grade implementation with minimal oversight. We value candidates who leverage heavy AI code assistance to accelerate delivery without sacrificing quality.

Qualifications

• Technical Excellence:
  • Python Mastery: Expert-level Python with experience in FastAPI or Django.
  • Agentic Frameworks: Proven experience with LangGraph and LangChain for building complex LLM pipelines.
  • Production-Grade Engineering: Deep understanding of TDD, linters, and ensuring high test coverage within CI/CD processes.
  • Data Proficiency: Experience in data processing using tools like Pandas, Polars, or PySpark.
  • API Development: Ability to build scalable backends for real-time interactions, including WebSockets.
• Soft Skills & Mindset:
  • Extreme Ownership: Ability to take a project from business requirements through to implementation with minimal oversight.
  • Analytical Decision-Making: Ability to justify architectural choices (e.g., Vector DB vs. Corporate Standard) using data-driven Proof of Concepts.
  • High Velocity: Comfortable working in a small, fast-paced team where rapid delivery is essential.
  • Defined Execution: Strong commitment to establishing a clear "Definition of Done" for every task.
• Nice to have skills:
  • Familiarity with .NET to align with existing corporate standards and facilitate cross-team integration.
  • Cloud-Native AI Guardrails: Experience with Azure Content Safety or AWS Bedrock Guardrails to manage model compliance.
  • Advanced Monitoring: Experience with Arize Phoenix or similar tools for debugging agent behavior and tool-calling efficiency.
  • LLM Fine-Tuning/Prompting: Knowledge of few-shot learning and structured prompting using XML, JSON, or Markdown.
  • Enterprise Databases: Familiarity with Azure Cosmos DB, MongoDB, or MSSQL.

Responsibilities

• Core Platform Development: Responsible for the development of the core agent platform components.
• Architecture Transition: Lead the transition from a JavaScript prototype to a segregated Python application with dedicated Management APIs and Agent Execution Backends.
• Agent Orchestration: Build and manage complex agent workflows using LangChain and LangGraph to handle multi-step interactions and tool calls.
• No-Code & Pro-Code Tooling: Develop a platform that allows administrators to build agents via a "no-code" approach while enabling advanced users to execute custom code scripts.
• RAG & Search Optimization: Implement advanced retrieval strategies, including hybrid search and rerankers, while justifying database choices through proof-of-concept metrics.
• Guardrails & Compliance: Ensure AI safety by implementing logits masking, context managers, and content guardrails to prevent harmful or off-brand generation.

Benefits

• Udemy courses of your choice.
• Team-buildings, events, marathons & charity activities to connect and recharge.
• Workshops, trainings, expert knowledge-sharing that keep you growing.
• Clear career path.
• Absence days for work-life balance.
• Flexible hours & work setup - work from any of listed locations and organize your day your way.