Senior AI Solution Engineer

We are looking for a Senior AI Engineer to design, build, and scale our next-generation AI and Large Language Model (LLM) applications. In this role, you will lead the technical development of advanced AI workflows, work directly with clients to turn their ideas into reality, and help mentor our growing team.

If you love Python, Natural Language Processing (NLP), and staying on the cutting edge of Generative AI, we want to hear from you!

Responsibilities

• Build End-to-End AI: Architect and implement scalable AI applications, including chatbots, search platforms, and autonomous agent workflows
• Consult with Clients: Collaborate directly with business stakeholders to understand their challenges and recommend smart, LLM-driven solutions
• Ensure Quality & Security: Create data pipelines, design smart prompt strategies, and build testing frameworks to ensure our AI models are safe, accurate, and cost-effective
• Lead & Mentor: Establish coding standards, perform code reviews, and mentor junior developers in AI best practices
• Prototype & Innovate: Run quick experiments, build prototypes to test new models, and stay ahead of the curve with emerging AI research and tools

Requirements

• Solid Experience: Proven background as a Senior Software Engineer delivering production-grade AI, Machine Learning, or LLM-based solutions
• Python & NLP Foundations: Strong proficiency in Python (especially web frameworks like FastAPI) and a solid grasp of NLP concepts (semantic similarity, tokenization, text classification)
• AI Architecture: Hands-on experience with modern AI patterns, particularly RAG (Retrieval-Augmented Generation) and AI Agents
• Modern LLM Stack: Familiarity with major LLM APIs (OpenAI, Anthropic, Bedrock) and framework tools (like LangGraph or LlamaIndex)
• Testing & Scaling: Experience deploying AI applications at scale, managing cloud costs, and evaluating model quality (using retrieval metrics or LLM-based evaluation)
• Rapid Prototyping: Ability to quickly spin up user interfaces using Streamlit, Gradio, or similar tools
• Great Communicator: Ability to explain complex technical ideas clearly to both developer teams and non-technical clients

Nice to have

• Development experience with TypeScript
• Experience incorporating AI into the SDLC (using tools like GitHub Copilot or Cursor to write, test, and review code)
• Cloud expertise with AWS or Azure (specifically Azure OpenAI or AWS Bedrock)
• Experience using Databricks (MLflow, AgentBricks, etc.) for data or model workflows
• Knowledge of advanced search/retrieval systems (vector databases, semantic search, rerankers)
• Familiarity with emerging open-source protocols (like Model Context Protocol - MCP) or LLM monitoring tools (like LangSmith or Arize Phoenix)