Lead AI Software Engineer - Remote Opportunity

About the Role

We are seeking a Lead AI Software Engineer to join team.blue in a fully remote capacity. In this role, you will lead AI-driven software projects and unlock the potential of GenAI across our organization. You will guide a talented team in designing and implementing scalable AI systems, including APIs, RAG architectures, and agentic frameworks, while shaping the future of AI for small and medium-sized businesses (SMBs).

What You'll Do

• Lead and mentor a team of Applied AI Engineers, fostering growth, collaboration, and technical excellence.
• Design and implement scalable AI-powered software solutions, focusing on APIs, RAG architectures, and agentic frameworks.
• Build and deploy agentic AI systems using tools such as MCP servers and APIs.
• Integrate AI software solutions into existing environments and workflows, ensuring seamless operation and optimal performance.
• Test, monitor, and deploy software solutions that meet business needs.
• Participate in code reviews to ensure code quality and consistency.
• Drive AI adoption across the organization as a recognized technical expert and thought leader.

Requirements

• 5+ years of experience in software engineering, including 2+ years in a technical lead or management role.
• Strong proficiency in Python (e.g., FastAPI, Flask) and expertise in microservices and event-driven architectures (e.g., Kafka, SSE, WebSocket).
• Deep understanding of Large Language Models (LLMs), including fine-tuning, prompt engineering, and hands-on expertise with models such as GPT, Claude, and Gemini.
• Practical experience with vector databases (e.g., OpenSearch, FAISS) for similarity and semantic search.
• Proven ability to deploy and scale RAG systems and AI agents in a production environment.
• Skilled in implementing conversational AI systems using APIs such as OpenAI Chat Completion and Assistants.
• Strong problem-solving, communication, and documentation skills, with the ability to collaborate effectively across teams.

Nice to Have

• Experience building multi-hop RAG systems with self-consistency and chain-of-thought prompting.
• Knowledge of AIOps/MLOps best practices, including deploying and monitoring real-time inference models and ETL pipelines.
• Experience with distributed data tools (e.g., Spark, Dask, Apache Beam).
• Familiarity with cloud platform technologies (e.g., AWS, Azure, GCP).

What We Offer

• Competitive salary in the range of $120,000 to $150,000 per year.
• Fully remote work environment with flexible hours.
• Opportunity to work with cutting-edge AI technologies and tools.
• Supportive and inclusive company culture that values diversity.
• Professional development opportunities to enhance your skills.
• Access to a network of over 3,000 experts in the field.
• Commitment to sustainability and positive impact on the environment.