Padmi
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healthcare technology consulting · insurance transformation

Technical Lead AI Accelerated Software Engineering

United States · HybridPosted 3 months ago
Software engineeringStaff+Full Time
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About the role

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Experience

6+ years of experience in software engineering designing and developing enterprise applications, data/analytics solutions, and/or integration solutions

1+ years of providing technical leadership as Tech Lead, Lead Engineer, or Architect

1+ years in AI-augmented software development of enterprise solutions

Education

Bachelor's Degree in Computer Science, Software Development, Software Engineering, or Computer Engineering

(Optional) Master's Degree or Minor in AI/Machine Learning

Software Engineering Skills

Programming (e.g., Python, Java, C#, JavaScript)

Data (e.g., Relational Modeling, SQL, Document Databases, Graph Databases)

Integration & Messaging: REST/GraphQL APIs, event-driven architectures, and messaging platforms (e.g., Kafka, RabbitMQ, Azure Service Bus)

Containerization (e.g., Docker, Kubernetes)

Cloud Platforms (e.g., AWS, Azure)

AI Engineering Skills

AI-Augmented Development: Using AI coding assistants to accelerate software development (e.g., GitHub Copilot, Claude Code, OpenAI Codex, Cursor)

LLM Prompt Engineering & Fine-Tuning: Designing effective prompts, system instructions, and fine-tuning strategies for LLM applications within the context of the software development life-cycle.

What We're Looking For

  • You move fluidly between writing code and leading a room, equally comfortable in a design review as you are in a pull request

  • You have strong opinions about architecture and aren't afraid to share them, but you know when to listen and adapt

  • You take ownership seriously, on small teams, your decisions have real impact and you're energized by that, not intimidated

  • You're genuinely curious about AI, not just checking a box, you've experimented with agentic systems, LLMs, or ML tools on your own terms

  • You communicate clearly with both engineers and non-technical stakeholders, and can translate complexity without dumbing it down

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