Tech Lead

HerculesAI

12h

About The Position

We're looking for a Tech Lead who is first and foremost a builder: someone who writes code, ships systems, and leads by doing. You'll set technical direction, own architecture, and be the main contributor across our stack while developing a high-performing engineering team. Product thinking is central to this role. You'll work closely with Product and stakeholders to deeply understand customer problems, translate ambiguous requirements into clear technical solutions, and ensure every engineering decision connects to real business impact. You won't just build what's asked. you'll challenge, validate, and shape what gets built. You'll also bring practical AI expertise: integrating LLMs into production systems, tuning behavior, optimizing inference pipelines, and ensuring AI capabilities deliver reliable, real-world outcomes.

Requirements

7+ years of professional software engineering experience with strong production ownership
Proven track record as a Tech Lead or senior engineer who drives both systems and teams
Strong product instinct with the ability to connect technical decisions to customer value
Full-stack capability with depth in Python and backend systems
Practical experience with AI/LLM-powered systems in production, or strong ability to ramp quickly
Excellent communication skills across technical and non-technical audiences
Experience coaching and developing engineers
Comfortable operating in fast-paced, ambiguous environments

Nice To Haves

Experience with architectural patterns such as DDD, CQRS, or event-driven design
Background in data-intensive or enterprise-scale systems
Familiarity with systems-level languages (Go, Rust) or modern frontend frameworks (React)

Responsibilities

Partner with Product and stakeholders to understand workflows, needs, and problem spaces
Translate ambiguous requirements into clear technical plans and system designs
Validate solutions through real usage and feedback loops, not just specs
Communicate progress, risks, and trade-offs clearly to technical and non-technical audiences
Ensure engineering work is always anchored to customer value and business outcomes
Design and evolve system architecture for scalable, reliable platforms
Contribute directly to core systems across the full stack: frontend, backend, and infrastructure
Own key technical decisions and guide architectural direction
Drive best practices across CI/CD, testing, observability, and release processes
Deliver outcomes end-to-end, from design through production
Build and integrate AI-powered capabilities into production systems
Tune model behavior, evaluate outputs, and iterate toward reliable results
Design and optimize inference pipelines with attention to latency, cost, and reliability
Apply LLM capabilities (tool-use, prompt design, evaluation) to solve real problems, not research
Lead and develop engineers through coaching, feedback, and growth support
Practice servant leadership: remove blockers, enable success, set the standard through your own work
Build a culture of ownership, accountability, and continuous improvement