Software Engineer (Applied ML)

Bravebird; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Bravebird is building agentic AI systems that operate reliably across chat, voice, and full computer-use interfaces. As an Applied ML engineer, you will help design reasoning, planning, grounding, memory, evaluation, and reliability components powering core systems for real-world use.

Join a hands-on, high-ownership role working directly with founders. You will shape technical direction, ship robust systems, and contribute to high-stakes outcomes in dynamic environments.

Qualifications

• 5+ years of software engineering experience.
• 2+ years building and shipping LLM or agentic systems in production.
• Experience with evals, memory, retrieval, and grounding architectures.
• Comfort operating in ambiguous, open-ended problem spaces.
• Strong bias toward building reliable, measurable, testable systems.
• Product intuition - you care about real users and real outcomes.
• Clear communication and strong collaboration skills.

Responsibilities

• Design and implement reasoning and planning systems for real production workflows.
• Build robust tool orchestration, grounding, and execution frameworks.
• Develop memory, context, and state management for long-horizon tasks.
• Create evaluation systems that measure correctness, reliability, and performance.
• Work across chat, voice, and UI-based agents to make them coordinated and dependable.
• Translate research ideas into production systems.
• Partner closely with founders and customers to iterate quickly and ship.
• Help define engineering culture, standards, and early technical direction.

Skills

Software engineering

LLM systems

Agentic systems

Production systems

Memory architectures

Evaluation systems

Collaboration

Communication

Job description

We're building agentic AI systems that can reason, act, and operate reliably in messy, real-world environments - across chat, voice, and full computer-use interfaces. As an Applied ML engineer, you'll help build the core intelligence powering these systems: reasoning, planning, grounding, memory, evaluation, and reliability. This is a deeply technical, high-ownership role. You'll work directly with founders, shape the technical direction, and ship systems that are used in real-world, high-stakes environments.

Responsibilities:

• Design and implement reasoning and planning systems for real production workflows.
• Build robust tool orchestration, grounding, and execution frameworks.
• Develop memory, context, and state management for long-horizon tasks.
• Create evaluation systems that measure correctness, reliability, and performance.
• Work across chat, voice, and UI-based agents to make them coordinated and dependable.
• Translate research ideas into production systems.
• Partner closely with founders and customers to iterate quickly and ship.
• Help define engineering culture, standards, and early technical direction.

Requirements:

• 5+ years of software engineering experience.
• 2+ years building and shipping LLM or agentic systems in production.
• Experience with evals, memory, retrieval, and grounding architectures.
• Comfort operating in ambiguous, open-ended problem spaces.
• Strong bias toward building reliable, measurable, testable systems.
• Product intuition - you care about real users and real outcomes.
• Clear communication and strong collaboration skills.

Bonus:

• Experience with fine-tuning or reinforcement learning.
• Experience building multimodal agents (voice, computer-use).
• Experience in healthcare or other regulated environments.