AI Engineer II

Nablon; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Health insurance

Stock options

Parental leave

Professional development budget

Remote-first culture

Job summary

Nablon AI in Bengaluru, Karnataka, seeks an AI Engineer II to own the technical architecture of a client engagement, setting reliability and verification strategy for agentic AI systems. You will lead a small team and coordinate with founders to guide delivery.

The role emphasizes mentoring engineers, shaping how Nablon delivers its services, and ensuring high-stakes projects run with 99.99% reliability in critical workflows.

Qualifications

• 4–6 years of software engineering experience with production systems.
• Hands-on work building agentic or ML systems with LLMs and orchestration.
• Experience owning technical direction on ambiguous, high-stakes projects.
• Ability to design verification and eval strategies for high reliability.
• Credible senior stakeholder management for client engineering leadership.
• Experience mentoring engineers and setting technical standards.

Responsibilities

• Own Engagement Architecture: set end-to-end technical architecture for the client's agentic system.
• Define the Reliability Strategy to reach 99.99% reliability in production.
• Lead the Client Relationship as the technical face to senior leadership.
• Grow the Team by mentoring L1 and L2 engineers and setting standards.
• Shape delivery: collaborate with founders on technical and delivery decisions.

Skills

Agentic AI

Client mgmt

Mentoring

Azure

AWS

Databricks

LLMs orchestration

MLOps

Reliability engineering

Software architecture

Stakeholder mgmt

Tools

Azure

AWS

Databricks

Job description

Bangalore , Karnataka hybrid Full Time 4–6 yrs exp

Skills

AI ML agentic systems architecture client management mentoring Azure AWS Databricks reliability evaluation verification LLMs orchestration reinforcement learning stakeholder management MLOps software engineering

About the role

Nablon builds production-grade agentic AI for the world's most ambitious enterprises — Fortune 500 leaders across CPG, Banking, MedTech, and Industrial. As an AI Engineer II, you will own the technical architecture of an entire client engagement, setting the direction and defining the reliability and verification strategy. You will tackle the hardest, most ambiguous problems and lead a small team to deliver systems that run at 99.99% reliability within critical workflows.

Your role will involve serving as the technical face to client leadership, making crucial decisions, and mentoring junior engineers. You will work closely with founders on high-stakes technical and delivery decisions, shaping how Nablon delivers its services.

What you'll do

• Own Engagement Architecture: Set the end-to-end technical architecture for the client's agentic system.
• Define the Reliability Strategy: Own the eval, verification, and decision-trace strategy that gets the system to 99.99% reliability.
• Lead the Client Relationship: Serve as the technical face to senior client leadership and manage expectations.
• Grow the Team: Mentor L1 and L2 engineers and set technical standards.
• Shape How Nablon Delivers: Collaborate with founders on technical and delivery decisions.

Requirements

• 4–6 years of software engineering experience, including systems you architected and took to production at scale.
• Deep, hands-on experience building agentic or ML systems with LLMs — orchestration, evals, reinforcement learning, and reliability.
• A track record of owning technical direction on ambiguous, high-stakes projects end to end.
• Proven ability to design verification and eval strategies that hold non-deterministic systems to a high reliability bar.
• Credible senior stakeholder management — able to hold technical conversations with client engineering leadership.
• Experience mentoring engineers and setting technical standards for a team.
• Delivery experience in regulated, high-stakes enterprise domains — banking, MedTech, CPG, or industrial (preferred).
• A consulting, forward-deployed, or solutions-architecture background alongside strong engineering (preferred).
• Depth in in-environment deployment (Azure, AWS, Databricks), observability, and MLOps for agentic systems (preferred).
• Public work — patents, talks, open source, or writing that shows technical leadership (preferred).
• Comprehensive health insurance covering team members and immediate family.
• Annual budget for courses, certifications, conferences, and books.
• Employee Stock Ownership Plan participation with a standard 4-year vesting schedule.
• Flexible hours and remote-first work culture.
• Generous parental leave policies.
• 1 paid menstrual leave day per month for women and persons who menstruate.
• Psychological safety and a culture of feedback.
• Commitment to diversity, equity, and inclusion.