Lead AI Engineer

Kobie Marketing; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Comprehensive health coverage

Flexible time off

Competitive benefits

Job summary

Kobie Marketing is seeking a Lead AI Engineer to join its India Tech Hub in Bengaluru. This exciting role focuses on implementing complex AI solutions, ensuring high-quality code, and mentoring junior engineers. The ideal candidate has over 6 years of experience in Python and LLM systems, alongside a hands-on approach to engineering challenges.

The position offers a competitive benefits package, a chance to shape a new tech hub, and the opportunity to work with top global brands in loyalty marketing.

Qualifications

• 6+ years of professional Python experience with deep production knowledge.
• Experience operating LLM systems in production.
• Knowledge of oversight mechanisms like human-in-the-loop routing.

Responsibilities

• Author implementation specs for the platform.
• Design and implement the human-in-the-loop routing system.
• Review PRs and mentor engineers.

Skills

Python

LLM systems

SQL

AWS

Git

Docker

LangChain/LangGraph

Observability tools

Education

Practical experience without a formal degree

Tools

Amazon CloudWatch

MLflow

OpenTelemetry

Job description

Overview

Join our India Tech Hub – Be among the first hires!

Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world’s most recognized brands while working alongside some of the best and brightest in loyalty.

About The Team And What We\'ll Build Together

Kobie runs some of the largest loyalty programs in the world. We\'re building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams an LLM-native way to work with complex loyalty logic.

We\'re looking for a hands-on Lead AI Engineer to ship the hardest implementation work on that platform. You\'ll author the per-feature implementation specs that turn architectural decisions into work the team and our code agents can build against. You\'ll also build the load-bearing pieces yourself — the human-in-the-loop routing primitive, the reversibility-tier execution wrapper, the guardrails that make agent actions safe to deploy — and review PRs at a depth that lifts the standard for what we ship.

Our team tends to be people who reason carefully, ship working code, and pick up new tools without a lot of hand-holding. We care less about the shape of your career than whether you\'ve built things that held up.

How We Think About AI

We\'re building agents for an industry — loyalty marketing — that runs on judgment. The analysts and strategists we serve know things that don\'t live in any database: which clients can hear which feedback, when a campaign is technically sound but commercially wrong, what a number means versus what it shows. Our agents make their judgment go further; they don\'t replace it.

That means we have strong views on where agents should and shouldn\'t act. As Lead, you turn those views into running code: which tools route to a human for approval, which run autonomously, what the refusal policies actually refuse. We\'re looking for someone with a considered view on cognitive offloading, the long-term effects of agent-mediated work on organizational capacity, and the discipline to build implementation safeguards that augment human judgment rather than supplant it.

How You Will Make An Impact

Spec Authoring & Hard Implementation

• Author per-feature implementation specs (problem framing, approach, module/file map, contracts touched, test plans) at a rigorous level code agents and engineers can build against without re-deriving design intent
• Ship the hardest implementation work yourself — the human-in-the-loop routing, the public/private gateway access controls, the early agent harnesses
• Bring strong design agency: name the implementation tradeoffs, surface gaps in upstream architectural specs, push back when an approach won\'t hold up in production

Oversight & Reliability

• Design and implement the human-in-the-loop routing system: queue mechanics, reviewer assignment, back-pressure handling, run resumption semantics
• Implement the execution wrapper that enforces human-in-the-loop policies at execution time
• Build the safeguards — refusal policies, prompt-injection protections, public/private MCP exposure controls — that make our agents safe to deploy at scale

Mentorship & Review

• Review PRs (human- and code-agent-authored) at a depth that builds shared judgment about what good agent code looks like
• Mentor engineers through hard implementation problems; close gaps in the team\'s shared knowledge
• Set the standard for what we ship — and what we refuse to ship

In Your First 90 Days

By the end of your first 90 days, you\'ll have authored at least two per-feature implementation specs, shipped one load-bearing piece of the platform end-to-end yourself (likely the HITL routing or the execution wrapper), and reviewed enough PRs to have a clear point of view on where our cloud-agent dispatch model is producing good code and where it isn\'t.

What You Need To Be Successful

• 6+ years of professional Python with deep production experience operating services, not just shipping them
• 2+ years operating LLM systems in production: prompt/context engineering, tool/function calling, structured outputs, RAG, evaluation, observability
• Demonstrated experience implementing oversight mechanisms — human-in-the-loop routing, refusal policies, autonomy boundaries — in systems where the cost of an agent error is real
• Strong written communication: you\'ll be authoring implementation specs that other engineers (and code agents) build against, and the spec is the work

• Extensive knowledge of LangChain/LangGraph — or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel — and a clear view of when to use which

• Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry

• Experience designing evaluation frameworks (RAGAS, DeepEval, LLM-as-judge, multi-turn regression)

• Solid SQL, fluency with at least one cloud platform (AWS preferred), Git, Docker, and modern API frameworks

• A hands-on disposition — you want to ship the hard parts yourself, not just write specs about them

• Experience reviewing code authored by junior engineers, contractors, or AI agents — and giving feedback that produces better code next time

• A considered view on the failure modes of overusing AI — cognitive offloading, organizational skill loss, agent-mediated drift in decision-making — and the conviction to design against them

A bachelor\'s degree is not required. Equivalent practical experience — including bootcamps, self-taught work, career changes, or non-CS technical degrees — counts.

Nice To Have

• Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, evaluations, optimizations
• Experience with Snowflake, Snowpark, or Snowflake Cortex
• Experience in loyalty, martech, adtech, or a comparable data-rich B2B domain

About Kobie

Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals ready to join a collaborative, growth-focused culture.

As a trusted partner to some of the world’s most recognized brands, we are loyalty leaders, helping brands build lasting emotional connections with their consumers. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. As we launch our India Tech Hub, we are excited to bring our award-winning culture to a new region - creating an environment where collaboration, flexibility, and career growth come together to build something truly special.

We are proud to be the only loyalty provider to be externally recognized for their culture. We believe people thrive when they feel valued, supported, and empowered to be their authentic selves. Our commitment to diversity, equity, and inclusion ensures every teammate has a voice and the opportunity to be heard.

Giving back is in our DNA at Kobie, through an annual fundraiser, charitable partnerships, and volunteer opportunities, we encourage our teammates to make a difference in their communities.

To support our teammates beyond just their careers, we offer highly competitive benefits, comprehensive health coverage, and well-being perks that support our teammates and their dependents. We understand the importance of time for life outside of work - recognizing public holidays, offering flexible time off, and prioritizing work-life balance.

As we expand into India, our new teammates will be fully integrated with our U.S. teams, working on global projects and gaining exposure to top industry leaders. With continued growth, we will establish a physical office in Bengaluru, India, giving teammates a space for collaboration and fostering connection.

Now is the perfect time to join Kobie. Be part of something big and help shape the future of our global capabilities center, the Kobie India Tech Hub.