Senior AI Engineer

AI Accountant; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Upskilling Policy

Team Outings

Flexible Work-from-Home

Menstrual WFH

Mobility Benefits

Parental Support

Job summary

AI Accountant in Bengaluru seeks a Senior AI Engineer to lead AI initiatives across our product ecosystem, focusing on production-grade LLM applications, multi-agent workflows, and robust model lifecycle management. You will own AI models end-to-end, from design through deployment and monitoring, working with product and engineering teams to scale AI systems.

The ideal candidate combines deep expertise in modern AI/LLM technologies with strong software engineering fundamentals and a track record

Qualifications

• 7+ years of AI/ML-related experience.
• Experience shipping AI products into production at scale.
• End-to-end ownership from design to deployment and monitoring is required.

Responsibilities

• Own the complete lifecycle of AI models from experimentation to production deployment, monitoring, evaluation, and optimization.
• Design, build, and optimize LLM-powered applications and agent-based workflows; develop RAG pipelines.
• Design deterministic and semi-deterministic evaluation frameworks for LLMs and agent systems.

Skills

Python programming

LLM APIs & agents

Data analysis & SQL

MLOps & LLMOps

Tools

LangGraph

MCP

Job description

AI Accountant (AiA) is building anAI-native platform transforming accounting andbookkeepingworkflows. We simplify compliance, automate financial operations, and help businessesoperatewith clarity and confidence.

Backed by global investors likeY Combinator, we are scaling fast and building a team that combines speed, ownership, and sharp execution.

We’renot building a feature company.We’rebuilding a category.

Our Mission & Vision

Mission:Simplify and automate financial workflows using AI to empower modern businesses.

Vision:Become the most trusted AI-driven financial operating system globally.

Job Summary

We are looking for a highly skilled Senior AI Engineer to lead the development, evaluation, deployment, and continuous improvement of AI systems across our product ecosystem. This role will own AI models and new AI initiatives end-to-end, with a strong focus on production-grade LLM applications, multi-agent systems, automation workflows, and model lifecycle management.

The ideal candidate combines deepexpertisein modern AI/LLM technologies with strong software engineering fundamentals and experience scaling AI systems in production environments.

Experience

• 7+ years of experience in AI/ML, Machine Learning Engineering, Applied AI, or related roles.

• Proven experience building and shipping AI products into production at scale.

• Experience owning AI systems end-to-end, from design through deployment and monitoring.

Technical Skills

• Strong Python programming skills and solid software engineering fundamentals.

• Hands-on experience with LLM APIs, Agentic Systems,LangGraph, RAG, MCP, and LLM Evaluation frameworks.

• Experience designing deterministic and semi-deterministic testing frameworks for AI systems and workflows.

• Strong knowledge of traditional Machine Learning models, data analysis, debugging, SQL, APIs, JSON, and workflow observability.

• Experience withLLMOps/MLOpspractices, including model deployment, monitoring, evaluation, and lifecycle management.

Key Responsibilities

AI Model Ownership

• Own the complete lifecycle of AI models from experimentation to production deployment, monitoring, evaluation, and optimization.

• Improve existing AI systems by enhancing accuracy, reliability, latency, and scalability.

• Drive new AI initiatives from concept to production, collaborating closely with product, engineering, and business teams.

LLM & Agentic Systems Development

• Design, build, andoptimizeLLM-powered applications and agent-based workflows.Develop (RAG) pipelines and knowledge retrieval systems.

• Build robust orchestration frameworks usingLangGraphand related agent frameworks.

Evaluation & Quality Engineering

• Design deterministic and semi-deterministic evaluation frameworks for LLMs and agent systems.

• Build automated testing frameworks for prompts, workflows, agents, and model outputs.Analyze model failures and implement improvements through structured evaluation cycles.

MLOps/LLMOps

• Develop andmaintainscalableLLMOpsinfrastructure and workflows.Implement monitoring, observability, experimentation, versioning, and deployment processes.

• OptimizeAI systems for performance, reliability, and cost efficiency.

• Drive best practices around model governance, testing, and release management.

What Success Looks Like in this role

• AI models consistently meet defined quality, latency, and reliability benchmarks.

• New AI initiatives are delivered from concept to production with measurable business impact.

• Robust evaluation and testing frameworks are establishedacross AI systems.

• Production AI systems scale efficiently whilemaintainingperformance and cost effectiveness.

• Accounting and finance automation capabilities are significantly enhanced through AI innovation.

Our Way of Life — TheAiAValues

C – Collaborate to Win
We win together, not alone. We listen, challenge with care, and move as one team. Speed and success come from trust and cross-functional teamwork.

E – Elevate the Bar
“Good enough”isn’tgood enough atAiA. We push for world-class in everything we do. We learn fast, aim high, and turn feedback into fuel.

O – Own It End-to-End
We think like founders. We take full responsibility for outcomes—not just tasks. When things go wrong, we fix. No blame, no excuses—just impact.

Perks & Benefits

• Upskilling Policy-Access to tools, courses, and resources to stay ahead in content and AI workflows
• Team Outings- Offsites and outings to celebrate wins and build stronger bonds
• Flexible Work-from-Home-Up to 12 days remote every 6 months
• Menstrual WFH-Up to 3 days per month
• Mobility Benefits- Relocation and travel support
• Parental Support- Maternity, paternity, and adoption leave