AI Engineer – Innovation & Productivity (Chennai / Pune)

Money Forward India; Chennai District; On-site; INR 6,000,000 - 9,000,000; Full time

Benefits offered by this job

Startup culture

Flexible hours/hybrid

Leaves: casual/earned/sick

Maternity leave

Casual dress code

Health insurance

Performance reviews

Bonus

MacBook provided

Business travel

Job summary

Money Forward India seeks an experienced AI Engineer to drive innovation and production‑ready AI features across our HR SaaS products. You will own the AI SDLC, define use cases and success metrics, design context strategies, and guide engineers to productionize AI behavior.

The role blends deep technical leadership with cross‑functional collaboration across global teams. We value a strong product mindset, mentorship of senior engineers, and the ability to scale AI systems from idea to

Qualifications

• Experience leading AI initiatives in SaaS or enterprise platforms.
• Strong product mindset balancing UX, reliability, and cost.
• Proven ability to mentor senior engineers and AI practitioners.

Responsibilities

• Own the AI SDLC for Product Features
• Strategic Definition: Define use cases, scope, success metrics, and release gates.
• Context Engineering: Design context strategy (structured inputs, retrieval/RAG, redaction).
• Architecture & Logic: Build prompt and agent designs with clear tool usage, boundaries, and fallbacks.
• Quality Assurance: Create evaluation plans (golden sets, rubrics, automated regression tests).
• Lifecycle Management: Support rollout, monitoring, and continuous improvement.
• Build AI Features Across Multiple HR SaaS Products
• Integration: AI into onboarding, employee comms, policy Q&A, document generation, support workflows.
• Scalability: Maintain reusable prompt/agent patterns across teams and products.
• Prototype Independently and Deliver Production-Ready Specs
• Feasibility: Build POCs and thin vertical slices to prove feasibility and user value
• Documentation: Convert POCs into production specs: interfaces, constraints, failure modes, acceptance criteria.
• Guide Engineers to Productionize AI Behavior
• Implementation: Translate product intent into implementable AI specs and review implementations.
• Optimization: Debug model behavior, tool failures, edge cases.
• Best Practices: Drive prompt versioning, eval harnesses, monitoring.
• Use and Extend Money Forward’s In-house AI Platform
• Development: Build with internal models, orchestration frameworks, shared components.
• Platform Growth: Propose improvements for prompt management, eval tooling, logging, guardrails.

Skills

Agentic AI systems

Multi-agent orchestration

Anomaly detection

Recommender systems

LLMs & transformers

NLP embeddings

Tools

LangChain

LangGraph

CrewAI

LangSmith

PostgreSQL

MySQL

Neo4j

OpenCV

Job description

AI Engineer – Innovation & Productivity (Chennai / Pune)

Experience: 12+ years in AI/ML leadership, 10+ years overall in tech

Money Forward India is looking for a visionary and hands-on **AI Engineer** to drive innovation, productivity, and strategic alignment across global engineering, product, and stakeholder teams. This role blends deep technical expertise with cross-functional leadership to accelerate feature development, promote AI adoption, and shape the future of intelligent systems within our organization.Responsibilities

The successful candidate will be responsible for, but not limited to, the following key tasks:

• Own the AI SDLC for Product Features
• Strategic Definition: Define use cases, scope, success metrics, and release gates.
• Context Engineering: Design context strategy (structured inputs, retrieval/RAG, redaction).
• Architecture & Logic: Build prompt and agent designs with clear tool usage, boundaries, and fallbacks.
• Quality Assurance: Create evaluation plans (golden sets, rubrics, automated regression tests).
• Lifecycle Management: Support rollout, monitoring, and continuous improvement.
• Build AI Features Across Multiple HR SaaS Products
• Integration: Incorporate AI into core user journeys (onboarding, employee comms, policy Q&A, document generation, support workflows).
• Scalability: Maintain reusable prompt/agent patterns across teams and products.
• Prototype Independently and Deliver Production-Ready Specs
• Feasibility: Build POCs and thin vertical slices to prove feasibility and user value
• Documentation: Convert POCs into production specs: interfaces, constraints, failure modes, and acceptance criteria.
• Guide Engineers to Productionize AI Behavior
• Implementation: Translate product intent into implementable AI specs and review implementations.
• Optimization: Help debug model behavior, tool failures, and edge cases.
• Best Practices: Drive adoption of prompt versioning, eval harnesses, and monitoring.
• Use and Extend Money Forward’s In-house AI Platform
• Development: Build with internal models, orchestration frameworks, and shared components.
• Platform Growth: Propose improvements for prompt management, eval tooling, logging, and guardrails.
  

Requirements

Qualifications

Required Technical Expertise

AI / ML Domains

• Agentic AI systems and multi-agent orchestratio
• Anomaly Detection, Recommender Systems

Frameworks & Libraries

• Core ML / CV / NLP
• OpenCV
• LLMs & Transformers
• Hugging Face Transformers
• GPT, BERT, T5, LLaMA
• YOLO, GANs
• Agent & LLM Orchestration
• LangChain, LangGraph
• CrewAI
• DeepEval, LangSmith
• Relational Databases: PostgreSQL, MySQL
• Graph Databases: Neo4j

NLP & Language Technologies

• NLP fundamentals, Word2Vec, embeddings
• NLTK, SpaCy
• Text classification, summarization, NER, semantic search

IBM Watson Suite

• Watson Discovery
• Watsonx.ai
• Watsonx.orchestrate
• Watsonx.data
• Watsonx.gov

AI/LLM SDLC, Deployment & Operations

• Model selection, fine-tuning, and prompt iteration
• CI/CD for AI systems
• Model and prompt versioning
• Online and offline evaluation pipelines
• Observability (logs, traces, metrics)
• Cost optimization and token management
• Governance, security, and compliance

Preferred Experience

• Experience leading AI initiatives in SaaS or enterprise platforms
• Strong product mindset with ability to balance UX, reliability, and cost
• Experience mentoring senior engineers and AI practitioners
• Proven track record of taking AI systems from idea → production → scale
  

Why Join Us?

At Money Forward India, you'll be part of a dynamic, growth-oriented environment where innovation thrives. Our culture fosters collaboration, creativity, and professional development. Join us to be at the forefront of SaaS technology, with the security of an established corporate and the agility of a startup.

• Startup-like Work Environment & Culture
  
• Flexible Work Hours & Hybrid Work Policy (WFH 2 days a week)
  
• Leaves: Casual, Earned, and Sick leaves
  
• Up to 6 months of Maternity Leave
  
• Casual Dress Code (Shorts, Slippers, Sandals: All OK!)
  
• Corporate Health Insurance (Covering spouse, kids, and parents)
  
• Performance Review Twice a Year (Salary can be increased twice)
  
• Performance-Based Bonus
  
• MacBook for All Employees
  
• Chance to Visit Japan & Vietnam Offices on Business Trip