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
Required Technical Expertise
AI / ML Domains
Machine Learning, Deep Learning, Reinforcement Learning
Agentic AI systems and multi-agent orchestratio
Anomaly Detection, Recommender Systems
AI-assisted engineering (Claude Code, Cursor, Copilot-style workflows)
Prompt Engineering, Context Engineering, RAG
Frameworks & Libraries
Core ML / CV / NLP
TensorFlow, PyTorch, Keras, Scikit-learn
OpenCV
Pandas, NumPy
LLMs & Transformers
Hugging Face Transformers
GPT, BERT, T5, LLaMA
YOLO, GANs
Agent & LLM Orchestration
LangChain, LangGraph
CrewAI
LlamaIndex
DeepEval, LangSmith
Databases & Data Stores
- Vector Databases: FAISS, Pinecone, Weaviate, Milvus
- 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
Benefits
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
Global Work Environment
MacBook for All Employees
Chance to Visit Japan & Vietnam Offices on Business Trip
Job description provided by Money Forward.
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