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

• 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