About Impact Analytics
Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and
drive profitability without manual intervention.
Here’s a link to our website:
www.impactanalytics.co.
The impact that you will be making
The role requires you to design and build next-generation Agentic AI systems that autonomously solve complex enterprise problems using LLMs, retrieval pipelines, and scalable data architectures to drive innovation and growth.
What lands you in this role
Minimum Must have -
● Expertise in Python application development.
● Strong experience with FastAPI for building scalable APIs.
● Hands-on experience with LangChain / LangGraph.
● Experience with Vector Databases.
● Strong understanding of OLAP databases and analytical systems
● Experience of managing teams of at least 2-3 members.
AI/LLM Engineering Fundamentals:
● Foundations of data retrievals (Cosine S, HNSW, IVF, KNN, ANN ).
● Embeddings and clustering (K-means, TF-IDF + BM25, Embedding Models, dimensionality trade-offs)
● RAG-Specific Algorithms & Patterns (Chunking, Cross-Encoder Reranking, GraphRAG)
● Agentic Flow Algorithms & Patterns (ReAct, Self-RAG, CRAG, State Machines)
● Fine-Tuning & Training Concepts (LoRA/QLoRA, RLHF, Contrastive Learning)
● Evaluation Algorithms (RAGAS, LLM-as-Judge, Trajectory Eval)
Good to have -
● Familiarity with LangSmith & LangGraph Studio.
● Experience with analytical and high-performance databases like Duckdb, ClickHouse & Google BigQuery
● Exposure to multi-agent orchestration frameworks like CrewAI
What we offer
● An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
● Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
● A flat, collegial work environment, with a work hard, play hard attitude.
● A platform for rapid growth if you are willing to try new things without fear of failure.
● Remuneration with best in class industry standards with generous health insurance cover.
Our accolades include:
● Ranked #72 in America’s Most innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc.
● Ranked as one of America' s fastest growing companies by Financial Times for four consecutive years: 2020-2023.
● Ranked as one of America' s fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023.
● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
● Featured as one of top 25 ML startups to watch by Forbes in 2019.
● Ranked as one of North Americas' fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020
