Company Description Saakh is a reputation scoring platform for MSMEs selling goods on credit. It assigns a proprietary credit score to every MSME by measuring their payment habits & ratings from customers and suppliers. Saakh also serves as an accounting app, providing integrations for managing receivables, payables, and real-time accounting software integration for businesses. Role Description This is a full-time on-site role located in Ahmedabad for a Senior Video Editor. The Senior Video Editor will be responsible for video production, editing, color grading, motion graphics, and graphics. Qualifications Video Editing, Video Production, and Motion Graphics skills Video Color Grading and Graphic Design skills Experience with video editing software and tools Strong attention to detail and creativity Ability to work in a fast-paced environment and meet deadlines Excellent communication and teamwork skills Bachelor's degree in Film, Video Production, or related field Show more Show less
The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills. Responsibilities Build relationships with prospective clients Maintain consistent contact with existing clients Manage sales pipeline Analyze market and establish competitive advantages Track metrics to ensure targets are hit Qualifications Bachelor's degree 3+ years in sales industry Experience in full sales cycle including deal closing Demonstrated sales success Strong negotiation skills Strong communication and presentation skills CRM experience is preferred
(RAG & Agent Systems) — MERN + Python Experience Required: 2-3 years Location: Work from office: Ahmedabad Salary range – Upto Rs 100k per month. Positions: 01 About us: Saakh is an AI First B2B Fintech startup enabling SMEs with business intelligence. 1) Take data driven lending decisions 2) Automate payment collections 3) Prevent late payments 4) Delegate recoveries of stuck payments 5) Build Digital Reputation Identity of businesses About the Role We’re hiring an AI Engineer who can design, build, and ship production‑grade Retrieval‑Augmented Generation (RAG) systems and AI Agents end‑to‑end. You will work across the stack— Python for data/ML services and MERN (MongoDB, Express.js, React, Node.js) for the product surface—to deliver secure, observable, and scalable intelligent features. A key part of the role is building and operating MCP servers (Model Context Protocol) and tooling connectors that expose internal data and actions safely to agents. You’re hands‑on with vector databases, LLM orchestration, evaluation, and monitoring. You write clean APIs, ship thoughtful UIs, and automate deployment with CI/CD. What You’ll Do Design & implement RAG pipelines : ingestion/ETL, chunking & metadata, embeddings, hybrid search (keyword + vector), reranking, context caching, freshness & re‑indexing. Build multi‑step AI agents : tool‑use, function calling, planning/state machines (e.g., LangGraph/semantic‑kernel/AutoGen equivalents), error recovery, memory design. Develop MCP servers & connectors : define tools/schemas, auth, rate‑limits, multi‑tenant isolation, and logging to safely expose internal systems to agents. Own MERN product surfaces : React frontends (chat/task UIs), Node/Express APIs, WebSockets/Streaming for token‑level updates, and MongoDB persistence. Engineer Python microservices : retrieval, orchestration, evaluation, and batch jobs; package as containers; expose fast, typed APIs. Vector DB operations : design indexes, choose distance metrics/ANN algorithms (e.g., HNSW/IVF), tune recall/latency; manage Pinecone/Weaviate/Qdrant/Milvus/pgvector. LLMOps, evaluation & observability : establish offline/online evals (RAGAS/TruLens/DeepEval), guardrails, tracing (OpenTelemetry/Langfuse), metrics, and A/B tests. Security & governance : prompt‑injection defenses, PII redaction, data scoping/RBAC, audit logs, rate limiting, content filters, policy‑as‑code. Performance & cost : caching, batching, streaming, model selection, autoscaling, token/latency budgets, and cost attribution. Work cross‑functionally with Product, Data, and Infra to prioritize use cases and ship reliable, testable features on a predictable cadence. Required Qualifications 2–3 years software engineering (or equivalent depth), with production experience in both: Python (APIs, data/ML services, packaging, testing with Pytest) MERN : MongoDB, Express.js, React, Node.js (TypeScript preferred) RAG & Agents shipped to production: retrieval pipelines, embeddings, hybrid search, reranking, function/tool calling, and multi‑step workflows. Vector databases : one or more of Pinecone, Weaviate, Qdrant, Milvus, pgvector —schema design, index tuning, and ops. MCP servers : built/maintained Model Context Protocol servers or equivalent agent‑tool bridges; experience defining tools, auth, isolation, and telemetry. Cloud & DevOps : Docker, Kubernetes or serverless (Cloud Run/Lambda), CI/CD (GitHub Actions/GitLab), infrastructure as code (Terraform/Pulumi). Testing & quality : unit/integration tests, load testing, contract tests for tool/agent interfaces, data quality checks for corpora. Security mindset : data governance, secrets management, least privilege, dependency hygiene. Tech Stack You’ll Touch Backend: Python (FastAPI), Node.js/TypeScript (Express/Nest) Frontend: React (Vite/Next.js), WebSockets/Server‑Sent Events Data/RAG: MongoDB, Postgres, S3/GCS; vector DBs (Pinecone/Weaviate/Qdrant/Milvus/pgvector) Agents/Orchestration: LangChain/LangGraph, semantic‑kernel, custom state machines; MCP servers & tools Infra: Docker, Kubernetes/Cloud Run, Terraform, GitHub Actions; Redis for cache/queues Observability & Eval: OpenTelemetry, Langfuse, RAGAS/TruLens/DeepEval, Prometheus/Grafana Are you one of us? Mail your resume at ag@saakh.in Visit us: Website – Https://www.saakh.in