About the Company MetAntz is hiring for a customer, a rapidly scaling AI-first SaaS company revolutionizing revenue operations. Backed by top enterprise clients and driven by predictive AI, this platform delivers intelligent insights to improve decision-making across go-to-market teams and trusted by Fortune 500 leaders and fast-growing tech disruptors. Job Overview Join a high-energy engineering team to architect, build, and operate scalable infrastructure that powers mission-critical business processes for leading enterprise clients. You will be reporting directly to VP Engineering. You will be closely working with the founders, sales, product, and customer success. This role offers an opportunity to solve complex technical challenges and contribute to a rapidly growing product. You should be passionate about solving hard real-world enterprise problems by architecting, building and operating a highly scalable infrastructure. Key Responsibilities Work with back-end development and server- side engineering. Write effective, scalable, extensible, and testable code using Python, Django, and RESTful APIs to build new features that help customers run mission critical processes. Develop and optimize back-end components to enhance application responsiveness and performance. Design and implement efficient database queries for MongoDB and PostgreSQL. Identify and resolve bottlenecks in legacy code, proposing solutions to improve system performance. Implement robust security and data protection measures to safeguard sensitive information. Collaborate with internal teams (e.g., product, sales, and customer success) to understand user requirements and deliver technical solutions. Manage individual project priorities, deadlines, and deliverables to ensure timely execution. Contribute to refining the software development process and technology roadmap. Continuously enhance deployment processes for new features. What You Bring Bachelor`s degree in Computer Science, Engineering, or a related field (or equivalent experience). 5-14 years of hands-on experience in Python and Django Experience or familiarity with developing highly scalable applications. Proficiency in REST API development and working in Unix,Linux environments. Familiarity with cloud platforms (AWS, Azure, GCP) and SaaS application architectures Basic understanding of databases like MongoDB and PostgreSQL, with knowledge of optimized query design. Solid grasp of data structures and algorithms. Understanding of deployment processes for developed features. A proactive attitude toward learning new technologies, tools, and libraries. Excellent interpersonal, written, and verbal communication skills, with a professional demeanor. Experience of working with high growth SaaS product Startups Candidates with lesser notice period preferred for this urgent role Salary and Perks ₹4000000 - ₹7000000 per year. Others Remote Work India Timezone Show more Show less
Company Description MetAntz is dedicated to bridging the gap between talent and global opportunities. We empower students and professionals by connecting them to high-paying roles worldwide. About the Customer We are working on this role for a customer who are pushing the technology limits to solve complex problems using humans + agentic AI workflows. Company is founded by successful tech entreprenuers in Bay area and India. Brief Job Description You will build complete AI-powered applications—from frontend screens to backend services, agents, LangGraph pipelines, knowledge graph reasoning, and cloud deployment on AWS and Azure. Key Responsibilities Full-Stack Development (Mandatory) Build production-grade applications using FastAPI,Flask and React,Next.js. Create enterprise dashboards, workflows, secure login systems (RBAC), and multi-screen interfaces. Develop modular UI components for complex AI tasks (generated insights, workflows, exports, reviews). Agentic AI Integration (Mandatory) Work with multi-agent frameworks such as LangGraph, CrewAI, or custom orchestrators. Implement LLM tools, memory systems, evaluator agents, and deterministic workflows. Build RAG pipelines, embeddings, vector search, and tool-based agent orchestration. Knowledge Graph + Ontology Engineering (Mandatory) Hands-on experience required in at least two of the following: Graph databases Neo4j, Azure Cosmos DB (Gremlin), AWS Neptune Ontology design (OWL,JSON-LD), schema creation, triples, relationships Creating graph-based reasoning flows (GraphRAG, entity grounding, relationship inference) Integrating knowledge graphs with LLMs for retrieval + reasoning Designing semantic layers , metric definitions linked to graph schemas This is a mandatory capability, as all systems rely on ontology-driven reasoning. Backend Engineering & APIs (Mandatory) Build secure microservices and APIs in Python (FastAPI,Flask). Strong SQL (PostgreSQL,MySQL), indexing, query tuning. Implement PDF,document,Excel ingestion pipelines. Build async flows, background tasks (Celery,Redis,RabbitMQ). Cloud Engineering – AWS and/or Azure (At least One) You must be comfortable deploying and managing workloads on one/both platforms. AWS (Mandatory) EC2, ECS,EKS, Lambda API Gateway, S3, RDS, DynamoDB IAM, VPC, Secrets Manager CloudWatch, CloudFormation,Terraform preferred Azure (Mandatory) Azure App Service, Azure Functions Azure OpenAI Azure Blob Storage, Azure SQL,PostgreSQL Virtual Machines, VNet, Key Vault Azure Monitor, Workbooks, Pipelines DevOps (Optional) Docker, GitHub Actions CI,CD pipelines Secure secrets, environment strategy, logging & monitoring AI,ML & Data Engineering Skills Integrate OpenAI, Azure OpenAI, Amazon Bedrock LLMs. Use vector DBs Pinecone, Chroma, Qdrant, Weaviate. Familiarity with embeddings, token optimization, semantic caching. ETL skills for structured, unstructured data (PDF, tables, Excel, APIs). Required Skills (Mandatory) Strong Hands-On Python + FastAPI,Flask JavaScript,TypeScript + React,Next.js Agentic AI (LangGraph,CrewAI) Knowledge Graphs + Ontology Engineering Vector DB + RAG implementation AWS + Azure cloud deployments SQL (PostgreSQL preferred) Docker, CI,CD, GitHub Clean code, modular architecture, scalability Soft Skills Ownership mindset Strong analytical thinking Product-first approach Ability to learn quickly Collaboration & communication skills Passion for AI + problem solving Nice-to-Have (Bonus) Experience with pharma or food-tech datasets (TRx,NRx, FSSAI ingredients) Domain experience with clinical data or FDA PDFs Experience with cognitive science-based modeling GraphRAG, Knowledge Graph visualization, Ontologies like OBI,SNOMED Data visualization frameworks (Plotly, ECharts, D3.js) Working on high-scale SaaS enterprise applications What we offer? 1) Cutting edge work 2) Competitive compensation, ESOPs, Performance Bonus 3) Learning and collaborative environment