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Builds and deploys AI-powered applications using generative AI and machine learning: Python APIs (FastAPI/Flask), LLM integrations (OpenAI, Claude, Gemini), RAG and agent frameworks, plus vector databases, cloud deployment (AWS/Azure/GCP) and Docker.
Senior full-stack developer in Noida building and modernizing warehouse-management enterprise applications, moving legacy Vaadin/Jakarta EE systems to React and Spring Boot. Day to day: REST APIs and microservices with PostgreSQL and Android, cloud deployment on AWS/Azure, and CI/CD with DevSecOps practices.
Develops, tests, and deploys AI/ML and Generative AI applications in Python — building RAG pipelines and LLM-powered apps (OpenAI, Claude, Gemini) with LangChain/LlamaIndex, FastAPI/Flask APIs, vector databases, and deploying via cloud platforms and Docker.
Software engineer in Singapore building and maintaining Java-based business process management solutions across the full SDLC — design, coding, testing, deployment, and documentation — using Spring Boot, J2EE, SQL/Oracle, and REST/SOAP integrations, ideally with familiarity with the iBPS/OmniDocs product suite.
This is a remote position. Join discovery calls and client workshops alongside the business development team; qualify opportunities and identify where AllMates.ai fits. Prepare and deliver product demonstrations,…
Research Data Scientist in Noida who designs, builds, and deploys ML/LLM solutions — prompt engineering, fine-tuning, evaluation, RAG apps, and dataset-quality benchmarking — using Python, TensorFlow/PyTorch, cloud platforms, and SQL in a client-facing AI delivery environment.
Product Architect in Noida defining and maintaining the target architecture for enterprise products: driving API-first, cloud-native, microservices design, integration patterns, and security-by-design, while preparing platforms for Generative AI and agentic workflows. Requires 12+ years engineering, 5+ years architecture, and deep cloud/Kubernetes experience.
Full Stack Developer in Noida building frontend apps (React/Angular/Vue) plus backend services (Node.js/Python/Java). Day to day: internal engineering platforms, dashboards, admin portals and browser extensions, integrating with REST APIs, data pipelines and analytics, with cloud (AWS) and CI/CD work.
Security architect role in Noida defining enterprise-wide security architecture: driving secure SDLC practices (threat modeling, SAST/DAST, supply-chain security), secure cloud-native design on AWS/Azure, Kubernetes and network baselines, and compliance with frameworks like ISO 27001, SOC 2, and PCI-DSS, with preferred AI/LLM security exposure.
Full-stack data engineer on an enterprise BI and data platform: designs data ingestion/ETL pipelines, builds backend REST APIs, and integrates frontend dashboards. Core stack includes SQL, Python (and/or Java/Node.js), Docker, AWS, Terraform, and BI tools such as Superset.
Platform Engineer in Noida building and modernizing scalable enterprise workflow and orchestration platforms — designing reusable platform services, distributed backend components, and cloud-native systems. Core stack: Java/Python/Node.js backends with Docker, AWS, and CI/CD.
Product Manager in Noida owning the vision and roadmap for a Digital Ecosystem Platform — running market research, driving MVP/prototype development, managing the backlog with Agile/Scrum engineering teams, and designing an API-first, modular platform. Requires 6–10 years in product management and hands-on use of GenAI tools for ideation, UI/UX, and prototyping.
GenAI Engineer in Noida building RAG-based AI systems and AI-enabled enterprise apps: integrating OpenAI/Azure OpenAI APIs, securing endpoints with OAuth2, and wiring AI services into Spring Boot/ActiveMQ backends while optimizing token usage. Stack includes Python, FastAPI, LangChain, LlamaIndex, vector DBs, Docker/Kubernetes on AWS/Azure.
Builds and deploys AI-powered applications in Noida, working with LLMs (OpenAI, Azure OpenAI, Claude, Gemini), RAG systems, and AI frameworks like LangChain and LlamaIndex. Develops scalable APIs with FastAPI/Flask, trains and evaluates ML models, and integrates vector databases such as Pinecone, FAISS, Weaviate, and Chroma.
Full Stack Developer in Noida building secure, workflow-enabled enterprise applications with an automation-first approach: developing frontend and backend features, integrating REST APIs, working with PostgreSQL/MySQL, writing unit tests, and supporting CI/CD. Core stack: React with Spring Boot/Node.js.
Lead/Senior Business Analyst for a CLOS/MSME lending platform: gathers and documents business requirements (BRD, FSD, SRS, HLD, LLD), runs SIT/UAT, and coordinates with banks, NBFCs and technical teams on lending workflows, APIs and business rules. Office-based in Noida with frequent client travel.
Owns the functional vision and roadmap for a P&C (general) insurance policy administration system in Noida — covering product setup, rating/underwriting, policy lifecycle, claims, and billing. Translates business needs into functional specs, grooms the backlog, leads releases, and defines PAS integrations with KYC, payments, and data APIs.
Designs and deploys agentic generative AI solutions: LLM-powered RAG pipelines, multi-agent automation with LangGraph/LangChain, vector databases, and LLM governance. Also builds FastAPI/Flask services, ML models for NLP/vision, and MLOps (CI/CD, monitoring) on Azure.
Senior IT specialist who keeps a Blue Yonder Dispatcher WMS stable and reliable in production: building monitoring/alerting, resolving incident root causes, integrating the WMS with external systems via APIs, and standardizing rollouts across warehouse sites. Core stack: SQL/PL-SQL, Unix/Linux, shell scripting, and C#/Java/Python.
Senior QA Analyst in Noida who ensures product quality through manual testing (functional, regression, UAT) and test automation for web/mobile apps. Builds automation frameworks, runs API tests with Postman, tracks bugs in JIRA, and works closely with dev and product teams.
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