Bramkas Inc.

Develop and maintain enterprise AI applications using Python, React, MongoDB, and Generative AI technologies. | Requires 3+ years in Python, React, MongoDB, and 2+ years building production AI/LLM applications with strong communication and collaboration skills. | Python Full Stack developer ( ReactJS , MoongoDB ) • Location: US Remote / Hybrid • Job Type: Full-Time • Must-Have Skills : Python | React | MongoDB | Generative AI (GenAI) | LLM | RAG | Agentic AI | Vector Databases | MCP Job Summary We are seeking a Senior AI Full Stack Engineer with strong expertise in Python, React, MongoDB, and Generative AI to build enterprise-scale AI applications. The ideal candidate will have hands-on experience developing AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Agentic AI, and modern full-stack technologies. This role is ideal for engineers who enjoy building intelligent applications from document ingestion and semantic search to AI agents and real-time conversational experiences. Responsibilities • Design, develop, and maintain enterprise AI applications using Python, React, and MongoDB. • Build scalable Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models. • Develop end-to-end document processing pipelines, including document parsing, extraction, chunking, indexing, and semantic retrieval. • Integrate commercial and open-source Large Language Models (LLMs). • Build real-time AI applications using Streaming APIs and Server-Sent Events (SSE). • Implement document citation, source attribution, and grounded AI responses. • Design and develop Agentic AI solutions using multi-agent frameworks and Model Context Protocol (MCP). • Develop REST APIs and microservices supporting AI workflows. • Collaborate with architects, product owners, and engineering teams to deliver scalable AI solutions. • Participate in architecture reviews, code reviews, and Agile development activities. Required Skills • 3+ years of experience developing enterprise applications using Python, React, and MongoDB. • Strong hands-on experience with: • Generative AI (GenAI) • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, pgvector, or similar) • Embeddings and semantic search • Retrieval optimization • Experience building document parsing, OCR, extraction, indexing, and document ingestion pipelines. • Experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models). • Experience implementing Streaming APIs and Server-Sent Events (SSE). • Experience implementing document citation and reference generation. • Experience designing and developing Agentic AI solutions using multi-agent frameworks and MCP. • Strong experience with REST APIs, Microservices, Git, and Agile/Scrum. • Excellent debugging, analytical, and problem-solving skills. Preferred Skills • Experience with AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or LangChain. • Experience building AI workflow automation and agent orchestration. • Familiarity with Langfuse, Arize AI, or similar AI observability and evaluation platforms. • Experience with Docker, Kubernetes, and CI/CD. • Knowledge of Terraform, Infrastructure as Code (IaC), and DevOps. • Experience with AWS, Azure, or Google Cloud Platform. Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Minimum 5 years of software development experience. • Minimum 2 years of hands-on experience building production AI/LLM applications. • Strong communication, collaboration, and problem-solving skills. Why Join Us? • Work on cutting-edge Generative AI and Agentic AI projects. • Build enterprise-scale AI platforms using the latest technologies. • Collaborate with experienced architects, AI engineers, and product leaders. • Solve challenging real-world problems using modern AI and cloud technologies. • Competitive compensation with opportunities for long-term growth.

Design, develop, and maintain scalable microservices in Java for payment solutions, collaborate with teams, and support client interactions in an Agile environment. | 8+ years backend experience with strong Java, Spring Boot, microservices, cloud, CI/CD, NoSQL, and banking/payments domain expertise. | Senior / Lead : Java Developer • Role Type: F ull Time (Permanent Hire) • Location: Remote USA • Experience: 8+ years • Must have Skill : Core Java (8+), Spring Boot, RESTful APIs ,Microservices & Cloud (AWS / Azure / Google Cloud Platform) Gradle, Git, CI/CD , MongoDB / NoSQL databases We are looking for a Java : Senior Software Engineer / Lead Software Developer to join our team, working in the Banking and Financial Payments domain. This role is focused on building scalable, secure, and high-performing payment solutions for global financial clients. The ideal candidate will have strong Java, Micro-services expertise along with prior experience in payments or banking technology platforms . Key Responsibilities • Design, develop, and maintain scalable microservices using Java 8+, Spring Boot, and RESTful APIs. • Build and optimize integrations with financial payments systems and platforms. • Collaborate with business, product, and client teams to deliver new features in the payments domain. • Write clean, maintainable, and efficient code, following software design patterns and best practices. • Participate in code reviews, debugging, and performance optimization. • Work on cloud-native deployments (AWS / Azure / Google Cloud Platform). • Support daily client interactions (Agile POD setup, standups, design discussions). Must-Have Skills • Strong proficiency in Core Java (8+) OOP, Collections, Concurrency. • Spring Boot & RESTful API Development. • Proven experience with Microservices architecture. • Cloud platforms: AWS / Azure / Google Cloud Platform. • Gradle for build automation. • Git / Version Control and CI/CD pipelines. • Strong problem-solving & debugging skills. • Hands-on experience with MongoDB / NoSQL databases. • Solid understanding of banking or payments systems (transaction processing, settlement flows, etc.). Good-to-Have Skills • Experience with containerization (Docker, Kubernetes). • Familiarity with messaging/event streaming (Kafka, NATS, RabbitMQ). • Knowledge of monitoring & logging tools (Prometheus, Grafana). • Basic frontend exposure (JavaScript, npm) not mandatory. Ideal Candidate Profile • 8+ years in backend engineering, preferably in Banking / Payments domain. • Hands-on coder (90%) with ability to mentor junior developers. • Strong background in payment systems integration, settlement flows, or transaction processing. • Comfortable with Agile environments and daily client interactions. • Must have Skill : Core Java (8+), Spring Boot, RESTful APIs Microservices architecture & Cloud (AWS / Azure / Google Cloud Platform) Gradle, Git, CI/CD MongoDB / NoSQL databases Strong problem-solving & debugging skills Experience in Banking / Payments domain •