SFDC Lead

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, multi-tenant AI platform that enables organizations across industries—healthcare, clinical research, manufacturing, and textiles—to harness the power of intelligent automation and Generative AI. Our platform seamlessly integrates AI agents, RAG pipelines, and LLM-based workflows into a unified, scalable, and secure ecosystem hosted on Google Cloud Platform (GCP).

We are looking for a Full Stack Developer with deep experience in AI-integrated applications, cloud-native architecture, and end-to-end platform development—someone passionate about building intelligent systems that push the boundaries of innovation.

Key Responsibilities

1. Full Stack Development

• Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
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• Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
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• Optimize backend logic for scalability, modularity, and high availability on GCP.
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• Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

• Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
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• Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
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• Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

• Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
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• Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
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• Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.
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4. UI/UX Collaboration

• Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
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• Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
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• Work with designers to ensure front-end consistency across multi-tenant environments.
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5. Performance, Security & Monitoring

• Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
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• Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
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• Participate in architectural discussions to enhance system observability and security posture.
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Required Skills & Qualifications

Technical Proficiency

• Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
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• Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
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• Database: PostgreSQL, MongoDB, Firestore, Redis
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• Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
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• AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
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• DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
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• Version Control: Git, Bitbucket
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• UI/UX Collaboration: Figma, Material UI, responsive design principles
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Experience & Attributes

• 5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
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• Strong understanding of multi-tenant architectures and modular design principles.
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• Proven experience in CI/CD pipeline automation and infrastructure management.
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• Experience in integrating AI services, chatbots, or intelligent recommendation systems.
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• Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
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• Excellent communication skills and documentation habits.
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Preferred Qualifications

• Prior experience working with AI-driven SaaS or agentic AI platforms.
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• Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
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• Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
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• Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.
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Why Join IntraIntel.ai

• Work on cutting-edge AI agentic architectures with real-world enterprise impact.
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• Join a fast-growing, innovation-driven team shaping the future of AI platforms.
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• Build products at scale across diverse industries with a unified mission.
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• Collaborative and flexible environment encouraging ownership and creativity.
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Job Title: SDET Engineer

Experience Level: 5+ Years

Roles & Responsibility:

The QA Engineer will be responsible test plan development, execution, and results tracking as a member of a diverse, globally distributed team. The candidate will conduct in-depth application and workflow testing, as well as provide QA leadership and feedback to a diverse globally distributed team of Project Managers, Business Analysts, Software Developers, and other QA personnel.

· Collaborating with cross-functional agile team members to understand project requirements/user stories and translate them into comprehensive test plans and test cases.

· Designing, developing, and maintaining manual and automated test scripts, with focus on creating effective and reusable test scripts.

· Working closely with developers and product owners to identify, document, prioritize, and track software defects, and ensure timely resolution.

Requirement-

- Bachelor's degree in computer science, Engineering, or a related field.

- Proven 5+ Years experience in automation testing for web and backend applications.

- Must have experience with API testing tools - Rest Assured.

- Knowledge of automation testing frameworks.

- Experience with JAVA-Selenium

- Understanding of basic SQL queries to validate data in the databases

- Understanding of CI/CD processes and tools (e.g., Jenkins, GitLab CI).

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork abilities.

- Prior experience with trading applications or core financial services related applications is a big plus.

Job Type: Full-Time

Job Description:

• Should have basic experience on animation principles.
• Good understanding of aesthetics and animated canvas.
• Able to understand project requirement and handle projects independently.
• Create and Edit Videos for all projects and use motion for the created videos
• Strong learning capability.
• Having a good knowledge of Excel tools
• Framework experience would be beneficial.
• Should be comfortable to work with the team.
• Strong expertise in Motion Graphics, with a blend of creative visualization, modern design, and typography.
• Proficiency in handling DSLR cameras for internal photo/video shoots and enhancing footage with effects and elements to produce high-quality videos.
• Basic knowledge of UI design is a plus, as it may be required for certain UI-related tasks and team collaboration.
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Skills required:

• Demonstrated experience in a graphic and motion design position.
• A strong portfolio that highlights one's creativity and attention to detail.
• Excellent time-management and communication abilities.
• Knowledge of Figma, Adobe Premiere, Adobe Illustrator, Adobe Photoshop and Blender 3D is a plus.
• Basic Knowledge of Lottie - web animation will be considered an added advantage.

• Strong Fullstack Engineering Profile with SaaS Product Experience
• Mandatory (Experience 1) – Must have 4+ years of experience in building production-grade SaaS applications.
• Mandatory (Experience 2) – Must have 3+ years of hands-on backend development using Python (FastAPI/Django/Flask).
• Mandatory (Experience 3) – Must have 1+ years of frontend experience using React (with Hooks and TypeScript).
• Mandatory (Experience 4) - Must have experience with Relational Databases (like MySQL, PostgreSQL, Oracle etc)
• Mandatory (Experience 5) - Must have good experience in Micro Services or Distributed System frameworks(eg, Kafka, Google pub / Sub, AWS SNS, Azure Service Bus) or Message brokers(eg, RabbitMQ)
• Mandatory (Experience 6) – Hands-on experience with cloud services (EKS, Lambda, S3 IAM) along with Docker/Kubernetes containerization.
• Mandatory (Company) - B2B SaaS Product Companies

We are looking for an experienced AI Technical Architect who can design and lead end-to-end AI/ML solutions, define scalable architecture, and guide development teams in building intelligent applications aligned with business goals.

Key Responsibilities:

• Design AI/ML architecture and technical solutions.
• Lead AI strategy, model deployment, and integration.
• Build scalable AI pipelines and cloud-based solutions.
• Work closely with data scientists, developers, and stakeholders.
• Ensure best practices in MLOps, automation, and performance optimization.
• Evaluate new AI technologies and frameworks.

A leading software company is looking for Java candidates for Pune location.

Experience in Springboots, microservices and fintech domain

• NLP 

• ML programming
• Spark
• Model Deployment
• Experience processing unstructured data and building NLP models
• Experience with big data tools pyspark
• Pipeline orchestration using Airflow and model deployment experience is preferred

• Candidate Should have 5+ Years Of Experience in Core Java
• You will need strong development skills to work on and improve our Scala-based services, and be able to work together with senior teammates to create appropriate architectural design and ensure all aspects are appropriate to meet the business need.
• Excellent Functional Design and Functional Programming skills (more than 2 years of business experience in Scala and Java projects, respectively)
• Core skills in key supporting technologies and/or frameworks such as Play (AKKA) / Lagom
• Proven experience working in teams in the successful delivery of complex, performant and high quality products
• Excellent spoken and written communication skills
• Experience of SaaS (Software as a Service) environments
• Exposure to RESTful web APIs and a service oriented architecture
• Experience in Linux environments, Shell scripting etc
• Working with XML and JSON including parsing, asserting / matching and extracting
• Experience with Continuous Integration environments and build tools, including Terraform, Jenkins, Maven, Gradle and Ant
• Experience with messaging systems such as Apache Kafka, Amazon Kinesis, Amazon SQS and Rabbit MQ
• Experience working on Live platform SDKs such as Twilio, AWS Elemental