SAP HR ABAP CONSULTANT

Principal Enterprise GenAI / Agentic AI Architect - (Freelance) 

Positions: 1

Experience: Ideally 10–16 years overall, with significant recent hands-on GenAI/LLM architecture experience.

Mission

Own the end-to-end architecture across RAG, Agentic AI, enterprise integrations, model serving, security, evaluation, observability and production deployment.

This should not be a PowerPoint-only architect. We need someone technically deep enough to review code, challenge engineering decisions, troubleshoot RAG/agent behaviour and interact credibly with customer architecture/security/platform teams.

Mandatory capabilities

• Enterprise GenAI architecture
• Production RAG
• Agentic AI architecture
• Python
• LangGraph or comparable stateful orchestration
• Tool/function calling
• Human-in-the-loop workflows
• Vector databases
• Embeddings/reranking
• LLM/RAG/agent evaluation
• REST APIs/microservices
• Enterprise IAM
• RBAC/ABAC
• AI security and prompt-injection mitigation
• Kubernetes
• CI/CD and LLMOps/MLOps
• Enterprise observability

Highly desirable

OpenShift/OpenShift AI, NVIDIA NIM, KServe, NVIDIA GPU Operator, open-weight LLM deployment, ServiceNow, Splunk, Microsoft Graph and previous banking/financial-services experience.

Looking for a Senior Digital Marketing Manager to be responsible for marketing strategy for the organization and to drive initiatives to improve SEO, performance ads and brand presence. Our ideal candidate is a blend of analytical and creative, passionate about driving metrics while also being very sensitive to brand and user experience, and distinctive at operating in highly collaborative and cross-functional settings. This role partners closely with our design, engineering, analytics, and broader marketing teams.

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• Use data, cross-functional input, and best practices to build a plan for how to optimize the organization digital marketing efforts.
• Develop and maintain marketing performance dashboards. Create and manage implementation of analytics tracking requirements for SEO, performance ads, emailers and any other marketing initiative in the company. Draw insights using the data to enhance marketing performance.
• Work with marketing, engineering, and design to deliver data driven results on A/B tests, SEO, Google Ads, Linkedin Ads, email sequences and customer lifecycle marketing from lead generation to deal closure.
• Work with content creators to ensure content is distributed effectively, generates leads, and improves SEO objectives.
• Manage all ppc campaigns to drive lead generation with right metrics.
• Growth hacks and technical expertise in marketing with various tools like Google analytics, Hubspot, SEO tools, Adwords, Heatmaps etc would be required.
  
  

• Data-driven. You get deep into data to generate hypotheses, run experiments, and scale successful findings.
• Creative. You partner well with design and are excited about building novel things.
• Passionate about customers. You have deep empathy for users and are able to adapt how you communicate to best reach and engage your audience. You have excellent verbal and written communication skills.
• Organized. You are able to manage highly interdependent, complex projects and keep various work streams on track.
• Ambitious. You are eager to make an impact at orzanization. You thrive in a fast-moving, dynamic, hyper-growth environment and are able to operate fluidly between the 30,000-foot strategy level and the micro-detail to get things right.
• A team player. You are able to work with a range of disciplines to execute on your work and thrive seeing different points of view on an issue.

• 5-7 years of relevant work experience in digital marketing, growth marketing and analytics.
• Candidates from SaaS, top institutes like IIM/IIT/NIT/SpJain/NITIE/FMS will be preferred.
• Key skills required:  Content marketing, On page and off page SEO, data driven, good knowledge of SEO tools and  marketing analytics.

Challenging opportunity, tough problems and a very good growth path. An excellent opportunity to work with a team of highly talented young professionals. We also offer a whole load of benefits to make your stay enjoyable with the organization.

A SaaS commerce company helping organizations enhance employee engagement by offering products in the area of employee engagement via Empuls, sales & channel incentive management via Compass, and loyalty & rewards management via Plum. We welcome you to explore the website to learn more about us.

If you find this role exciting and want to join us at Bangalore, India, then apply by clicking below. Provide your details and upload your resume. All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.

About The Role

Location: Remote / Hybrid (India Preferred)

Experience: 03–10 years of relevant experience

Reports to: CEO/Co-founder

Type: Full-Time

Tech Stack: Python, Frappe, LangChain, Neo4j, FAISS, React.js, AWS/GCP/Azure

What You’ll Do

● AI/ML Development

○ Build AI-powered student learning insights using Graph Databases (Neo4j), FAISS,

Sentence Transformers, and OpenCV (ResNet-50).

○ Develop Retrieval-Augmented Generation (RAG) and reinforcement learning models to

personalize content and assessment.

○ Research and implement multi-modal generation (text, image, voice) for highly

personalized learning interactions.

○ Fine-tune and optimize transformer-based models (e.g., GPT, BERT) to deliver contextual,

culturally relevant learning experiences.

● Backend & API Development

○ Architect and build scalable backend using Frappe, FastAPI, or Django.

○ Develop REST and GraphQL APIs to connect PAL with TAP’s LMS, Glific, and content

repositories.

○ Integrate Redis and Celery to manage background inference processes.

○ Connect with Glific APIs to power our AI-driven WhatsApp learning chatbot.

● Frontend & User Experience (Optional)

○ Develop a React.js-based student dashboard for real-time learning insights and content

delivery.

○ Collaborate closely with our UX team to ensure intuitive and accessible design.

● Cloud & Deployment (DevOps)

○ Deploy and scale models across cloud platforms: AWS, GCP, or Azure.

○ Implement CI/CD pipelines (Jenkins, Cypress.io) to ensure continuous delivery and testing.

○ Use Docker and Kubernetes for managing containerized deployments.

● AI-Driven Security & Automation

○ Ensure data privacy and compliance by embedding AI-powered security checks.

○ Automate personalized content delivery through NLP chatbots and AI workflows.

Who You Are

● You’ve worked on AI/ML systems at scale, especially in EdTech, SaaS, or social impact settings

● You’ve built or fine-tuned models with GPT/BERT, FAISS, LangChain, or custom embeddings

● You know how to move between backend complexity and real-world deployment

● You’ve used tools like Zapier, N8N, or FastAPI in production

● You don’t just write code — you write roadmaps, define structure, and love cross-functional

collaboration

● Bonus: You’ve dabbled in adaptive learning, NLP in regional languages, or multimodal AI

What You Can Expect?

● Real ownership – You’ll lead architecture, experimentation, and rollout

● Deep learning – Work with experienced leaders across product, pedagogy, and AI

● Remote flexibility – Work from anywhere, build for everywhere

● Bold pace, clear values – We move fast, think big, and always center the child

● Future leadership track – Opportunity to grow into a Tech/AI Lead role as we scale

● Full transparency – Competitive salary, equity potential, and clarity on what’s next

A niche, specialist position in an interdisciplinary team focused on end-to-end solutions. Nature of projects range from proof-of-concept innovative applications, parallel implementations per end user requests, scaling up and continuous monitoring for improvements. Majority of the projects will be focused on providing automation solutions via both custom solutions and adapting machine learning generic standards to specific use cases/domains.

Clientele includes major publishers from the US and Europe, pharmaceutical bigwigs and government funded projects.

As a Senior Fullstack Developer, you will be responsible for designing, building, and maintaining scalable and performant web applications using modern technologies. You will work with cutting-edge tools and cloud infrastructure (primarily Google Cloud) and implement robust back-end services with React JS with Typescript, Koa.js, MongoDB, and Redis, while ensuring reliable and efficient monitoring with OpenTelemetry and logging with Bunyan. Your expertise in CI/CD pipelines and modern testing frameworks will be key to maintaining a smooth and efficient software development lifecycle.

Key Responsibilities:

• Fullstack Development: Design, develop, and maintain web applications using JavaScript (Node.js for back-end and React.js with Typescript for front-end).
• Cloud Infrastructure: Leverage Google Cloud services (like Compute Engine, Cloud Storage, Pub/Sub, etc.) to build scalable and resilient cloud solutions.
• API Development: Implement RESTful APIs and microservices with Koa.js, ensuring high performance, security, and scalability.
• Database Management: Manage MongoDB databases for storing and retrieving application data, and use Redis for caching and session management.
• Logging and Monitoring: Utilize Bunyan for structured logging and OpenTelemetry for distributed tracing and monitoring to ensure system health and performance.
• CI/CD: Design, implement, and maintain efficient CI/CD pipelines for continuous integration and deployment, ensuring fast and reliable code delivery.
• Testing & Quality Assurance: Write unit and integration tests using Jest, Mocha, and React Testing Library to ensure code reliability and maintainability.
• Collaboration: Work closely with front-end and back-end engineers to deliver high-quality software solutions, following agile development practices.
• Optimization & Scaling: Identify performance bottlenecks, troubleshoot production issues, and scale the system as needed.
• Code Reviews & Mentorship: Conduct peer code reviews, share best practices, and mentor junior developers to improve team efficiency and code quality.

Must-Have Skills:

• Google Cloud (GCP): Hands-on experience with various Google Cloud services (Compute Engine, Cloud Storage, Pub/Sub, Firestore, etc.) for building scalable applications.
• React.js: Strong experience in building modern, responsive user interfaces with React.js and Typescript
• Koa.js: Strong experience in building web servers and APIs with Koa.js.
• MongoDB & Redis: Proficiency in working with MongoDB (NoSQL databases) and Redis for caching and session management.
• Bunyan: Experience using Bunyan for structured logging and tracking application events.
• OpenTelemetry Ecosystem: Hands-on experience with the OpenTelemetry ecosystem for monitoring and distributed tracing.
• CI/CD: Proficient in setting up CI/CD pipelines using tools like CircleCI, Jenkins, or GitLab CI.
• Testing Frameworks: Solid understanding and experience with Jest, Mocha, and React Testing Library for testing both back-end and front-end applications.
• JavaScript & Node.js: Strong proficiency in JavaScript (ES6+), and experience working with Node.js for back-end services.

Desired Skills & Experience:

• Experience with other cloud platforms (AWS, Azure).
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience working with TypeScript.
• Knowledge of other logging and monitoring tools.
• Familiarity with agile methodologies and project management tools (JIRA, Trello, etc.).

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5-10 years of hands-on experience as a Fullstack Developer.
• Strong problem-solving skills and ability to debug complex systems.
• Excellent communication skills and ability to work in a team-oriented, collaborative environment.

Job Responsibilities:

• Server Monitoring: Monitor server performance and respond to alerts promptly. Troubleshoot and resolve system and network issues.
• Server Disk Cleanup: Regularly analyze and clean up server storage to optimize performance and resource allocation.
• Deployment of New Linux Instances: Create and configure new Linux server instances based on project requirements. Ensure proper security measures and updates during deployment.
• DNS Management: Manage DNS records, domains, and configurations for internal and external services.
• Backing up/Archiving Logs: Implement backup and archiving strategies for server logs to maintain data integrity and facilitate auditing.
• MySQL Backups: Create and manage automated backups of MySQL databases to ensure data integrity. Develop disaster recovery plans.
• System Administration Strategies: Develop and implement system administration strategies to enhance server performance, security, and scalability. Stay updated with industry best practices and emerging technologies

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Proven experience as a Linux Administrator or similar role (5+ years).
• Proficiency in Linux server administration (CentOS, Ubuntu, etc.).
• Strong knowledge of: Server monitoring tools (e.g., Nagios, Zabbix). Configuration management tools (e.g., Ansible, Puppet). Virtualization and containerization (e.g., Docker, Kubernetes). DNS management (e.g., BIND, AWS Route 53). Backup solutions (e.g., Bacula, AWS Backup). Log management and analysis (e.g., ELK Stack, Graylog). Database administration (e.g., MySQL, MariaDB). Security best practices and firewall configuration. Scripting languages (e.g., Bash, Python). Version control systems (e.g., Git). Cloud platforms (e.g., AWS, Azure, Google Cloud). Monitoring and alerting tools (e.g., Grafana, Prometheus). Networking concepts (TCP/IP, routing). System administration strategies and documentation. Excellent problem-solving skills and the ability to work independently.

• Strong communication and teamwork skills.

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include

Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required

Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.

KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.

Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.

Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.

Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

Must Have:

1. Strong proficiency with .Net Core API development
2. Experience with caching approaches for API
3. Hands on with SQL Server and its variation among popular databases
4. Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
5. Skilled at performance optimization of .NET APIs
6. Experience & Knowledge on Open API specification & swagger documentation
7. Experience in building Cloud Native Applications
8. Experience in Microservices architecture
9. Has worked on the deployment of applications using Docker
10. Has Knowledge of Kubernetes
11. Has Experience with Cache systems like Redis.

Nice to Have:

1. Familiar with .NET design patterns
2. Performance tuning of SQL Stored Procedures

Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.