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The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

Full-Stack Developer (Angular & Node.js) - Contract-Based

Role Overview: We are looking for a highly skilled Full-Stack Developer to join our team for a high-impact, 6-month contract engagement. This is an onsite, contract-based role based in Andheri, Mumbai. You will be responsible for building, scaling, and maintaining robust web applications, contributing directly to our core product architecture.

Key Responsibilities:

• Develop and maintain scalable, high-performance web applications using Angular and Node.js.
• Architect and build modular backend services, secure RESTful APIs, and manage database schemas.
• Collaborate with the internal product team to deliver new features and optimize existing workflows.
• Manage complex database query optimization and indexing for high availability.
• Maintain clean, maintainable, and well-documented code that adheres to industry standards.

Technical Requirements:

• Experience: 6–8+ years of professional full-stack development experience.
• Frontend Stack: Strong proficiency with Angular, including component architecture, RxJS, and state management.
• Backend Stack: Strong backend experience with Node.js (Express/NestJS or similar framework) and robust REST API design.
• Languages: Solid command of JavaScript and TypeScript across the entire stack.
• Database & Search: Hands-on experience with PostgreSQL (including schema design and query optimization) and Elasticsearch (indexing, querying, and performance tuning).
• Devops & Security: Sound understanding of security best practices (especially important in a fintech/PE context), alongside familiarity with Git, CI/CD pipelines, and modern testing practices.
• Soft Skills: Ability to operate independently in a fast-paced environment and excellent problem-solving skills.

Contract Details:

• Type: Onsite, Contract-based (6 Months, extendable).
• Budget: 90k / Months
• Location: Andheri, Mumbai. (Open exclusively to Mumbai-based candidates as no relocation assistance will be provided).
• Availability: Immediate joiners preferred.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

JOB DESCRIPTION:

Location: mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 3– 7 years of strong hands-on experience in Core Java, Spring boot, microservices, data structures.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains.

1. Bridging the gap between IT and the business using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.

2. Ability to search, extract, transform and load data from various databases, cleanse and refine data until it is fit-for-purpose

3. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met

4. Prioritization of issues to meet deadlines while ensuring high-quality delivery

5. Ability to pull data and to perform ad hoc reporting and analysis as needed

6. Ability to adapt quickly to new and changing technical environments as well as strong analytical and problem-solving abilities

7. Strong interpersonal and presentation skills

SKILLS:

1. Advanced skills in designing reporting interfaces and interactive dashboards in Google Sheets and Excel

2. Experience working with senior decision-makers

3. Strong advanced SQL/MySQL and Python skills with the ability to fetch data from the Data Warehouse as per the stakeholder's requirement

4. Good Knowledge and experience in Excel VBA and advanced excel

5. Good Experience in building Tableau analytical Dashboards as per the stake holder's reporting requirements

6. Strong communication/interpersonal skills

PERSONA:

1. Experience in working on adhoc requirements

2. Ability to toggle around with shifting priorities

3. Experience in working for Fintech or E-commerce industry is preferable

4. Engineering 2+ years of experience as a Business Analyst for the finance processes

Get to Know our Team:

In our Full stack Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: such as TAM SAM, calculator, lead generation, campaign execution & data modeling. Most importantly though, we hire great people and empower them to be successful. Whether it’s building new projects or reimagining our existing business, you’ll make a big impact as part of the Full stack Engineering team.

The Opportunity: 

Swabhav is looking for developers to work on mission critical systems that deal with the designing and development of APIs.

In this Role, you’ll get to

• Lead development of features, experiments, technical projects and complex systems.
• Be a technical architect, mentor, and driver towards the right technology.
• Continue to evolve our architecture and build better software.
• Be a major contributor to our agile and scrum practices. 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution.
• Constantly look for ways to improve our products, codebase and development practices. 
• Write great code and help others write great code.
• Drive Technical decisions in the organization.

What You’ll Need to Succeed

• 3-6 years’ experience under your belt developing performance-critical applications that run in a production environment using Node Js, React Js or Next Js, PostgreSQL.
• Experience in full ownership of the systems involved.
• Hands on experience working with CRM platforms, Third party app integrations or Heavy file processing & Restful APIs.
• You understand that different applications have different data requirements.
• Good understanding of algorithms and data structures
• Strong coding ability.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Excellent communication skills.

It’s Great If You Have

• Experience with Scrum/Agile development methodologies.
• Experience building products.
• Core engineering infrastructure tools like Git for source control.

Profile - Software developer

Experience- 2 to 4 years

Skills- ASP.NET, C#, Entity Framework, SQL Server, LINQ, SSRS, Knowledge of HTML, CSS, JavaScript

Job Location - Navi Mumbai

CTC - Based on your valuable experience

JD

1. Developing innovative solutions.

2. Learning the code base and improving your coding skills.

3. Assisting the development manager with all aspects of software design and

coding.

4. Writing and maintaining error-free code.

5. Monitoring the technical performance of Internal systems.

6. Troubleshooting and debugging code.

7. Working closely with developers to improve the product's functionality.

8. Developer's end testing.

9. Should be able to adapt fast-paced work environment