Relationship Officer

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.

Ideal Candidate

10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.

Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.

Proficiency in SQL, Python, and Scala for data processing and analytics.

Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.

Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice

Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.

Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery

Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).

Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.

Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.

Proven ability to drive technical strategy and align it with business objectives.

Strong leadership, communication, and stakeholder management skills

Roles and Responsibilities

Code, develop, design and architect features related to the existing application. We  expect you to own modules end to end and take pride in the work products you  ship.

Lead from the front, when it comes to delivering high quality work products. Serve as a mentor to the team members

Create and define performance metrics. Ideate, innovate and hack through the  existing systems to improve performance

Perform code reviews, set coding practices and guidelines within the team.

Make sense of the product specs, be nimble in getting the issues resolved. Be a thought leader.

Critical Functional Skills

Solid understanding and knowledge of Java/C/C++. You should understand the concepts of multithreading, I/O, messaging, instrumentation etc and their  implementation in Java/Any other ObjectOriented Language.

Proficiency in the implementation of algorithms and the use of advanced data  structures to solve problems in computing. A solid foundation in the principles of  computer science is desired.

Ability to write clean, modular, and loosely coupled code by the use of design patterns.

He/She should be able to break down and architect complex software systems. For example

BuildCars Availability Engine for Ola.

Strong decisionmaking ability

Deep expertise in at least one programming language & tech stack.

Substantial experience in building complex and scalable solutions.

Strong object oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive module and class level interfaces

The ability to do deep problem solving and build elegant, maintainable solutions to complex problems.

Experience leading multi engineer projects and mentoring junior engineers

Experience with full life cycle development in any programming language on a Linux platform

Comprehensive operational experience including, optimizations, deployments and tuning servers like apache/mysql/tomcat/solr

Prior experience in working with Agile software methodologies (XP, Scrum), TDD, and Continuous Integration(CI/CD) a plus.

Experience in building data driven web application design and development is a plus

Expert level experience in building a scalable, large and complex business application

.Experience Required

:Typically with an experience of 5+ years of development experience in a product  firm.

Must have lead, designed, architected and delivered at least 1 project in his previous assignments independently.

Minimum Qualifications Required

Btech/MS from a reputed Institute

Deep expertise with any or combination programming languages: Java, C++, C#, Ruby, Scala,

Go any object oriented high level proprietary or open source language with strong programming constructs. We are not skill specific but go by strength in  competencies Machine coding Single machine in memory program

Need a working code with functionality Readable and well designed code with right abstractions, separation of concerns,right design patterns

Performant code with concurrency and efficient data structures

Write test cases covering the happy path and edge cases

Problem Solving

Choose the right combination of data structures to solve the problem

Identify most edge cases for the problem

Identify opportunities of parallelism: utilizes multicore solutions where applicable

Design & Architecture

Distributed systems design and system interaction

Identify API signatures

LLD with class design

Solve for performance & availability

Responsibilities

• Interact closely with design, product, and development teams to create elegant, usable, responsive and interactive interfaces across multiple devices.
• Turning UI/UX designs into prototypes, creating excellent interactions from designs, writing reusable content modules and maintainability of the code.
• Implement UI development principles to ensure that the product client-side serves at scale.
• Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively.
• Review and Optimize application usage, by monitoring key metrics, for maximum speed and scalability
• Mentoring and guiding the team members.
• An ability to perform well in a fast-paced environment and bring in optimal flow for rapidly changing design/ technology.

Requirements

• 5+ years of relevant work experience as a web developer, UI developer, Angular Developer or front-end engineer.
• Sound knowledge in HTML, CSS & JavaScript.
• Familiar with UI layouts, SASS, Bootstrap, and the CSS GRID system
• Proficient with Typescript (Angular 2 & above)
• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system.
• Passionate to create good design and usability
• A team player with excellent communication skills

Responsibilities -

• Collaborate with the development team to understand data requirements and identify potential scalability issues.
• Design, develop, and implement scalable data pipelines and ETL processes to ingest, process, and analyse large - volumes of data from various sources.
• Optimize data models and database schemas to improve query performance and reduce latency.
• Monitor and troubleshoot the performance of our Cassandra database on Azure Cosmos DB, identifying bottlenecks and implementing optimizations as needed.
• Work with cross-functional teams to ensure data quality, integrity, and security.
• Stay up to date with emerging technologies and best practices in data engineering and distributed systems.

Qualifications & Requirements -

• Proven experience as a Data Engineer or similar role, with a focus on designing and optimizing large-scale data systems.
• Strong proficiency in working with NoSQL databases, particularly Cassandra.
• Experience with cloud-based data platforms, preferably Azure Cosmos DB.
• Solid understanding of Distributed Systems, Data modelling, Data Warehouse Designing, and ETL Processes.
• Detailed understanding of Software Development Life Cycle (SDLC) is required.
• Good to have knowledge on any visualization tool like Power BI, Tableau.
• Good to have knowledge on SAP landscape (SAP ECC, SLT, BW, HANA etc).
• Good to have experience on Data Migration Project.
• Knowledge of Supply Chain domain would be a plus.
• Familiarity with software architecture (data structures, data schemas, etc.)
• Familiarity with Python programming language is a plus.
• The ability to work in a dynamic, fast-paced, work environment.
• A passion for data and information with strong analytical, problem solving, and organizational skills.
• Self-motivated with the ability to work under minimal direction.
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Sportz Interactive (SI) works with its clients and partners to revolutionize the sports fan experience across consumption points by creating best-in-class, kickass products. SI was founded in 2002 as a B2B sports content business. Through the years, it gained immense reputation for its state-of-the-art hosted solutions, digital simulators, match centers and fantasy games. Sportz Interactive has a fantastic reputation in the online sports community, having worked with clients across the globe including the likes of The International Cricket Council, STAR Sports, Yahoo!, AOL, Eurosport, Castrol, Web 18, NDTV, Nimbus, Times of India, Rediff.com and Singtel amongst others. 

Sportz Interactive provides in-depth sports information and content and specializes in product development for the web, mobile and other interactive platforms. 
http://www.sportzinteractive.net/">www.sportzinteractive.net 

2+ years of experience on web technologies.

Primary Responsibilities:

• Coding and debugging pure JavaScript, polyglot and multi-lingual applications
• Working closely with Technical Lead/Project Manager to ensure development timelines are met
• Contribute with ideas to improve system design or streamline product delivery
• Working with challenging applications involving Real Time Data
• Working on different platforms including the usage of the Native SDKs provided on JavaScript

Required Skills:

Mandatory: Passionate about sports, Problem solving, Team player, Target & Result oriented.

Functional: HTML5, CSS3, JavaScript, Vue.js, Typescript, Stimulus JS, AJAX, Browser performance & optimization, Asynchronous requests handling and partial page updates, Browser Developer Tools, GIT and JIRA.