Senior Software Engineer

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.

Key Responsibilities:

1. Advanced Tracking Implementation
2. Design and execute advanced tracking solutions across both web and app environments using GA4, GTM (Web & Server-side), and Firebase. This includes configuring events, custom parameters, and dataLayers for accurate data collection. You will also implement enhanced tracking, user journey analytics to ensure comprehensive visibility of user behavior.
3. 
   
4. Troubleshooting and Problem Solving
5. Identify, investigate, and resolve complex tracking or data discrepancies. You’ll use debugging tools and browser inspection utilities to diagnose issues. Collaborating with developers, you will resolve technical errors, configurations, and perform thorough QA testing to validate every deployment.
6. Custom Solution Development
7. Develop and deploy custom JavaScript and GTM solutions to meet unique business tracking requirements. You will create reusable templates, automation scripts, and tagging logic that improve efficiency and enable scalable analytics solutions. Implement and manage cookie consent systems to ensure compliance with global privacy regulations like GDPR and CCPA
8. Measurement Strategy and Analytics Frameworks
9. Build and maintain measurement frameworks that align analytics implementations with key business KPIs. You’ll translate marketing and operational objectives into clear, technical tracking requirements and audit existing setups to identify data integrity issues.
10. Documentation and Reporting
11. Create and maintain detailed documentation for all tagging structures, dataLayer designs, and measurement frameworks. You’ll produce QA and validation reports, project summaries, and technical handovers to ensure transparency and consistency across teams and clients. Create and share implementation reports, audit summaries, and technical handover guides.

Key Skills & Competencies

• Strong technical knowledge of GA4, GTM (Web & Server-side), and Firebase implementations.
• Strong understanding of tools like: GA4 / Firebase / Mixpanel / Segment / Adjust / AppsFlyer
• Hands-on experience with JavaScript, regex, and JSON for creating custom tracking solutions.
• Website, iOS, Android, React Native, Flutter event architecture
• Hands-on experience with debugging tools (Charles, ADB, Xcode logs, chrome extensions).
• Expertise in dataLayer schema design, tagging, documentation, implementation, debugging, and data validation processes.
• Excellent understanding of data privacy laws (GDPR, CCPA) and consent management solutions.
• Analytical mindset with a strong attention to detail and problem-solving ability.
• Proven ability to collaborate with cross-functional teams and communicate technical concepts clearly with clients and teams.
• Ability to troubleshoot complex data issues independently.
• Project ownership mindset with strong prioritization and organizational skills.

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie 

ReactJs Developer

Key aspects of this role:

• Meeting with the development team to discuss user interface ideas and applications.

• Reviewing application requirements and interface designs.

• Identifying web-based user interactions.

• Developing and implementing highly-responsive user interface components using React concepts.

• Writing application interface codes using JavaScript following React.js workflows.

• Troubleshooting interface software and debugging application codes.

• Developing and implementing front-end architecture to support user interface concepts.

• Monitoring and improving front-end performance.

• Documenting application changes and developing updates.

To be the right fit, you'll need:

• Minimum 4+ years relevant experience in application development and React JS.

• Knowledge of React hooks such that use Context, use Reducer, use Effect.

• Knowledge of React props and state management (both functional and class component)

• Strong understanding of Error boundary concept of react.

• Work experience with any react based UI library or Redux is preferable

• Experience in building cross-browser layouts with CSS and HTML

• Make a list of potential clients such as supermarkets, online grocery portals, kirana stores, etc.
•  Work on analysing sales data and generate weekly sales reports via field sales management software
•  Accompany salesmen and understand the selling process in-field sales
•  Visit kirana stores and supermarkets to analyse shelf space, competitors in the market and market share of our product
•  Suggest suitable promotional activities based on your observations
•  Work closely with field sales executives and assist them in ascertaining the productivity of stores
• Manage and learn the overall sales process and get first-hand experience in the FMCG market
• Good telecommunication skills and corporate skills.

At LambdaTest, We help developers and testers fix their applications across a combination of 2000+ browsers and Operating Systems by providing a complete cross-browser ecosystem on the cloud. As Backend Developer You will work with other Developers throughout the Software Development Life Cycle.

You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll out product that deliver the company’s vision and strategy.

What’s the Opportunity?

• As a hands-on engineering professional, you'll stay on top of the details and will be more focused on building a better, more efficient program and creating the best user experience and 
• Support and collaborate with our service engineers in getting to the bottom of issues and come up with robust solutions.
• Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people.
• Design distributed systems using micro services architecture would be plus.
• Implementing high performance and non-blocking systems to serve traffic heavy SaaS based product.

Requirements and qualifications-

• Bachelor's degree in Computer Science or equivalent combination of technical education with 2-4 Years of work experience.
• Experience with one or more general purpose programming languages, including but not limited to:Python, Golang, NodeJs 
• A solid understanding of software construction
• The ability to naturally follow good development practices like test automation, CI/CD, source version control, etc.

Looking for SAP Master Data migration consultant to lead & support the execution of Data cleansing activities in ECC for EWM/TM implementation. This is a remote role with hands on participation into Master Data related project activities. We has an existing MDG solution which is deployed on an S/4 HANA HUB and we support our ERP operations on SAP ECC version. Focus of master data technical consultant will be to support data cleansing activities on Business Partners in ECC and support EWM/TM decentralized system implementation. 

Responsibilities:

• Lead technical master data cleansing of Business Partners in SAP/ECC to support EWM/TM implementation
• Support the Functional Consultants during business process discussions with customer teams
• Assist the Functional Consultant in gathering the requirements and ultimately set up a fully functional development, test, and production environment to deliver cleansed Master Data required for EWM/TM implementation.
• Responsible for making solution recommendations considering scope and client requirements
• Prepare the technical specifications based on the functional specifications supplied by the functional consultant
• Engage with project teams for Data migration and Master Data design discussions
• Error resolution for Data migration activities to support milestone projects for the organization.

Requirements:

• Hands on implementation experience on projects involving SAP S/4 HANA Solution for: Business Partners, Customer, Vendor, Material
• Good understanding of Master Data number ranges across Data domains
• Good understanding of Master Data related configuration across Business Partners and Material domain
• Good understanding of Master Data Idocs /ALE distribution, Business Partner concept, Customer Vendor (CVI) Integration with S/4 HANA, SLG1 Error resolutions and Data validation.
• Strong knowledge of standard Master Data tables both from ECC and S/4 HANA.
• Ability to work on migration of existing master data into target S/4 HANA systems
• Have worked on data replication framework (DRF), data import using DIF, SOA service, ALE configuration.
• Knowledge on S/4 HANA Migration projects with expertise on industry best practices for Master Data implementation.
• Experience in supporting UAT phase and go-live period of SAP Master Data

Preferred:

• Degree in area of specialization.
• Proven skills as a team member, team lead on at least three full life cycle implementations for Data migration activities on S/4 HANA migration projects from ECC. (ECC to S/4 HANA)
• A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines.
• Ability to work independently, manage project deliverables.
• Adept at implementing technology-enabled business solutions for clients as part of a high-talent team.
• Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
• Ability to collaborate with clients and have a strong desire to excel.
• Adept at implementing technology-enabled business solutions for us. as part of a high-talent team
• Resource can be working remote / offshore with working hours between ~ 6 PM EST team. 3PM EST. Major availability.

should have 1-2 years exp in Telecom products like Ericsson , mitel, avaya , ip based pbx , video conference and troubleshooting 

About Us

Wrky.ai provides the Intelligence and tools the businesses need to discover and nurture their talent potential. Evolved from a basic assessment to a much-advanced intelligence platform where we aim to help companies step up their talent game with data-driven insights. A Lean team of 5 people working toward making the shift happen, eagerly waiting for the 6th to join the rocket ship soon.

Selected Candidate day-to-day responsibilities include:

We are looking for a Django developer interested in building and performing web-based applications. You will be responsible for building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Tech skills required but not limited to -

• Familiarity with Django/Django REST Framework

• Familiarity with OAuth and authentication systems

• Experience with popular RDBMS technologies (MySQL, Postgres, etc.)

• Experience with developing APIs

• AWS knowledge is highly preferred

Skill(s) required:- Python, Django, GitHub