Human Resources (HR) Generalist

Job Description: Prompt Engineer Intern

Opening : 02

Company: Timble AI

Location: Delhi (On-site)

Duration: 4 - 6 Months (With PPO potential based on performance)

Department: AI & Product Development

About Timble AI

Timble AI is a fast-growing technology organization pioneering AI-driven financial intelligence, identity verification, and Voice AI solutions. Built on our core philosophy of "Efficiency by Design," we develop enterprise-grade APIs that automate complex business processes. We thrive on a high-energy culture where innovation meets execution.

Role Objective

We are seeking a tech-savvy Prompt Engineer Intern to collaborate with our engineering team. You will be responsible for designing, refining, and optimizing prompts for Large Language Models (LLMs) to improve the accuracy, speed, and reliability of our AI products.

Key Responsibilities

• Prompt Design & Optimization: Craft, test, and fine-tune complex prompts to ensure our AI models deliver precise, context-aware responses.
• UI Integration: Work closely with front-end components using HTML to ensure the AI's output renders beautifully and functions correctly within our user interfaces.
• Model Evaluation: Conduct iterative testing to identify edge cases, reduce AI hallucination, and maintain output consistency.
• Cross-Functional Collaboration: Partner with the data science and core engineering teams to align prompt behavior with backend technical capabilities.
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Requirements & Technical Skills

• Education: B.Tech in Computer Science (CS) or a related technical field.
• Web Basics: Strong fundamental knowledge of HTML (and basic CSS/JavaScript) to structure and present data seamlessly.
• AI Familiarity: A solid understanding of how LLMs (like GPT, Claude, or open-source models) interpret natural language instructions.
• Analytical Mindset: Excellent problem-solving skills to debug why a model failed a specific query and find a logical fix.
• Work Ethic: A strong "hustle" mindset, ready to adapt to a fast-paced environment and maintain high professional standards.

What’s in it for you?

• Direct mentorship from core AI/ML engineers.
• Hands-on experience working on live production models used by enterprise clients.
• A vibrant office environment where creative ideas are put into production quickly.
• Certificate of Internship and a strong consideration for a Full-Time Offer (PPO).

Position Summary

This is a key role supporting the day‑to‑day operation of one of our esteemed customers' core financial systems across the organization. In this role, you will support application configuration and best practices for systems including Hyperion, PeopleSoft, Concur, Oracle Transportation Management (TMS), Planview, Lucernex, and Coupa. The scope of this role will continue to expand as additional finance systems are shared across multiple business processes and application modules.

Reporting to the Finance Systems Manager and working closely with multiple business stakeholders as well as functional and technical application support teams across the enterprise, you will be responsible for ensuring the ongoing integrity, stability, and effectiveness of application functionality across the Customer's systems landscape.

This position provides an excellent opportunity to support change within a cross‑functional, multi–business unit environment, with exposure to all areas of Finance operations. The role offers a fast‑paced and challenging work environment, with regular interaction and visibility across multiple levels of management.

What you will do:

• Query, script and reporting writing within Finance applications such as Hyperion, PeopleSoft, Concur, Oracle Transportation Management (TMS), Planview, Lucernex, and Coupa
• Application configuration to support core business functionality of procure to pay (P2P)
• Ensure Finance standards are consistently achieved and proactively monitored within our core finance applications
• Engage with broader Finance Systems and Data Governance team members to perform root-cause analysis related to Finance application integrity and/or data fixes resulting from upstream system integrations
• Engage with broader Finance Business Analysts members to support in application enhancements and improvement initiatives.

What we are looking for:

• Demonstrated experience supporting financial and/or operational business processes, such as:
• Record-to-Report (close, consolidation, reporting)
• Procure-to-Pay (requisition → PO → invoice)
• Lease/real estate management and/or portfolio delivery processes
• Proven track record in incident/problem/change management with practical experience leading triage, RCA, and release coordination.
• Ability to elicit requirements and convert them into configuration recommendations and well-defined work items.
• Hands-on leadership of UAT, including test planning, execution, defect management, and go-live readiness.
• Strong understanding of integrations from a functional support standpoint (how data flows, common failure modes, reconciliation).

What you will bring:

• 5+ years in functional application support or functional analyst roles supporting enterprise applications (ERP/EPM/SaaS).
• Bachelor’s degree in business, Finance, Information Systems, Supply Chain, or equivalent experience.
• Strong functional support mindset: restore service quickly, prevent repeat issues, and improve stability over time
• Functional support experience with one or more of:
• Coupa (P2P, catalog/invoicing, supplier enablement, matching rules)
• Lucernex (leases, escalations, CAM, critical dates, lease reporting)

Good to have any of the following skills:

• PeopleSoft Financials (ChartFields, AP, GL, workflow, batch processes)
• Concur (expense policy, audit rules, corporate card feeds, ERP posting)
• OTM/TMS (tendering, execution, rating, freight settlement/audit)
• Planview (demand intake, portfolio/resource mgmt., governance workflows)
• Hyperion (planning, consolidation, metadata/hierarchies, Smart View support)
• Ability to read and validate file layouts/mapping documents, troubleshoot integration logs, and run basic queries (SQL) for investigation.
• Experience with structured intake forums, prioritization frameworks, product ownership, or ITIL-based service management.
• Experience partnering with data governance teams or supporting data quality controls and stewardship processes.

Work time: Eastern time zone (US Shift)

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make

a mark in the trading and fintech industry. If you are looking for just another backend role, this

isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance

driven backend systems, we want you.

What We Expect:

• You should already be exceptional at Golang. If you need hand-holding, this isn’t the place for you.

• You thrive on challenges, not on perks or financial rewards.

• You measure success by your own growth, not external validation.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and optimize high-performance backend systems in Golang for trading platforms and financial

services.

• Architect low-latency, high-throughput microservices that push the boundaries of speed and efficiency.

• Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

• Own your work—no babysitting, no micromanagement.

• Work alongside equally driven engineers who expect nothing less than brilliance.

• Learn faster than you ever thought possible.

Must-Have Skills:

• Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).

• Deep understanding of concurrency, memory management, and system design.• Experience with Trading, market data processing, or low-latency systems.

• Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time

processing.

• Hands-on with Docker, Kubernetes, and CI/CD pipelines.

• A portfolio of work that speaks louder than a resume.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Contributions to open-source Golang projects.

• A history of building something impactful from scratch.

• Understanding of FIX protocol, WebSockets, and streaming APIs.

Why Join Us?

• Work with a team that expects and delivers excellence.

• A culture where risk-taking is rewarded, and complacency is not.

• Limitless opportunities for growth—if you can handle the pace.

• A place where learning is currency, and outperformance is the only metric that matters.

• The opportunity to build systems that move markets, execute trades in microseconds, and redefine

fintech.

This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

We are seeking a highly organized and proactive professional with Engineering background to provide comprehensive support to the CEO. This role goes beyond traditional executive assistance, with a strong focus on strategic alignment, operational efficiency, and cross-functional coordination. The ideal candidate will act as a trusted partner to the CEO, ensuring priorities are executed seamlessly and business objectives are advanced effectively.

Core Focus:

• Operate with a full DevOps mindset, owning the software lifecycle from development through production support.
• Participate in Agile ceremonies and global team collaboration, including on-call support.

Mandatory/Strong Technical Skills (6–8+ years of relevant experience required):

• Java: 4.5 to 6.5 years experience
• AWS: Strong knowledge and working experience with Cloud technologies minimum 2 years.
• Kafka: 2 years of Strong knowledge and working experience with data integration technologies
• Databases: Experience with SQL/NoSQL databases (e.g., Postgres, MongoDB).

Other Key Technologies & Practices:

• Python, Spring Boot, and API-based system design.
• Containers/Orchestration (Kubernetes).
• CI/CD tools (Gitlab, Splunk, Datadog).
• Familiarity with Terraform and Airflow.
• Experience in Agile methodology (Jira, Confluence).

• Act as a bridge between business users and technical teams, translating business requirements into LOANIQ solution designs.
• Gather, analyze, and document detailed functional requirements for new features, system enhancements, and regulatory changes.
• Work closely with development teams to validate LOANIQ configurations, test workflows, and review technical designs.
• Lead or support UAT, coordinate with QA teams, and ensure sign-off from business stakeholders.
• Conduct gap analysis and suggest best practices using LOANIQ's capabilities to improve loan operations.
• Create detailed BRDs, FRDs, process flow diagrams, and user stories aligned with Agile/Scrum methodology.
• Support LOANIQ implementation, upgrades, and version migrations.
• Conduct training, prepare user guides, and provide post-go-live support.

Job Description:

Looking for 3-6 years of experience candidates for the role of software sales executive.

• Prospecting, generating, qualifying, and following up on leads and appointment setting for the external sales team
• Direct email marketing/cold calling to key clients and prospects
• Collaboratively work with the sales, and marketing team to develop lead generation strategies to generate lead opportunities with prospective customers
• Initiates lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives
• Research, track, maintain, and update leads
• Develop a strong knowledge of the company’s products and services to facilitate the sales process
• Achieving sales lead generation and appointment quota
• Individual Performers are required

Key Responsibilities:

• Inside Sales
• Lead Generation
• Executive Email marketing and Cold calling
• International sales experience preferred
• Relevant IT/ERP sales experience preferred

About Us

upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19

• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-

  after startups in India

• upGrad was earlier selected as one of the top ten most innovative companies in India

  by FastCompany.

• We were also covered by the Financial Times along with other disruptors in Ed-Tech

• upGrad is the official education partner for Government of India - Startup India

  program

• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning

   

  Role Summary

  Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
  If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
  We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
  Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.

  
  Roles & Responsibilities

  • • 3+ years of experience in analytics, data science, machine learning or comparable role
    • Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline 
    • Experience in building and deploying Machine Learning models in Production systems
    • Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
    • Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
    • Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders 
    • Comfortable dealing with ambiguity and competing objectives

     

    Skills Required

    • Experience in Text Analytics, Natural Language Processing

    • Advanced degree in Data Science/Data Analytics or Math/Statistics

    • Comfortable with data-visualization tools and techniques

    • Knowledge of AWS and Data Warehousing

    • Passion for building data-products for Production systems - a strong desire to impact

      the product through data-science technique