Fiber Field work

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.

• Minimum of 5 years of experience in B2B enterprise sales with atleast 1-2years in a start-up.
• Should have a proven track record of closing complex deals and managing large accounts.
• Strong understanding of the full sales lifecycle, from prospecting to closing, with expertise in consultative selling and solution-based sales
• Strong negotiation and deal-closing abilities, with the capacity to build trust and rapport with high-level stakeholders.
• Strong experience using CRM systems to track and manage sales pipelines, opportunities, and client interactions.
• Should have done a 0 to 1 sales growth story
• Must be handling West region currently and candidates from Mumbai preferred.

Position Overview

We're seeking a skilled Full Stack Developer to build and maintain scalable web applications using modern technologies. You'll work across the entire development stack, from database design to user interface implementation.

Key Responsibilities

• Develop and maintain full-stack web applications using Node.js and TypeScript
• Design and implement RESTful APIs and microservices
• Build responsive, user-friendly front-end interfaces
• Design and optimize SQL databases and write efficient queries
• Collaborate with cross-functional teams on feature development
• Participate in code reviews and maintain high code quality standards
• Debug and troubleshoot application issues across the stack

Required Skills

• Backend: 3+ years experience with Node.js and TypeScript
• Database: Proficient in SQL (PostgreSQL, MySQL, or similar)
• Frontend: Experience with modern JavaScript frameworks (React, Vue, or Angular)
• Version Control: Git and collaborative development workflows
• API Development: RESTful services and API design principles

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of containerization (Docker)
• Familiarity with testing frameworks (Jest, Mocha, or similar)
• Understanding of CI/CD pipelines

What We Offer

• Competitive salary and benefits
• Flexible work arrangements
• Professional development opportunities
• Collaborative team environment

We build a cloud-based business platform where manufacturers & traders can network with each other and discover trusted buyers and suppliers on the network. Our team consists of generalist engineers who work on building modern websites (SPA & Isomorphic), mobile apps for Android & iOS, REST APIs and servers, internal tools, and infrastructure for all our users.

What do I need?

Graduation/Post-Graduation in any stream (Mandatory Pedegree)

2-5 years experience in Product Management in any company Strong in data analysis with hands on experience in MS Excel and SQL

Strong problem solving skills and willingness to roll up one's sleeves to get the job Skilled at working effectively with cross functional teams in a matrix organization

Willingness to learn and read about new technologies

Product Management, Product Strategy, Analytical Skills, Data Analytics, SQL, MS-Excel, Microsoft Excel, Innovation and Product innovation What will I be doing?

Take ownership of key company metrics assigned to him/her such as Retention, Activation, Growth Regularly interact with customers, customer success team and industry experts to come up with ideas to drive their metrics

Be very proficient in studying and analysing the usage and product data to understand customer behaviour

Work closely with the technology team to ensure their ideas are quickly tested in production environment with frequent iterations Ensure successful ideas get implemented in the product in a scalable and optimized manner

Assesses market competition by comparing the company's product to competitors' products

Work closely with the Growth Team to understand the type of customers we are targeting and their needs and If required, PM can help the growth team in fine tuning the target market and buyer profiles

Work closely with the Customer Success Team to ensure customer delight and success

Identify growth hacks to exponentially increase product usage and adoption by delivering more value to customers

2-3 years in core product 
Pedegree is must (IIT, IIM)
B2C
Fintech
Journey from Product Analyst to product manger
Bussiness side growth

• Liaise with fellow developers.
• Designing and implementing microservices which use the spring boot framework.
• Working in compliance with the full Software Development Life Cycle.
• Connecting microservices to interact with databases.
• Understanding of how streaming technologies work such as Kafka.
• Identifying and finding solutions to bugs.
• Ensure you've written adequate test cases to verify design requirements are being met.
• Create well written documentation for the individual microservices.

QA automation engineers to design automated tests to validate the functionality of network protocol software stack. Their job is to create the initial test plan, write the scripts, install the automation testing protocols, and report the results.

Experience Required: 0-2 years

Primary Skills:

Hand on experience to QA the product following customer requirements.

Prepared test cases, testing, documenting errors (depending on the phase of the project) Checking the bug tracking system for the fixed errors.

Following the automation testing plan to prepare and execute the automation testing and verifying the automation testing results and fixing the automation cases and automation environment issues.

Candidate should have fundamental core networking skills, with basic knowledge of TCP/IP Protocol suite, OSI layered architecture and should be able to relate that knowledge in troubleshooting related issues.

Ability to learn quickly and adapt to new product as organization evolves.

Additional Skills (Preferred):

0-2 years of experience in QA in the field of computer networking is plus.

Hands on experience with Cloud systems, APIs, Application and Database systems.

Hands on experience with Linux and knowledge of Operating System concepts.

Good understanding of complete software delivery cycle(worked with ticketing system, escalation management and building knowledge base for customer support organization)

Nice to have experience in Selenium.

Knowledge in SNMP Protocol.

Familiarity with IXIA Traffic Generator and its APIs for Automation.

Minimum Qualifications:

B.Tech / M.Tech / M.Sc (Computer Science/Information Technology/MCA)

We are backed by some of the best global early-stage technology investors, prolific fintech founders, and experienced insurance industry veterans.