Zoho Consultant

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.

Senior Web Backend Developer

 Company Overview:

It is a US based startup founded in 2018 to build an edge data platform for the autonomous world.Rich data in large volumes is getting collected at the edge (outside a data center) in use cases like autonomous vehicles, smart manufacturing, satellite imagery, smart retail, smart agriculture etc.These datasets are characterized by being unstructured (images/videos), large size (Petabytes per month), distributed (across edge, on-prem and cloud) and form the input for training AI models to get to higher degrees of automation. It is engaged with building products that solve these unique challenges and be at the forefront of this edge data revolution.

The company is backed by prominent VCs and has it’s entire software engineering team based out of India and provides ample opportunities for from-scratch design and development.

Role:

This role is an individual contributor role with key responsibilities in developing web server backends for Akridata management plane software that provides a ‘single pane of glass’ for users to manage assets, specify and monitor large volume data pipelines at scale involving 10s of petabytes of data.

This role involves:

1. Working with tech leads and the rest of the team on the feature design activities and picking appropriate tools and techniques for implementation.
2. Be a hands-on developer able to independently make correct implement choices, follow sound development practices to ensure an enterprise grade application.
3. Guide and mentor junior team members.

 What we are looking for:

1. A Bachelor’s or Master’s degree in computer science with strong CS fundamentals and problem-solving.
2. 5+ years of hands-on experience with software development with 3+ years on web backend development.
3. A good understanding of backend application interactions with relational databases like MySQL, Postgres etc
4. Knowledge of web server development frameworks preferably on Python.
5. Enthusiastic to work in a dynamic, fast paced startup environment.

Good to have:

1. Hands-on experience with designing database schema and implementing and debugging SQL queries for optimal performance for large datasets
2. Experience working with applications deployed on Kubernetes clusters.
3. Experience with working on a product from early stages of it’s development typically in a startup environment.

Job summary  

AEM, Java, Jenkins, DevOps

"Experience on Agile methodology.

• Hands on experience on AEM, JCR, Apache Sling, Apache Felix
• Develop AEM templates, components, fragments and experiences
• Work extensively in Core Java 1.8, JEE, AEM 6.2, AEM 6.1, AEM 6.0, CQ5.5, Apache CXF
• Translates business requirements into AEM specific implementation, specifications, designs, Authors content, etc.
• Make changes to AEM site content, assets, pages, workflow, etc.
• Design and build components, templates, dialogs, and workflows using the AEM architecture (Sling, CRX, OSGI, JCR)
• Diagnoses and solve technical problems related to content management such as search result accuracy, dynamic content linking, formatting, image scaling, internationalization, and personalization
• Need to work in J2EE Web Technologies using Servlets, JSP, spring, Hibernate, Java Beans, Collections, JDBC, JavaScript, XML, HTML, DHTML, and CSS.
• To work on agile methodology, rapid development and prototyping environment"

Techincal Skills

Good to have JDBC, ANSI SQL, Jenkins, Core Java, DevOps, Adobe AEM

The Technical Lead should be well versed with Node.js, React js, AWS, Microsoft Azure, flutter, scalable cloud architecture.

He/she will be working directly under the CEO and will act as both a technology and business expert, making decisions that will impact the current and future operations of the company. 

Responsibilities:

• Setting a vision for how technology will be used in the company.

• Ensuring that the tech team meets the company’s short and long term needs.

• Outline the goals for research and development. 

• Creating timelines for the development and deployment of all product requirements. 

• Acting as a mentor to the tech team members. 

• Maintaining a consumer-focused outlook and aiding in the delivery of new features.

• Managing technology budgets and time frames.

• Driving and planning sprints and ensuring a high tech team velocity.

• Staying on top of technology trends and developments.

• Ensuring all technology practices adhere to regulatory standards.

• Ensuring that there is no system downtime and all products are working seamless.

Requirements /Qualifications:

• Exceptional communication skills (both verbal and written). 

• Self-motivated with diligent work ethic, a business acumen, enthusiastic and passionate, exceptional team management skills. 

• Should be well versed with Node.js, React js, AWS, Microsoft Azure, flutter, scalable cloud architecture.

• Extensive industry knowledge with an eye towards the future.

• Proactive and efficient time management.

• Ability to delegate efficiently. 

• Should have managed and set up teams. 

• Process orientation.

• 5+ years of experience as an Engineering head.
  
  Salary will be based upon industries standard 

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

Hey 

We are looking for freelance iOS Developers for our new startup. 

If you believe you are a developer who can follow all best practices and create quality apps, only then apply for this job. 

We can allow you to work on your desired time frames each week, but we are strict about deadlines. 

We expect you to be good at

- Managing rest services 
- Managing cache and permanent storage

- Preparing pixel perfect UI which is compatible with all screen sizes (designs will be given)

- Daily pushing your code using Git 

- Writing clean and understandable code

All the best!