IT Project Manager

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.

Title: KAM

Experience:3-5 Years

Location: Pune

Job Description

As a key account manager, you will play a crucial role in nurturing and enhancing relationships with our clients. Your primary focus will be on ensuring our clients successfully integrate and leverage our APIs and SDK solutions to transform their businesses and meet their strategic goals.

Responsibilities: 

• Manage and enhance customer relationships through proactive communication and strategic account management.
• Act as the primary point of contact for client inquiries, providing technical guidance and business insights related to our API and SDK products.
• Collaborate with clients to understand their business needs and objectives, ensuring their goals are met through effective use of our solutions.
• Conduct regular review meetings with clients to discuss their usage of our products, address any issues, and identify opportunities for additional services, including crossselling and upselling.
• Coordinate with internal teams, including sales, product management, and technical support, to advocate for client needs and ensure a seamless customer experience.
• Develop customer onboarding materials and provide training to clients on new features and updates.
• Monitor customer health metrics and develop strategies to enhance customer satisfaction and retention.
• Analyze customer data to report on successes and areas needing improvement, and provide strategic recommendations to both clients and internal teams.
• Drive increased revenue through effective crossselling and upselling techniques, identifying opportunities to expand client usage of existing products and introducing new product enhancements.

Requirements: 

• Bachelor's degree in Business, Finance, Technology, or a related field.
• 3-4 years of experience in customer success or account management, preferably in fintech, banking, or financial services.
• Strong understanding of APIs, SDKs, and their application in financial services.
• Excellent communication and interpersonal skills, with the ability to interact at all levels of an organization.
• Proven track record of fostering lasting customer relationships.
• Demonstrated ability to effectively drive customer growth and revenue through strategic crossselling and upselling.
• Experience in tech products, SaaS cloud products, and any role.
• Experience in dealing with Enterprise customers would be preferred.
• An understanding of SaaS and BFSI would be preferred.
• A basic understanding of APIs would be preferred
• Ability to manage multiple accounts and tasks with effective resolution of conflicting priorities.
• Ability to understand and communicate technical concepts to nontechnical audiences.

Job Description

Site Engineer – Civil Maintenance, Repair, and Operations (MRO) 

Job Summary:​

The Site Engineer for MRO is responsible for assisting in the maintenance, repair, 

and operational activities of civil infrastructure and facilities. This role supports senior 

engineers and maintenance teams to ensure that all civil works are executed efficiently, 

safely, and in compliance with relevant standards. 

Key Responsibilities: 

∙Assist in the inspection and assessment of buildings, roads, drainage systems, and 

other civil structures. 

∙Prepare and maintain maintenance schedules for routine and preventive tasks. 

∙Coordinate with contractors and vendors for repair and maintenance work. 

∙Monitor and ensure the quality and safety of ongoing repair and maintenance 

activities. 

∙Maintain records of repairs, inspections, and material usage. 

∙Assist in budgeting and cost estimation for civil MRO works. 

∙Provide technical support during emergency repairs or structural failures. 

∙Support in the procurement of materials and tools required for civil maintenance. 

∙Ensure compliance with safety and environmental regulations. 

Skills and Qualifications: 

∙Bachelor’s or Diploma in Civil Engineering. 

∙2–3 years of experience in civil maintenance or construction (internships count). 

∙Familiarity with construction materials, repair techniques, and building codes. 

∙Proficient in AutoCAD, MS Office, and project management tools. 

∙Good communication and reporting skills. 

∙Willingness to work on-site and respond to emergency repair calls.

• Proficiency with React Native.
• Experience and Understanding of ES6 & JavaScript Concepts.
• Experience with React.js and Redux.
• Familiarity with native build tools, like XCode, Gradle Android Studio, IntelliJ
• Hands-on experience on Android, iOS platforms in creating Hybrid / Native applications.
• Has prior experience in creating bridging modules for React Native
• Understanding of the basic concepts of Android and iOS like Services, Background App Refresh, offline compatibility etc
• Hands on experience in Application Design and Development on React Native platform.
• Require knowledge of Version Control GIT.
• Understanding of Unit Testing, Debugging Methodology used in React Native Apps

• Team Members Handling Experience
• Perform checks on correct functionality of the app
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Knowledge of React and the Javascript ecosystem
• Exposure to building ReactNative components in native iOS.
• Knowledge of Beacons and IOT will be value addition.

• 5 Days Working
• Competitive Salary.
• Knowledge-Based Hierarchy 
• Trending Technology Development
• Career Development Programs.
• Tremendous Scope of Responsibilities and KPIs Aligned with Individual and Organisational Goals.
• Exposure to working with a team size of 50+.
• Good Project Incentives and Rewards.
• Monthly Rewards and Recognition Program- Star Performer of the Month.
• Work-Life Balance.
• Fantastic Team Spirit with Creative, Fun and Open Office Work Culture.

• Support the entire application lifecycle (concept, design, test, release and support)
• Produce fully functional mobile applications writing clean code of for React Native Platform.
• Gather specific requirements and suggest solutions.
• Troubleshoot and debug to optimize performance.
• Design interfaces to improve user experience.
• Liaise with the development team to plan new features.
• Ensure new and legacy applications meet quality standards.
• Research and suggest new mobile products, applications and protocols.
• Stay up-to-date with mobile new technology trends.

The Sales Associate is responsible for reaching out to potential leads through LinkedIn Sales Navigator and email to generate sales opportunities. This role requires a proactive and organized individual with strong communication skills and a goal-oriented approach.

Key Responsibilities:

1. Lead Generation: - Utilize LinkedIn Sales Navigator to identify potential leads within the target market. - Create and maintain a list of leads with detailed information for further engagement.

2. Messaging on LinkedIn Sales Navigator: - Craft personalized and compelling messages to initiate conversations with leads. - Engage with leads by showcasing the value of the company's products or services. - Establish and maintain professional and meaningful connections on LinkedIn.

3. Email Outreach: - Develop effective email templates and messaging strategies to contact leads. - Send personalized emails to leads, introducing the company's offerings and benefits. - Follow up with email communications to nurture leads and move them through the sales funnel.

4. Lead Qualification: - Gather essential information from leads to determine their level of interest and potential as sales prospects. - Assess and categorize leads based on predefined criteria.

5. Data Management: - Maintain accurate and up-to-date records of all interactions with leads. - Keep track of response rates and lead progress, providing regular reports to the sales team.

Qualifications:

- Strong written and verbal communication skills.

- Proficiency in LinkedIn Sales Navigator and email outreach tools.

- Adept at data entry and record-keeping.

- Adaptable, with a willingness to learn and adapt to changing market conditions.

- Strong communication skills and the ability to build professional relationships.

Responsibilities

• Produce clean, efficient code based on specifications
• Integrate software components and third-party programs
• Verify and deploy programs and systems
• Troubleshoot, debug and upgrade existing software
• Gather and evaluate user feedback
• Recommend and execute improvements
• Create technical documentation for reference and reporting

Requirements and skills

• 1-3 Years of Proven experience as a Backend Developer
• Tech Stack:

• AWS- Lambda, ECS, RDS Arora, RDS PostgreSQL, DynamoDB, S3, SQS, APIG, Cloud Front
• NodeJS
• Typescript(optional)

• Familiarity with Agile development methodologies
• Experience with software design and development in a test-driven environment
• Ability to learn new languages and technologies
• Excellent communication skills
• Resourcefulness and troubleshooting aptitude
• Attention to detail

• Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors.
• Good understanding of the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization, etc.
• Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet, BERT. Able to implement the latest DL model using existing API, open-source libraries in a short time.
• Hands-on experience with the Cloud-Native techniques. Good understanding of web services and modern software technologies.
• Maintained/contributed machine learning projects, familiar with the agile software development process, CICD workflow, ticket management, code-review, version control, etc.
• Skilled in the following programming languages: Python 3.
• Good English skills especially for writing and reading documentation