Assistant Manager- Performance Marketing

Job Title: Generative AI Engineer

Experience: 6–9 years

Job description:

We are seeking a Generative AI Engineer with 6–9 years of experience who can independently

explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and

emerging Gen AI techniques. This role combines deep technical hands-on development with

non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP

and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not

just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities:

·        LLM Applications & Agentic Frameworks

·        Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral,

·        Gemini, or LLaMA on AWS, Databricks, Azure or GCP.

·        Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai,or custom frameworks.

·        Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.

·        Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

·        Advanced AI Experimentation

·        Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.

·        Create and leverage synthetic datasets to simulate edge cases and scale training.

·        Evaluate agents using custom agent evaluation frameworks (success rates, latency,reliability)

·        Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol), Business Alignment & Cross-Team Collaboration

·        Translate ambiguous requirements into structured, AI-enabled solutions.

·        Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have:

·        Microsoft Copilot Studio

·        DevRev

·        Codium

·        Cursor

·        Atlassian AI

·        Databricks Mosaic AI

Qualifications:

·        6–9 years of experience in software development or AI/ML engineering

·        At least 3 years working with LLMs, GenAI applications, or agentic frameworks.

·        Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and

·        model orchestration

·        Proven track record of developing functional AI prototypes beyond notebooks.

·        Strong presentation and storytelling skills to clearly convey GenAI concepts and value.

Role Overview

We are looking for a Digital Marketing Executive to support our paid ads, social media, and content initiatives. The candidate should understand core digital marketing concepts and be comfortable working in a fast-paced, client-focused environment.

Key Responsibilities

a) Assist in planning and executing digital marketing campaigns across Google Ads and Meta Ads.

b) Monitor campaign performance, optimize basic parameters, and support lead-generation efforts.

3) Contribute to social media planning, posting, and engagement strategies.

4) Provide basic SEO insights to guide content and website improvements.

5) Assist in creating ad copies, captions, and creative ideas.

Required Skills & Experience

a) Up to 1 year of hands-on experience in digital marketing (agency experience preferred).

b) Basic working knowledge of Google Ads & Meta Ads.

c) Good to Excellent written and verbal communication skills.

d) Creativity, attention to detail, and ability to multitask

About Us:

PluginLive is an all-in-one tech platform that bridges the gap between all its stakeholders - Corporates, Institutes Students, and Assessment & Training Partners. This ecosystem helps Corporates in brand building/positioning with colleges and the student community to scale its human capital, at the same time increasing student placements for Institutes, and giving students a real time perspective of the corporate world to help upskill themselves into becoming more desirable candidates.

Role Overview:

Entry-level Data Engineer position focused on building and maintaining data pipelines while developing visualization skills. You'll work alongside senior engineers to support our data infrastructure and create meaningful insights through data visualization.

Responsibilities:

• Assist in building and maintaining ETL/ELT pipelines for data processing
• Write SQL queries to extract and analyze data from various sources
• Support data quality checks and basic data validation processes
• Create simple dashboards and reports using visualization tools
• Learn and work with Oracle Cloud services under guidance
• Use Python for basic data manipulation and cleaning tasks
• Document data processes and maintain data dictionaries
• Collaborate with team members to understand data requirements
• Participate in troubleshooting data issues with senior support
• Contribute to data migration tasks as needed

Qualifications:

Required:

• Bachelor's degree in Computer Science, Information Systems, or related field
• around 2 years of experience in data engineering or related field
• Strong SQL knowledge and database concepts
• Comfortable with Python programming
• Understanding of data structures and ETL concepts
• Problem-solving mindset and attention to detail
• Good communication skills
• Willingness to learn cloud technologies

Preferred:

• Exposure to Oracle Cloud or any cloud platform (AWS/GCP)
• Basic knowledge of data visualization tools (Tableau, Power BI, or Python libraries like Matplotlib)
• Experience with Pandas for data manipulation
• Understanding of data warehousing concepts
• Familiarity with version control (Git)
• Academic projects or internships involving data processing

Nice-to-Have:

• Knowledge of dbt, BigQuery, or Snowflake
• Exposure to big data concepts
• Experience with Jupyter notebooks
• Comfort with AI-assisted coding tools (Copilot, GPTs)
• Personal projects showcasing data work

What We Offer:

• Mentorship from senior data engineers
• Hands-on learning with modern data stack
• Access to paid AI tools and learning resources
• Clear growth path to mid-level engineer
• Direct impact on product and data strategy
• No unnecessary meetings — focused execution
• Strong engineering culture with continuous learning opportunities

• Assist in identifying potential clients and generating new business leads. 
• Support the sales team in preparing proposals, presentations, and sales materials. 
• Conduct market research to identify trends and opportunities. 
• Maintain and update the CRM system with accurate client information. 
• Participate in client meetings and calls to understand customer needs. 
• Collaborate with marketing and product teams to align sales strategies. 
• Provide administrative support to the sales team as needed. 

#HiringAlert

We are looking "Peoplesoft Finance Functional Consultant" for Reputed Client @ Chennai Permanent Role.

• Experience: 8yrs

• At least 2 full life-cycle multi country Oracle PeopleSoft implementations Scope must include Finance (Billing/AR,Contracts, Project Costing, Tax) modules.

• In depth knowledge of Oracle Cloud Financials functionality and in particular AR, Knowledge / Experience of advanced collection module is preferred

• Experience working on local legal & tax requirements and building Localization solutions for the same.

• Proven experience of designing and building CEMLI components namely Interfaces, reports, personalization using Oracle ERP tools.

• Strong interpersonal & communication skills, able to develop a strong working relationship with a variety of stakeholders

• Finance qualification and Domain experience is desirable.

• Well versed with Contract Billing Module.

• Should be familiar with Data Migration, Validation, configuration, Training to End User

• Analyze As-Is Processes and craft the optimized To-Be Processes

• Perform Design Validation and identify areas of improvement

• Detailed documentation including Business Requirements Documents, test plans etc.

• Must be able to exercise discretion and judgment with little to no supervision in carrying out daily tasks.

• Ability to operate independently and make decisions with little direct supervision.

• Excellent research, analytical, and critical thinking skills with attention to detail.

• Good project & time management skills – ability to handle multiple priorities, organize work and meet deadlines.