Manager - Business Development

About the role

We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.

Responsibilities

• Build and iterate on prompt pipelines and multi-agent workflow components
• Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
• Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
• Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
• Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
• Debug and maintain pipeline stages in production

What you bring:  

• (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
• Solid Python fundamentals clean, working, readable code
• Hands-on experience with LLM APIs and prompt engineering (personal projects count)
• Comfort with Git, REST APIs, and working in a Linux environment
• A feel for content and narrative you can judge whether generated output is actually good, not just valid
• Curiosity and clear communication you ask good questions and don't stay stuck silently

 Preferred

• Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
• Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
• Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
• Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
• Experience writing evals or LLM-as-judge scoring
• Node.js and Fastapi familiarity, or experience deploying on AWS

Strong Customer Success Manager / Implementation Manager / Post-Sales Enterprise Delivery Profiles

Mandatory (Experience 1): Must have 6+ years of relevant experience in customer-facing Customer Success / Account Management / Implementation roles.

Mandatory (Experience 2): Must have 3+ years of hands-on experience supporting enterprise customers in North America and/or Europe

Mandatory (Experience 3): Must have owned end-to-end enterprise customer implementations, including discovery, onboarding, integrations, go-live, and stabilization.

Mandatory (Experience 4): Must have experience working with CXO / VP / Director-level stakeholders as primary points of contact (POCs) for enterprise accounts.

Mandatory (Experience 5): Must have managed enterprise accounts with ACV / ARR of at least USD 40K+, and owned commercial outcomes such as renewals, expansions, upsells, and retention (NRR).

Mandatory (Experience 6): Must have worked in B2B SaaS companies with complex technical products

Mandatory (Experience 7): Must have a conceptual understanding of SaaS architecture and APIs, with the ability to troubleshoot workflows and coordinate closely with engineering and product teams (hands-on coding not required).

Mandatory (Compensation): Candidate's Current CTC should not be less than 27 LPA.

Job Title: Human Resources Manager (only from product-based companies)

Location: New Delhi, We are based out of Research & Innovation Park in IIT Delhi

Job Type: Full-time

Reports to: CEO

Summary: We are seeking an experienced Human Resources Manager to join our team. The ideal candidate will have a minimum of 5 years of experience in recruitment, team management, and employee relations. The Human Resources Manager will be responsible for managing the day-to-day operations of the HR department, developing and implementing HR policies and procedures, and ensuring compliance with all applicable employment laws and regulations.

Key Responsibilities:

Develop and implement HR policies and procedures to ensure compliance with all applicable employment laws and regulations.

Manage the recruitment process, including developing job descriptions, posting job openings, screening resumes, and conducting interviews.

Develop and implement employee training and development programs to ensure that employees have the necessary skills to perform their jobs effectively.

Manage employee relations issues, including grievances, conflicts, and disciplinary actions.

Oversee the performance management process, including setting performance goals and providing feedback and coaching to employees.

Manage the compensation and benefits program, including developing and implementing competitive compensation and benefits packages.

Maintain HR records and ensure that employee files are up-to-date and accurate.

Develop and implement HR metrics to measure the effectiveness of HR programs and initiatives.

Partner with senior leaders to develop and implement HR strategies that support the overall goals of the organization.

Requirements:

Bachelor's degree in Human Resources or related field.

Minimum of 5 years of experience in recruitment, team management, and employee relations.

Strong knowledge of employment laws and regulations.

Excellent communication and interpersonal skills.

Ability to work independently and as part of a team.

Strong problem-solving and decision-making skills.

Ability to handle sensitive and confidential information.

Strong organizational and time management skills.

Requirement understanding and elicitation, analysis, data/workflows, contribution to product

projects and Proof of concept (POC)

 Contribute to preparing design documents and effort estimations.

 Develop AI/ML Models using best-in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

Job Description :

● Designation : Full Stack Developer

● Industry : Software Development

● Role category : Software Developer

● Education : Graduate

● Total Experience years : 3-5 Years

● Relevant Experience years : 3-5 Years

● Main skill require: : Python, Django, Javascript, react.js

● Gender : Male / Female

● Salary range : 6L to 12 L Per annum

● Job location : Navi Mumbai / Bangalore

● Office time : 11 AM to 8 PM

Hiring Process:

Following are some guidelines for the hiring process. It lists out the

expected experience and skill set required for the position. In terms of

the hiring procedure, our first step involves arranging a video

interview with the candidates who have been shortlisted.

Subsequently, we will proceed to schedule an in-office interview.

Resume Requirements

● Detailed Technical Skillset

● Detailed description of the Project

● Description of the modules/system which the developer was directly

involved in the Development.

Additional Attributes, if available

● Description of Technical Challenges faced and It’s implementation

● Link to their Code Repository (github, bitbucket etc)

● Link to the project

Full Stack Developer

Experience Requirement :

3-5 years of experience in Javascript, ReactJS and Python/Django

Technical skills Frontend:

● Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

● Thorough understanding of React.js and its core principles, React

Hooks, Context, High Order Components

● Prior experience with popular React.js workflows (such as Flux or

Redux)

● Familiarity with more current specifications of EcmaScript

● Prior experience with data structure libraries (e.g., Immutable.js)

● Familiarity with RESTful APIs

● Familiarity with HTML / CSS

● Experience with common front-end development tools such as Babel, Webpack, NPM, Etc.

Additional Skills – Not Compulsory -

● GIT experience is a plus

● Knowledge of isomorphic React is a plus

● Knowledge of modern authorization mechanisms, such as JSON Web Token

● Familiarity with modern front-end build pipelines and tools

● Ability to understand business requirements and translate them into technical requirements

● A knack for benchmarking and optimization

Technical skills Backend:

We are looking for a Python/Django developer who is well versed in Python language as well as in use of the Django framework. Knowledge of other python web frameworks is an advantage.

Skills needed

● Good understanding of Python language(3 + years experience)

● Proficient in Django Development Framework

● Good understanding of REST Architecture

● Good understanding and experience in writing of regular Expressions

● Familiarity with some ORM (Object Relational Mapper) libraries

● Hands on Experience with deployment of application

● Knowledge of user authentication and authorisation between multiple systems, servers and environments

● Understanding of fundamental design principles behind a scalable & distributed application

Key Skills Required :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities :

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications