The opportunity described here combines technical development with practical collaboration in the field of artificial intelligence. The position tasks the selected candidate with connecting to a team to gather functional requirements, converting those requirements into technical specifications, and coding AI agents. This role emphasizes hands-on development alongside cross-functional communication, and it requires familiarity with modern AI tools, cloud infrastructure, and data handling. The engagement is remote, has a defined start window and duration, and offers a modest stipend plus select perks that support professional growth.
Role overview and core responsibilities
The primary responsibilities center on working closely with a team to collect and understand requirements, translating functional needs into technical aspects, and implementing AI agents through coding. This includes the full loop from requirement intake to technical realization, where the candidate serves as the bridge between product-oriented needs and engineering implementation. Emphasis is on clear communication with stakeholders so that functional requirements become actionable technical tasks that guide development.
Day-to-day expectations
- Engage with team members to gather and clarify functional requirements.
- Convert functional requirements into technical specifications and development tasks.
- Design, develop, and code AI agents to meet specified objectives.
- Work remotely and coordinate with the team within the stated start window and duration.
Because the role demands both interpersonal coordination and technical delivery, the ideal approach balances thoughtful requirement analysis with pragmatic coding practices. Candidates should be prepared to document technical interpretations of functional requirements and iterate on agent implementations based on team feedback.
Standout fact: The role explicitly involves connecting with the team to gather requirements, converting them into technical aspects, and coding AI agents.
Skills and technical stack
The position requires a combination of artificial intelligence knowledge, cloud familiarity, containerization, and data handling skills. Proficiency in several specific technologies and processes is indicated, and candidates should be able to demonstrate comfort with each area in practical settings. The role expects hands-on work with tools and languages commonly used for building, deploying, and managing AI-driven systems.
Required technical skills
- Artificial intelligence — conceptual understanding and practical application in agent design and implementation.
- Claude — familiarity with this AI tool or similar large-model assistants for development or integration tasks.
- Cloud Computing — experience deploying or running services in cloud environments.
- Data Cleaning, Data Extraction, Data Preparation — practical skills for preparing datasets used by AI agents.
- Docker and Kubernetes — containerization and orchestration for deploying AI components.
- Python — primary coding language expected for developing AI agents and associated tooling.
These skills together support a workflow that spans data preparation, model or agent implementation, packaging via containers, and deployment or experimentation on cloud infrastructure. The combination emphasizes reproducibility, scalability, and the practical ability to convert functional specs into working, deployable code.
For candidates who want to deepen familiarity with AI agents and practical tools, relevant tutorials and courses can provide focused refreshers or hands-on practice. These resources can help bridge knowledge gaps and support faster onboarding into the responsibilities described.
Read More: Free ChatGPT Tutorial
Read More: Free Time Management Tutorial
Eligibility, timing, and logistics
Who can apply is clearly outlined: candidates must be available to work from home and able to start within a specified start window. The role is remote, and the timeline for beginning work is delimited to a set range of dates. Additionally, the engagement has a fixed duration, and there is a stated candidate preference for a particular educational background.
Eligibility and availability
- Work arrangement: Remote — candidates available for work from home.
- Start window: Must be able to start between 20th Mar'26 and 24th Apr'26.
- Duration: Available for 6 months.
- Candidate preference: Candidates pursuing computer science engineering are preferred.
The listing notes a preference rather than a strict requirement for computer science engineering students, indicating that while this background is favored, the primary constraints are availability and the ability to perform the responsibilities. Candidates should ensure they can commit to the six-month period and meet the start-window constraints before applying.
Structured details
| Item | Detail |
|---|---|
| Number of openings | 1 |
| Stipend | ₹5,000 – 8,000 /month |
| Duration | 6 months |
| Start window | Between 20th Mar'26 and 24th Apr'26 |
| Work arrangement | Work from home |
Perks, compensation, and how this fits into career growth
The engagement offers a stipend and specific perks intended to support the candidate's professional development. Compensation is provided on a monthly basis, and the package includes non-monetary benefits that can aid in future job searches or academic pursuits. The role’s remote nature and flexible scheduling may also make it suitable for students or those balancing other commitments.
Perks and stipend
- Stipend: ₹5,000 – 8,000 per month.
- Perks: Letter of recommendation and flexible work hours.
- Openings: There is one opening for this position.
The provision of a letter of recommendation can be valuable for early-career professionals or students, and flexible work hours support balancing study or other responsibilities. The stipend range sets expectations about monetary compensation while the non-monetary benefits contribute to professional credibility.
When considering this role, candidates should weigh the practical experience of coding AI agents and collaborating with a team against the compensation and duration. The combination of hands-on tasks and a letter of recommendation can be particularly beneficial for those building portfolios or seeking validation of their work.
Read More: Tata Free Data Analytics Virtual Experience Program 2026
Read More: Google Paid Internships & Apprenticeships 2026
Frequently Asked Questions
What are the main responsibilities for this role?
The main responsibilities are to connect with the team to gather requirements, convert functional requirements into technical aspects, and code AI agents. The role entails translating product or functional goals into concrete technical tasks and implementing those tasks through code that drives AI agents.
Which technical skills are required?
Required skills include artificial intelligence knowledge, familiarity with Claude, cloud computing experience, data cleaning, data extraction, data preparation, Docker, Kubernetes, and proficiency in Python. These skills support data handling, development of agents, and deployment on cloud or containerized environments.
Who can apply and what are the availability requirements?
Candidates who can work from home and are able to start between 20th Mar'26 and 24th Apr'26 may apply. Applicants must be available for a six-month engagement. Preference is given to candidates pursuing computer science engineering, though availability and the ability to perform the role are central.
What is the stipend and how many openings are there?
The stipend is between ₹5,000 and ₹8,000 per month. There is one opening for this position. These details define the monetary compensation and the limited availability for the opportunity.
What perks are included with the position?
The listed perks are a letter of recommendation and flexible work hours. These benefits aim to support professional development and provide scheduling flexibility for the candidate during the six-month engagement.
Is this position remote and what is the preferred educational background?
Yes, the position is remote and candidates should be available to work from home. While not mandatory, candidates pursuing computer science engineering are preferred, indicating that this background is advantageous for the responsibilities involved.
Conclusion
This opportunity asks a focused contributor to bridge team requirements and technical implementation by coding AI agents within a defined six-month remote engagement. The role emphasizes a practical mix of data preparation, AI, containerization, cloud awareness, and Python development, supported by a modest stipend and perks like a letter of recommendation and flexible hours. Candidates who can start within the specified window, are available for the full duration, and who either have or are pursuing computer science engineering will find the experience aligned with both skill development and professional credentials.
