Key Responsibilities

1. Research &

- Solution Exploration

- Research LLMs, agentic frameworks, RAG, knowledge retrieval, automation, and emerging AI technologies.

2. AI-First Application Development

- Use AI coding agents to accelerate development of frontend components, backend logic, APIs, and integrations.

- Build and enhance application modules, including intelligent features for existing enterprise platforms.

- Review, understand, debug, and refine AI-generated code.

- Develop modular, maintainable solutions using established engineering practices.

3.

Agentic

Systems &

- Prototyping

- Experiment with LLM integrations, RAG pipelines, vector search, tool calling, and multi-step agent workflows.

- Explore context management, structured outputs, orchestration, and controlled agent execution.

- Convert requirements into visual mockups, working POCs, and MVPs for rapid validation.

- Take ownership of defined experiments, prototypes, or features through iterative development.

4.

Agentic

Testing, Security &

- Reliability

- Investigate hallucinations, prompt injection, incorrect outputs, execution failures, and edge cases.

5.

Engineering

Collaboration &

- Delivery

- Collaborate with technical leads, developers, and business stakeholders on solution design and implementation.

- Work with Git repositories, databases, APIs, debugging tools,



and development environments.

Required Skills &

- Knowledge

- Working knowledge of at least one language: Python, JavaScript, TypeScript, PHP, or Java.

- Understanding of programming logic, data structures, debugging, and application architecture fundamentals.

- Familiarity with frontend/backend concepts, REST APIs, JSON, HTTP, and database operations.

- Basic exposure to SQL, MySQL, PostgreSQL, MongoDB, or equivalent databases.

- Familiarity with Git, GitHub, or GitLab.

- Basic understanding of LLMs, generative AI, prompting, and model limitations.

- Awareness of AI agents, RAG, embeddings, vector databases, and intelligent workflows.

- Familiarity with AI coding assistants such as Cursor, Claude Code, GitHub Copilot, Google Antigravity, Gemini Code Assist, or equivalent.

- Interest in experimenting with LLM APIs, open-source models, and agentic frameworks.

- Understanding of the need to validate AI-generated code and outputs.

Desired Candidate Profile

- Recent graduates in Computer Science, IT, AI/ML, Data Science, or related disciplines.

- Freshers or candidates with up to 6 months of skilled experience, excluding internships.

- Academic, personal, internship, or hackathon projects involving software development, AI, ML, RAG, automation, or related technologies.

📌 Junior Agentic Developer (Kolkata)
🏢 2COMs
📍 Kolkata