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

Role: Full Stack Developer, Industry Type: Recruitment / Staffing, Department: Engineering - Software & QA, Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.C.A. in Any Specialization, B.Sc in Computer Science and Technology, B.Tech / B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Fullstack DevelopmentRetrieval Augmented GenerationLLM React.jsPythonDockerMern StackMongoDBNode.js

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