Job Description :
We are seeking a Software Development Engineer I to join our AI, Data & Automation team, focused on building next-generation AI platforms. In this role, you will work on AI Agent Frameworks, Model Context Protocols (MCPs), and AI-enabled search solutions, while integrating and experimenting with multiple LLMs. You will contribute to operationalizing AI platforms with a focus on scalability, reliability, and governance. This role is ideal for engineers with hands-on AI project experience through internships, hackathons, or open source, who are eager to explore emerging AI technologies and make an impact at enterprise scale. You’ll be part of a collaborative environment where continuous learning and innovation are at the core of everything we do.
Job Title : Software Development Engineer
Job Type : Full Time
Location : Bangalore
Experience : Fresher – 2 Years
Role And Responsibility :
Contribute to the design, development, and implementation of AI Agent Frameworks.
Work on integrating and experimenting with multiple LLMs for enterprise-scale use cases.
Assist in operationalising AI platforms, ensuring scalability, reliability, and governance.
Build and extend Model Context Protocol (MCPs) to standardise AI interactions across systems.
Contribute to AI-enabled search solutions (retrieval, ranking, semantic search, vector databases, RAG pipelines).
Write clean, testable, and maintainable code aligned with engineering best practices.
Collaborate with peers and senior engineers to deliver platform features and improve developer experience.
Stay up to date with emerging AI frameworks, tools, and technologies, and share learnings with the team.
Education and Skills :
Bachelor’s degree in Computer Science, Engineering, or related field.
0-2 years of work experience.
Strong programming skills in Python, Java, or similar languages.
Hands-on experience with LLMs, Agents, and/or MCPs through academic projects, internships, open-source contributions, or hackathons.
Exposure to AI-enabled search solutions and underlying technologies such as:
Vector databases (e.g., Pinecone, Weaviate, FAISS)
RAG pipelines
Semantic/embedding-based search
Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack).
Familiarity with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP).
Knowledge of containerization (Docker) and a basic understanding of CI/CD pipelines.
Strong problem-solving ability, eagerness to learn, and ability to adapt to rapidly evolving AI technologies.
Effective collaboration and communication skills.