Company Overview Trovexis a leading provider of AI-driven solutions for sales enablement and customer engagement. We specialize in developingcutting-edgetechnology solutions to empower businesses to streamline operations, enhance customer experiences, and drive growth. Position Overview We are seeking a motivated SDE Intern withexpertisein Natural Language Processing (NLP), deep learning, and modern AI development practices to join our innovative team. The ideal candidate will have experience with RAG (Retrieval-Augmented Generation),leveragingLarge Language Models (LLMs), prompt engineering, andproficiencyin using libraries likeLangchain,Langraphalong witha strong foundationin Django. Experience with modern AI development tools and AI agent frameworks is highly valued.
Responsibilities
Collaborate with our AI research and development team to explore and implement advanced NLP techniques, including RAG, to enhance our AI-driven solutions.
Develop and experiment with novel approaches for text generation, summarization, and question answering using Large Language Models (LLMs).
Design and craft effective prompts for various LLM applications;optimizeprompting strategies for different use cases and model behaviors.
Utilize NLP libraries such asLangchainandLangraphto preprocess and analyze textdata, andbuild end-to-end pipelines for various applications within our platform.
Assistin the integration of NLP models and pipelines into our existing Django backend infrastructure.
Build and train models usingHuggingFaceandPyTorchlibraries.
Write clean, maintainable RESTful APIs in Django and work on integration with React frontend for AI-powered features.
Leverage modern AI development tools including Claude Code, Cursor, and similar IDE agents to accelerate development workflows and improve code quality.
Design and implement AI agent architectures using frameworks likeLangGraph,AutoGen, or similar tools; explore agentic workflows for complex problem-solving.
Implement and manage Model Context Protocol (MCP) integrations for seamless tool and data connectivity in AI applications.
Work closely with cross-functional teams to understand requirements and contribute to the development of innovative AI-powered features and functionalities.
Collaborate with senior team members to design and execute experiments, analyze results, and iterate on model improvements.
Document research findings, methodologies, code implementations, and prompt engineering approaches effectively.
Requirements
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Enrolled in or recently completed aBachelor's or Master'sdegree program in Computer Science, Artificial Intelligence, or a related field, preferably in final year.
Strong understanding of Natural Language Processing concepts and techniques, with hands-on experience working on NLP projects.
ProficiencyinutilizingRAG (Retrieval-Augmented Generation) andleveragingLarge Language Models (LLMs) for text generation and question-answering tasks.
Demonstrated experience with prompt engineering, including designing, testing, andoptimizingprompts for different LLM applications and use cases.
Experience with libraries likeLangchain,Langraph,HuggingFace, andPyTorch.
Familiarity with modern AI development toolssuch as Claude Code, Cursor, or similar AI-assisted development environments.
Exposure to or experience with AI agents and agentic frameworks(e.g.,LangGraph,AutoGen, Semantic Kernel); understanding of multi-step reasoning and tool-use patterns.
Knowledge of Model Context Protocol (MCP)or similar standards for AI tool integration and communication protocols.
Familiarity with web development frameworks, particularly Django, for backend development.
Solid programming skills in Python withabilityto write clean, maintainable, and well-documented code.
Strong problem-solving abilities and genuine passion for learning and experimenting with emerging AI technologies.
Excellent communication skills and ability to work collaboratively in a fast-paced team environment.
Ability to learn quickly and adapt to new tools, frameworks, and methodologies in the rapidly evolving AI landscape.
Nice-to-Have Skills
Experience with vector databases (e.g., Pinecone,Weaviate, Chroma) for RAG implementations.
Familiarity with model evaluation frameworks and prompt testing methodologies.
Understanding ofAI ethics, responsible AI practices, and safety considerations in LLM applications.
Experience with containerization (Docker) and deployment of ML models.
Contributions to open-source AI projects or published research.
Benefits
Opportunity to work oncutting-edgeAI technologies and contribute to innovative, real-world projects thatimpactbusiness growth.
Mentorship from experienced AI professionals, ML researchers, and senior engineers.
Hands-on exposure to the latest AI tools, frameworks, and development practices in the industry.
Flexible work schedule and potential for remote work options.
Collaborative and inclusive work culture where your contributions are valued, recognized, and directlyimpactproduct development.
Access to learning resources, courses, and professional development opportunities.
PPO (Pre-Placement Offer) opportunityif youdemonstrateexceptional performance and growth throughout the internship.
Why JoinTrovex? Immerse yourself in the exciting and rapidly evolving field of Generative AI and NLP. Contribute to groundbreaking solutions thatleveragestate-of-the-artAI technologies while working alongside industry experts. Be part of a team that values innovation, collaboration, and pushing the boundaries ofwhat'spossible with AI. Apply now to become part of theTrovexfamily and shape the future of AI-driven solutions!
Who can apply
Only those candidates can apply who
are available for the work from home job/internship
are available for duration of 6 months
have relevant skills and interests
Number of openings
1 Editor’s note
Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.
