INFOPARK

MERN Stack Developer (1 year of experience)

Job Title: MERN Stack Developer
Experience: 1–2 Years
Location: Kochi
Notice: Immediate
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About the Role
We are looking for a passionate and detail-oriented MERN Stack Developer with 1–2 years of hands-on experience to join our team. The ideal candidate should be strong in JavaScript, comfortable working across the full stack, and eager to learn and grow in a fast-paced environment.
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Key Responsibilities
Develop and maintain web applications using MongoDB, Express.js, React.js, and Node.js.
Build reusable, scalable, and efficient front-end and back-end components.
Integrate APIs and third-party services into web applications.
Write clean, well-structured, and maintainable code.
Troubleshoot, debug, and optimize application performance.
Collaborate with UI/UX designers to implement intuitive user interfaces.
Work closely with the team to understand functional requirements and deliver high-quality solutions.
Participate in code reviews and contribute to best practices.
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Education
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Junior Software Engineer (AI)

Location: Kochi
Notice: Immediate
Experience: 1- 2 Years

Job Overview:

We are seeking a Junior Software Engineer with a passion for Generative AI and Large Language Models (LLMs) to join our dynamic AI team. As part of this role, you will focus on leveraging cutting-edge AI technologies like OpenAI’s GPT models, LangChain, and other tools to develop advanced AI-driven applications. You will work on integrating these models into products, exploring their potential for natural language generation, and assisting in the development of innovative AI solutions.
This is a unique opportunity to dive into the rapidly evolving world of Generative AI and contribute to projects that push the boundaries of what’s possible with AI in real-world applications.

Key Responsibilities:

Assist in the design, development, and deployment of large-scale Generative AI applications, specifically focusing on Large Language Models (LLMs) like GPT, GPT-3, GPT-4, and other cutting-edge language models.
Work with OpenAI’s models (e.g., GPT, Codex, DALL·E) to build AI applications, such as chatbots, language-based tools, and creative content generators.
Help integrate LangChain to facilitate LLM-driven workflows, combining multiple language models and data sources for enhanced functionality in natural language processing (NLP) applications.
Assist in fine-tuning pre-trained LLMs for specific business use cases, improving the quality and relevance of AI-generated outputs.
Stay current with the latest advancements in Generative AI and transformer models. Conduct research on improving model accuracy, efficiency, and performance.
Help build AI-powered products by working with cross-functional teams (Product, Engineering, and Data Science) to create solutions from prototype to production.
Contribute to discussions around the ethical use of generative models, including bias, fairness, and responsible AI usage in product design.
Work closely with senior AI engineers, data scientists, and product teams to translate complex technical concepts into practical solutions that meet user needs.
Assist in documenting the development process, best practices, and code for future use. Help in creating technical reports to share findings with the team.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
Strong foundation in Machine Learning (ML), Deep Learning and Natural Language Processing (NLP) concepts.
Familiarity with Generative AI tools, including models like GPT-3/4, OpenAI’s APIs, and other large-scale language models.
Practical experience with LangChain or similar frameworks designed for working with LLMs.
Proficiency in Python (required), with experience in libraries such as Transformers (Hugging Face), TensorFlow, PyTorch, or JAX.
Basic experience in data preprocessing and text processing (e.g., tokenization, embeddings).
Strong problem-solving skills and the ability to troubleshoot AI model performance issues.
Familiarity with cloud platforms (AWS, Azure, GCP) and deployment tools like Docker and Kubernetes.
Knowledge of APIs and integrating AI services into applications.
Ability to work in an agile, fast-paced environment with cross-functional teams