About the Role:
We are looking for an enthusiastic and detail-oriented Prompt Engineer with 1–4 years of experience to work on cutting-edge Generative AI (GenAI) solutions. The role involves designing, optimizing, and evaluating prompts for Large Language Models (LLMs), while collaborating closely with cross-functional teams.
Candidates with experience in Java will be given preference.
Key Responsibilities:
- Design, craft, and optimize high-quality prompts for Generative AI models to achieve accurate and relevant outputs.
- Collaborate with developers, data scientists, and product teams to integrate AI-generated responses into applications.
- Evaluate LLM outputs for accuracy, coherence, alignment, and overall performance.
- Experiment with various prompt patterns, structures, and techniques to continuously improve response quality.
- Maintain comprehensive documentation of prompt templates, use cases, experiments, and results.
- Stay updated with emerging trends and advancements in GenAI, LLMs, AI tooling, and prompt engineering best practices.
Required Skills & Qualifications:
- 1–4 years of experience in AI, NLP, prompt engineering, or software development.
- Hands-on experience in writing and optimizing prompts for LLMs such as GPT, Claude, Gemini, or similar models.
- Strong analytical thinking, problem-solving ability, and understanding of programming logic.
- Proficiency in Java or another programming language (preferred).
- Solid understanding of GenAI concepts including context windows, temperature, system prompts, and model behavior.
- Excellent verbal, written, and documentation skills.
Good to Have:
- Experience with tools like LangChain, LLMOps frameworks, or prompt testing platforms.
- Familiarity with REST APIs and cloud-based AI services (OpenAI, Anthropic, Google Vertex AI, etc.).
- Understanding of AI model integration in production systems.