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AI Engineer

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Helpcare AI

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

1500000.00 - 3000000.00 INR / Year
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Job Description:

About the Role: We are a fast-growing technology company leveraging large language models and AI to power next-generation applications. Our teams deliver high-impact solutions across diverse domains while maintaining a culture of curiosity, collaboration, and continuous learning. We’re seeking a skilled Prompt / AI Engineer to design, implement, and optimize natural-language prompts, chains, and retrieval-augmented workflows. You’ll partner with engineering, product, and data science teams to ensure seamless integration of LLM capabilities into our services.

Job Responsibility:

  • Prompt Design & Optimization: Craft and iterate prompt templates for a variety of use cases (summarization, classification, Q&A)
  • Implement few-shot examples, chain-of-thought techniques, and dynamic parameterization
  • Benchmark, profile, and refine prompts to balance accuracy, latency, and cost
  • Workflow & Chain Development: Build multi-step LLM pipelines using frameworks like LangChain, LlamaIndex, or equivalent
  • Integrate retrieval-augmented generation (RAG) with vector stores and document loaders
  • Develop agentic workflows that orchestrate API calls, data enrichment, and user interactions
  • Model Integration & Testing: Integrate with public and private LLM services (e.g., OpenAI, Anthropic, self-hosted models)
  • Automate performance tests, error-handling routines, and hallucination checks
  • Monitor usage metrics, implement rate-limits, and optimize token budgets
  • Collaboration & Documentation: Work closely with backend/frontend engineers to expose LLM endpoints
  • Create and maintain a prompt library, testing suite, and best-practice guidelines
  • Conduct reviews, knowledge transfers, and training sessions on prompt engineering

Requirements:

  • 3+ years of experience in AI/ML, NLP, or software engineering with a focus on prompt or LLM integration
  • Strong proficiency in Python and familiarity with LLM client libraries
  • Hands-on with at least one orchestration framework (LangChain, LlamaIndex, Dify, etc.)
  • Experience working with vector databases (Pinecone, Weaviate, Qdrant) or embedding services
  • Solid understanding of prompt-engineering techniques, chain-of-thought, and RAG concepts
  • Ability to benchmark, profile, and optimize model calls for performance and cost
  • Excellent written communication for clear documentation and prompt examples

Nice to have:

  • Experience fine-tuning or prompt-tuning domain-specific models
  • Familiarity with self-hosted LLM deployments (Hugging Face, OpenAI local runtimes)
  • Background in automated evaluation metrics (ROUGE, BLEU, custom tests)
  • Contributions to open-source prompt libraries or agent frameworks
  • Exposure to CI/CD for AI services and observability tools
What we offer:
  • Impactful Projects: Shape core LLM-driven capabilities across diverse applications
  • Innovative Environment: Work with cutting-edge models, RAG pipelines, and agent frameworks
  • Growth & Learning: Access to mentorship, training budgets, and conference support

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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