AI Software Engineer
Clinisys
Bengaluru, Karnataka, IndiaMID
Job Description
Contribute to AI-enabled capabilities in Clinisys products.
Responsibilities
- Design and implement AI features across the SDLC and Clinisys products to support agentic and generative workflows.
- Develop and integrate LLM-powered capabilities such as intelligent assistants, natural language query builders, and contextual help systems.
- Fine-tune and implement large language models (LLMs), as well as Retrieval-Augmented Generation (RAG) systems (e.g., Claude, GPT-X), to address domain-specific requirements in laboratory and clinical workflows.
- Monitor model performance post-deployment and implement retraining strategies to maintain accuracy and relevance.
- Apply prompt engineering strategies to optimize LLM responses and user interactions.
- Ensure secure handling of AI inputs/outputs, including prompt data, embeddings, and model responses, in alignment with global data privacy regulations.
- Implement observability practices including logging, tracing, and monitoring for AI services.
- Build full-stack solutions using object-oriented programming, preferably with:
- Scaffold and maintain APIs using controller-service-repository or similar architectural patterns.
- Deploy solutions across on-prem, cloud, and cloud-native environments.
- Ensure robust testing coverage including unit, integration, and performance tests.
- Support DevOps automation for AI-enabled services using CI/CD pipelines.
- Collaborate with UX and product teams to deliver intelligent, user-centric experiences.
- Troubleshoot and resolve integration and deployment challenges.
- Ensure compliance with relevant standards and regulations, including ISO 13485, ISO 9001, Section 508, WCAG, and 21 CFR Part 11.
- Document technical specifications, integration workflows, and architectural decisions.
- Mentor junior developers and promote best practices in AI integration.
- Perform other duties as assigned.
Qualifications
- Demonstrates a comprehensive knowledge of RAG configuration and the integration of large language model outputs with targeted domain-specific data.
- Strong understanding of prompt engineering, fine-tuning, and embedding techniques.
- Familiarity with popular models such as GPT-X, Claude, Gemini, Grok, etc.
- Familiarity with transformer architectures and NLP pipelines.
- Ability to assess and mitigate risks related to bias, hallucination, and data privacy in LLMs.
- Contribute to AI governance initiatives and responsible AI practices.
- Familiarity with AI/ML frameworks and model lifecycle management.
- Strong debugging, analytical, and problem-solving skills.
- Excellent verbal and written communication.
- Collaborative mindset with the ability to mentor and lead by example.
- Bachelor’s degree in Software Engineering, Computer Science, or related field.
- 3+ years of full-stack software development experience.
- 3+ years of experience integrating AI into software products.
- Deep understanding of agile software development methodologies.
- Master’s degree in Computer Science or related discipline.
- Familiarity with LIS/LIMS platforms.
- Knowledge of regulatory frameworks including HIPAA, CLIA, GDPR, and accessibility standards.
- Relevant certifications such as:
- None