KD
AI/ML Software Engineer
Kapital Data Corp
Location not stated
Remote
5 months ago
- AI/ML
- AI
- RAG
- System Design
- Docker
- Python
- SQL
- PostgreSQL
- Git
- Vector Search
- Natural Language Processing
- Neo4j
- Apache
- React.js
5 months ago
Key Responsibilities
1. System Design & Development
- Design and build AI/ML-powered applications and systems
- Develop solutions usingLLMs, RAG (Retrieval-Augmented Generation), and automation tools
- Contribute to architecture, workflows, and system integration
- Select appropriate techniques (LLM vs non-LLM) based on use cases
- Build and enhance:
- Internal & external chatbots
- Document analysis, generation, and redaction systems
- Transcription and translation solutions
- Knowledge retrieval and deep research systems
- Developmulti-agent AI systems and data pipelines
- Develop unit and integration tests for AI systems
- Build evaluation pipelines using synthetic data
- Optimize systems foraccuracy, latency, and cost efficiency
- Deploy applications inhybrid cloud environments
- Work withDocker and containerized applications
- Optimize performance in low-compute environments
- Collaborate with cross-functional teams
- Document system architecture, workflows, and decisions
- Stay updated with latest AI/ML advancement
- Bachelor's degree in:
- Computer Science / Engineering / Data Science / Mathematics or related field
- 3+ years in AI/ML, Data Science, or Applied AI
- 3+ years in software engineering / backend development
Core Technical Skills
- Python, APIs, backend development
- SQL / PostgreSQL
- Git, Docker, data pipelines
- LLMs, RAG, embeddings, vector search
- NLP techniques (classical + LLM-based)
- Model evaluation and hallucination mitigation
- Graph databases (Neo4j, Apache AGE)
- Multi-agent AI systems
- Fine-tuning models
- Hybrid cloud & distributed systems
- React / chatbot UI frameworks
AI/ML Software Engineer · Kapital Data Corp