
AI/ML Engineer
Role summary
We are seeking an AI/ML Engineer with expertise in AI platform development to enhance DevOps and Infra workflows. The role involves designing and implementing AI prompts, strategies, and Agentic AI experiences, focusing on RAG, context engineering, and agentic frameworks like LangChain and AutoGen. You will leverage strong programming skills in Python, Typescript, Nest.js, Go, and Java, alongside software engineering best practices including APIs, CI/CD, Docker, and Kubernetes. Experience with vector databases and a proactive approach to problem-solving in a fast-paced AI environment are crucial. This role requires collaboration with team leads and architects to deliver high-quality, ethical AI solutions.
Top 5 Skills Required:
- AI/ML Concepts - Knowledge and implementation experience. Deep understanding of prompts, strategies, RAG.
- AI, LLMs - Knowledge and implementation experience
- Agentic Frameworks - Knowledge and implementation experience.
- Deep understanding of Context Engineering, LangChain, LangGraph, CrewAI, AutoGen, Web Scraping Tools.
- Understanding of MCPs, Agentic RAG (Supabase, Vectorize, Pinecone, Weaviate are all a plus), Evals, Tools etc.
- Programming - strong programming skills in Python, Typescript, Nest.js, Go, Java
- Problem-solving - with strong analytical skills (should be able to tackle complex issue and AI hurdles)
Job Description:
- AI platform development to improve DevOps and Infra workflows.
- Software design, interface design, micro service development, java back-end development, workflow development and testing.
- Develops AI prompts and other strategies to improve the consistency, relevance and accuracy of LLM workflows and Agentic AI experiences.
- Works with Team Leads, applications architects and QA testers. Deliver quality code with proper documentation that meet the needs of the business.
- Helps drive Agentic AI adoption within the EngOps team.
Qualifications Experience:
- 3 to 5 years of experience (or more) If only Agentic Systems - can be hands-on Agentic framework related experience ~ 1 year or more Data related.
- Problem-solving with strong analytical skills (should be able to tackle complex issue and AI hurdles
- Proactive and a good mindset in a fast-paced AI world Strong communication skills
- Should be able to also deep dive into technical AI insights (not just non-technical communications)
- Experience working as a team and as an independent contributor Ethical AI
- Secure deployments, responsible and ethical AI practices
Technical Skills:
- Typescript, Nest.js (and how they can be used for AI / Agentic AI) Python (and how it can be used for AI Work) AI/ML Concepts
- Knowledge and implementation experience. Deep understanding of prompts, strategies, RAG. GenAI, AI, LLMs
- Knowledge and implementation experience Agentic Frameworks
- Knowledge and implementation experience.
- Deep understanding of Context Engineering, LangChain, LangGraph, CrewAI, AutoGen, Web Scraping Tools.
- Understanding of MCPs, Agentic RAG (Supabase, Vectorize, Pinecone, Weaviate are all a plus), Evals, Tools etc.
- Programming - strong programming skills in Python, Typescript, Nest.js, Go,
- Java Software and Systems Engineering - APIs, REST APIS, understanding. CI/CD, Docker, K8s, Cloud understanding is critical
- Experience with Claude Code, Cursor are a huge plus
- Knowledge and working experience with Figma, Windsurf, Replit are a must have.
Education:
A Bachelor's or Master's degree in Computer Science or Engineering Degree , AI, Engineering, or a related field is typically required. A PhD may be a plus for senior roles.
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