Platform Engineer
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Requirements:
- Bachelors or Masters degree in Computer Science AI or related field.
- 37 years of experience in AI/ML engineering preferably with LLMs or AI agents in production.
- Strong programming skills in Python with experience in ML frameworks such as PyTorch or TensorFlow.
- Hands-on experience with LLMs embeddings RAG pipelines and vector databases (Pinecone Weaviate etc.).
- Familiarity with MLOps CI/CD pipelines and cloud deployment (AWS GCP or Azure).
- Experience with Responsible AI bias mitigation or hallucination detection is a plus.
- Strong problem-solving skills and ability to work in a fast-paced collaborative environment.
- Excellent communication skills to explain technical concepts to non-technical stakeholders.
- Experience with AI agent frameworks such as LangChain AutoGPT or LlamaIndex.
- Prior work in regulated or high-stakes industries (healthcare finance legal).
- Open-source contributions or research publications in AI/ML.
- Product-oriented mindset with experience in translating business requirements into technical solutions.
Responsibilities:
- Build and maintain AI agent systems (LLM-based) with a focus on reliability and factual accuracy.
- Implement and optimize hallucination detection models (e.g. HHEM) in production pipelines.
- Develop RAG pipelines: semantic search vector databases and data retrieval to ground AI responses in real data.
- Apply Responsible AI practices: guardrails transparency logging and human-in-the-loop escalation.
- Optimize system performance for latency scalability and cost-efficiency.
- Collaborate with cross-functional teams (product UX data customers) to deliver features.
- Mentor junior engineers and support knowledge sharing within the team.
- Contribute to internal tools open-source projects or research publications when relevant.
