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AI/ML Engineer
Delphic Global
Actively HiringFull-time
Location
Remote, IN
Experience
Not disclosed
Role
AI/ML Engineer
Salary
Competitive
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Job Description
- Core Programming & Systems Skills
- Python (expert level) for ML, orchestration, and agent logic
- Strong understanding of async programming, concurrency, and task scheduling
- Foundations of Agentic AI
- Design and implementation of autonomous AI agents capable of:
o Multi-step reasoning and planning
o Goal decomposition and task orchestration
o Dynamic decision-making under uncertainty
- Experience with agent architectures:
o ReAct, Plan-and-Execute, Reflexive agents
o Hierarchical / multi-agent systems
o Tool-augmented and function-calling agents
- Understanding of stateful vs stateless agents and memory management
- Large Language Models (LLMs)
- Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open-source models)
- Prompt-engineering techniques for:
o Reasoning (Chain-of-Thought, Self-Reflection)
o Planning and critique loops
o Instruction following and tool use
- Experience with:
o Few-shot and zero-shot prompting
o Model selection trade-offs (latency, cost, context length)
- Knowledge of fine-tuning / adapters (LoRA) is a plus
- Agent Frameworks & Tooling
- Practical experience with agent frameworks, such as:
o LangGraph / LangChain (agents, tools, memory)
o Semantic Kernel
o AutoGen, CrewAI, or similar
- Ability to build custom agent orchestration layers beyond frameworks
- Tool abstraction and execution safety (timeouts, retries, sandboxing)
Classification: Internal
- Memory, Context & Knowledge Augmentation
- Design of…
Skills
- Machine Learning
- LLMs
- Azure
- AWS
- Python
Required Skills
Machine LearningLLMsAzureAWSPython
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