AIML with Agentic AI (Hyderabad)

AIML with Agentic AI (Hyderabad)

22 Aug
|
Prophecy Technologies
|
Hyderabad

22 Aug

Prophecy Technologies

Hyderabad

AI/ML Engineer – Technical Skill Set (Agentic AI Focus)

1. Core Programming & Systems Skills
- Python (expert level)
for ML, orchestration, and agent logic
- Solid understanding of
async programming
, concurrency, and task scheduling

2. Foundations of Agentic AI
- Design and implementation of
autonomous AI agents
capable of:
- Multi‑step reasoning and planning
- Goal decomposition and task orchestration
- Dynamic decision‑making under uncertainty
- Experience with
agent architectures
:
- ReAct, Plan‑and‑Execute, Reflexive agents
- Hierarchical / multi‑agent systems
- Tool‑augmented and function‑calling agents
- Understanding of
stateful vs stateless agents
and memory management

3. Large Language Models (LLMs)
- Hands‑on experience with
LLMs
(OpenAI, Azure OpenAI, Anthropic, open‑source models)
- Prompt‑engineering techniques for:
- Reasoning (Chain‑of‑Thought, Self‑Reflection)
- Planning and critique loops
- Instruction following and tool use
- Experience with:
- Few‑shot and zero‑shot prompting
- Model selection trade‑offs (latency, cost, context length)




- Knowledge of
fine‑tuning / adapters (LoRA)
is a plus

4. Agent Frameworks & Tooling
- Practical experience with
agent frameworks
, such as:
- LangGraph / LangChain (agents, tools, memory)
- Semantic Kernel
- AutoGen, CrewAI, or similar
- Ability to build
custom agent orchestration layers
beyond frameworks
- Tool abstraction and execution safety (timeouts, retries, sandboxing)

5. Memory, Context & Knowledge Augmentation
- Design of
agent memory systems
:
- Short‑term (conversation/state memory)
- Long‑term (episodic, semantic memory)
- Retrieval‑Augmented Generation (RAG)
:
- Vector databases (FAISS, Pinecone, Azure AI Search, etc.)
- Embedding selection and chunking strategies
- Techniques for
context management and compression
- Knowledge graph–augmented or hybrid memory (plus)

6. Planning, Reasoning & Control
- Experience implementing:
- Task planners (step planning, re‑planning)
- Constraint‑based execut

📌 AIML with Agentic AI (Hyderabad)
🏢 Prophecy Technologies
📍 Hyderabad

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