Artificial Intelligence Engineer (Hyderabad)

Artificial Intelligence Engineer (Hyderabad)

13 Aug
|
Neptron Technologies
|
Hyderabad

13 Aug

Neptron Technologies

Hyderabad

Job Role: AI/ML Engineer (Agentic AI Focus)

Experience: 6 - 8 Years

Location: Hyderabad

Work Mode: 5 Days Onsite

Working Hours: 11 AM 9 PM

Notice Period: Immediate to 15 Days

Email your CV: [email protected]

JD-

1. Core Programming & Systems Skills
- Python (expert level) for ML, orchestration, and agent logic.
- Strong 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.
- Agile 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 mana

📌 Artificial Intelligence Engineer (Hyderabad)
🏢 Neptron Technologies
📍 Hyderabad

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