Agentic AI Engineer
First seen by Alion on Aug 5, 2026.
Agentic AI Engineer
Job Location : Hyderabad
Experience : 5 to 10 Years
Notice Period : Immediate to 15 Days
Mode of Work : 5 Days office
Shift Timings : General Shift
Mandatory Skills : GenAI, Agentic AI, RAG, LLM, ML
Job Summary :
We are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI agents capable of autonomous reasoning, planning, decision-making, and task execution. The ideal candidate will have expertise in Large Language Models (LLMs), AI Agent Frameworks, Generative AI, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and AI Orchestration Platforms. The candidate will work closely with product, engineering, and business teams to build next-generation AI-powered applications that automate complex workflows, enhance user experiences, and drive operational efficiency.
Key Responsibilities :
- Design, develop, and deploy AI agents using modern Agentic AI frameworks.
- Build autonomous and semi-autonomous AI systems capable of reasoning, planning, memory management, and tool execution.
- Develop and optimize applications powered by LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
- Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
- Build multi-agent architectures for complex workflow automation and decision-making.
- Integrate AI agents with enterprise systems, APIs, databases, and cloud services.
- Design prompt engineering strategies and agent orchestration workflows.
- Develop monitoring, evaluation, and observability frameworks for AI agents.
- Optimize AI model performance, accuracy, latency, and cost efficiency.
- Ensure responsible AI practices, security, governance, and compliance standards.
- Collaborate with Data Science, ML Engineering, Product, and DevOps teams throughout the development lifecycle.
Required Qualifications :
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 5+ years of software engineering experience, with at least 2+ years in Generative AI or AI Agent development.
- Strong programming skills in Python.
- Hands-on experience building production-grade AI-powered applications.
- Strong understanding of LLM architectures, prompt engineering, and AI agent design patterns.
- Experience with RAG, embeddings, vector databases, and semantic search.
- Experience integrating AI models using APIs and open-source frameworks.
- Knowledge of machine learning fundamentals and NLP concepts.
- Experience deploying applications on cloud platforms.
Technical Skills :
Mandatory Skills :
- Python
- Generative AI
- Agentic AI
- Large Language Models (LLMs)
- LangChain
- LangGraph
- CrewAI
- AutoGen
- OpenAI APIs / Azure OpenAI
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Vector Databases
- REST APIs
- Git
- Docker
- CI/CD
Preferred Skills :
- Semantic Kernel
- LlamaIndex
- Haystack
- Hugging Face
- FastAPI
- Kubernetes
- Neo4j Graph Database
- Apache Kafka
- Cloud Technologies (AWS, Azure, GCP)
- MLflow
- Databricks
Skills
Artificial Intelligence, Agentic AI, LLM, Generative AI, RAG, Claude, Prompt Engineering, Python, NLP, LangChain, LangGraph