Agentic AI Implementation Engineer
Agentic AI Implementation Engineer
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Job Description
Job Title: Agentic AI Implementation Engineer
Location: Remote/Hybrid
Job Type: FullTime
Experience Level: Mid/SeniorLevel
Role Overview
We re looking for a highly skilled and visionary Agentic AI Implementation Engineer who can design build and deploy intelligent systems using Agentic RAG techniques and custom GPTs. This role will involve creating autonomous or semiautonomous agents powered by LLMs that are capable of task planning contextual decisionmaking and iterative information retrieval.
You ll work at the intersection of advanced prompt engineering tool orchestration and multistep reasoning with a strong focus on performance scalability and usercentric design.
Key Responsibilities
- Architect and implement agentic workflows using RAG pipelines LLM agents and external tool integrations.
- Design modular agentic systems that include planning memory tool use and contextaware reasoning.
- Develop and optimize custom GPTs using advanced prompt engineering and OpenAI s custom instructions functions and APIs.
- Integrate knowledge bases vector stores (e.g. FAISS Pinecone Weaviate) and APIs into a cohesive Agentic RAG architecture.
- Finetune agent behaviors for various realworld applications (e.g. customer support research assistants code agents).
- Collaborate closely with product managers UX designers and backend engineers to ship scalable and robust solutions.
- Rapidly prototype ideas run LLM experiments and iterate on designs using both quantitative and qualitative metrics.
- Monitor system performance detect and address reasoning failures hallucinations and retrieval mismatches.
- Stay updated with the latest research and advancements in Agentic AI RAG tool use and autonomous agents.
MustHave Skills
- 3 6 years of experience in software engineering ML systems or applied NLP/LLM development.
- Strong expertise in Agentic RAG frameworks such as LangGraph AutoGPT CrewAI LangChain Agents
- Proven ability to design and implement custom GPTs using advanced prompt strategies and OpenAI API (functions tools memory).
- Handson experience with vector databases (e.g. Cosmos DB Pinecone ChromaDB) embeddings and semantic search.
- Deep understanding of retrieval augmentation context compression multihop querying and memory management.
- Fluency in Python and experience with modern LLM tooling (e.g. LangChain LlamaIndex).
- Strong systems thinking and ability to balance tradeoffs between model performance latency and accuracy.
- Comfortable with fastpaced iterative environments and exploratory development.
Desired Skills
- Experience with autonomous agents and frameworks like AutoGen OpenAgents or BabyAGI.
- Understanding of AI safety ethics and control mechanisms in agentic systems.
- Familiarity with evaluation techniques for LLM pipelines (e.g. hallucination detection prompt testing frameworks).
n Deep experience in pedagogy and emerging techniques in adult skilling n Experience in the use of technology in large scale skilling efforts n Creation of highly engaging, world-class content for global audiences n Training of relevant teams on content and content delivery n Use of analytical methods to support content development and refinement n Conducting market assessments to identify best practices and gaps n Maintaining a strong network of content professionals to get real-time perspectives on opportunities and solutions Engagement with various stakeholders to learn about unique needs and considerations of sub-segments
Education
Bachelors in Technology / Masters in Technology
Employment Type
Full Time
