Agentic AI Architectheu.ai • Cochin, Republic Of India, IN
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Agentic AI Architect
heu.ai • Cochin, Republic Of India, IN
7 days ago
Job descriptionBuild agent workflows using LangGraph (or similar frameworks) for stateful, multi-step reasoning. Add and manage tool integrations (APIs, vector DBs, custom functions) into agent pipelines. Ensure deterministic, safe, and traceable agent execution for real-world applications. Work with embeddings, vector DBs, retrieval pipelines, and dataset preprocessing. Evaluate and refine model outputs through prompt adjustments rather than brute-force fine-tuning. Collaborate on model selection, system design, and performance optimization. Work with engineering teams to embed agentic AI into web apps, internal tools, and customer-facing solutions. Support the creation of reusable AI modules, internal APIs, and automation assistants. Experiment with new agent frameworks, prompting techniques, and orchestration tools. Stay current with frontier models, agent systems, and best practices. Strong understanding of prompt engineering, structured prompting, and model behavior. Hands-on experience with LangGraph, LangChain, or agentic AI frameworks. Good Python skills and familiarity with API integrations. Practical experience with vector databases (Pinecone, Weaviate, Chroma, Supabase, Qdrant, etc.). Ability to design RAG workflows, tool-calling prompts, and agent reasoning flows. Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.). Solid grasp of evaluation methods for LLM outputs and prompt performance. Understanding of basic ML concepts (tokenization, embeddings, model inference, evaluation). Experience building production-grade AI assistants or multi-agent systems. Exposure to Autonomous Agents, LangGraph dynamic state machines, or tool-based agent routing. Knowledge of lightweight fine-tuning (LoRA, QLoRA, adapters) and dataset generation. Understanding of orchestration tools (n8n, make). Experience with cloud platforms (Azure, AWS, GCP).
We’re looking for a Generative AI Engineer who knows how to turn models into real-world systems—not just by fine-tuning, but by mastering prompting, template-driven workflows, and agentic AI architectures. You’ll build intelligent agents, design predictable prompt frameworks, and use tools like LangGraph to orchestrate complex, multi-step AI behaviors inside production-grade products.
Responsibilities
Prompting & Template Engineering
- Design, optimize, and maintain prompt templates, reusable prompt frameworks, and evaluation pipelines.
- Implement structured prompting patterns (chain-of-thought, RAG prompting, tool-calling prompts, guardrails, etc.).
- Build automated systems for prompt testing, versioning, and performance tracking.
Agentic AI & LangGraph Development
Data & Model Interaction
Deployment & Integration
Research & Continuous Improvement
Requirements (1–2 Years Experience in AI and Overall experience of at least 2 years)
Nice to Have
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Architect Agentic Ai • Cochin, Republic Of India, IN
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