Talent.com
Generative AI Systems Engineer

Generative AI Systems Engineer

heu.aiCochin, Republic Of India, IN
3 days ago
Job description

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

  • Build 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.

    • Data & Model Interaction

  • 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.

    • Deployment & Integration

  • 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.

    • Research & Continuous Improvement

  • Experiment with new agent frameworks, prompting techniques, and orchestration tools.
  • Stay current with frontier models, agent systems, and best practices.

    • Requirements (1–2 Years Experience in AI and Overall experience of at least 2 years)

  • 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).

    • Nice to Have

  • 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).
    • Create a job alert for this search

    Generative Ai Engineer • Cochin, Republic Of India, IN