Mid/Senior AI Developer

Inovola

Job Description

Roles & Responsibilities

Desired Candidate Profile

We are looking for a talented AI Engineer with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.

You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.

Required Skills:

• Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
• Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
• Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
• Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
• Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
• Knowledge of LLM evaluation, prompt optimization, and context management strategies.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

Preferred Qualifications:

• Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
• Understanding of generative AI models for text, image, or multimodal outputs.
• Familiar with traditional ML and computer vision.
• Strong problem-solving, collaboration, and communication skills.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of hands-on experience in AI/ML model development and deployment.