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AI/ML Engineer
1 month ago
Chordify
We help start-ups grow. Through offshore development services, design solutions, talent acquisition and investor readiness services.
About the role
We are seeking a seeking an AI/ML Engineer with expertise in large language models (LLMs), prompt engineering, and API integration to help build and optimize our conversational AI systems. If you have a passion for cutting-edge technology, a strong background in AI/ML, and experience working with conversational agents, we would love to hear from you
Role Title: AI/ML Engineer ( AI Agents)
Location: Trivandrum/ Remote
Experience : 5-7 Years
Contract : 6 Months (Extentable)
Educational Qualification : Bachelor / Master’s degree in CS/ME/IT
Roles & Responsibilities
· LLM Development & Prompt Engineering:
o Work with Gemini 2.0 or similar large language models to fine-tune and optimize conversational AI agents.
o Design, test, and refine prompts to enhance agent performance, ensuring the right tone, personality, and clarity in user interactions.
o Leverage LangGraph for orchestrating LLM calls and managing conversational state to create a seamless AI agent experience.
· API Integration:
o Utilize the Instagram Graph API to access and interact with user profiles, comments, direct messages (DMs), and other relevant data.
o Manage API authentication, handle rate limits, and ensure graceful error handling in interactions with the Instagram API.
· Knowledge Graph & Data Management:
o Design and manage user profiles and interaction data models for efficient storage and retrieval.
o Develop a knowledge graph to store user relationships and interactions (with experience in Neo4j a plus).
o Implement best practices for data modeling to optimize retrieval and management of user data.
· AI/ML Frameworks & Cloud Computing:
o Apply strong Python programming skills to implement AI models and integrations.
o Deploy and manage AI models on Google Cloud Platform (GCP), particularly with Vertex AI.
o Utilize Google Cloud Storage (Firestore or BigQuery) for storing and managing conversational data.
· Testing & Evaluation:
o Design and execute comprehensive tests to evaluate AI agent performance, accuracy, and ability to handle diverse scenarios.
o Monitor and track AI metrics such as user satisfaction, task completion rate, and response time to ensure optimal performance.
· Software Engineering Best Practices:
o Collaborate in code versioning using Git.
o Write clear, concise, and maintainable code documentation to support development teams.
You are close if you have
· Experience with large language models (e.g., Gemini 2.0) and prompt engineering techniques.
· Hands-on experience with LangGraph for conversational AI orchestration.
· In-depth knowledge of Instagram Graph API, including API authentication, rate limits, and error handling.
· Strong understanding of knowledge graphs and data modeling, with familiarity with Neo4j (preferred).
· Proficient in Python programming and AI/ML frameworks.
· Familiarity with Google Cloud Platform (GCP), especially Vertex AI, Firestore, and BigQuery.
· Experience in testing and evaluating conversational AI performance.
· Knowledge of Git for version control and code collaboration.
· Ability to write clear and concise code documentation.
Nice to Have
· Basic understanding of Natural Language Processing (NLP) concepts.
· Experience with other conversational AI frameworks like Dialogflow or Rasa.
