AI Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Create, develop, and implement sophisticated AI solutions with an emphasis on generative capabilities and conversational AI.

• Construct context-aware, autonomous AI agents utilizing modern frameworks to address intricate business logic and streamline workflows.

• Collaborate with data engineers to prepare and curate extensive datasets for model training and evaluation.

• Experiment with cutting-edge machine learning algorithms and refine foundation models for production readiness.

• Design and deploy scalable, production-ready AI pipelines.

• Assess and enhance the performance of AI models to fulfill business objectives.

• Keep abreast of the latest developments in GenAI, LLMs, and agentic systems, proposing innovative solutions to elevate products.

⛳️ Requirements

• Education: Bachelor's, Master's, or PhD in Computer Science, Data Science, or a related discipline.

• Experience: 3 to 6 years of professional background in developing ML/AI models with a focus on contemporary LLM implementations.

• Technical Skills:

• ○ Strong expertise in Python alongside experience with advanced AI/LLM ecosystem libraries (e.g., transformers, vLLM, accelerate, PEFT/LoRA, or DSPy).

• ○ Experience in creating and deploying RESTful APIs using FastAPI or Flask to serve AI models in a production environment.

• ○ Proficient in building applications utilizing LLMs (e.g., Gemini, GPT-4, Claude) and modern orchestration frameworks such as LangChain or LlamaIndex.

• ○ Practical experience with contemporary developer tools, including the Google AI SDK and OpenAI SDK, N8N.

• ○ In-depth knowledge of AI agentic frameworks (e.g., LangGraph, AutoGen, CrewAI) and orchestrating multi-agent systems.

• ○ Familiarity with vector databases, Retrieval-Augmented Generation (RAG) pipelines, and modern backend-as-a-service platforms like Supabase.

• ○ Understanding of the Model Context Protocol (MCP) for securely connecting AI models with external data sources and tools.

• ○ Experience in developing and fine-tuning deep learning models using TensorFlow or PyTorch.

• ○ Awareness of cloud platforms (AWS, Azure, or GCP) for deploying ML models.

• Soft Skills:

• ○ Strong problem-solving skills and analytical mindset.

• ○ Exceptional communication abilities to effectively convey complex concepts.

• ○ Capacity to work collaboratively in a team-oriented environment.

• Preferred Qualifications:

• ● Familiarity with advanced prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct) is highly desirable.

• ● Experience in fine-tuning large language models (LLMs) for specific domain tasks.

• ● Exposure to multimodal learning (integrating vision and language models).

• ● Knowledge of LLMOps/MLOps practices, including containerization and CI/CD pipelines.

• ● Publications or contributions to open-source projects in contemporary AI fields.

🏝️ Benefits

• Competitive salary and performance-related bonuses.

• Opportunity to engage in exciting, innovative projects.

• Flexible working hours within a collaborative environment.

• Professional development opportunities through training and mentorship.

• Health insurance, learning budgets, among other benefits.

• Provision of a MacBook to enhance work efficiency and productivity.

• Disconnect Week during the Christmas to New Year period.