AI Engineer

Company Description:

Anaya IT Services, based in Akola, Maharashtra, India, is dedicated to driving innovation and delivering custom IT solutions for businesses. Specializing in cloud computing, software development, we simplify technology for our clients and align solutions with their strategic goals.

Work Mode: Remote

We're seeking a Freelance AI Engineer to help us build and deploy next-gen Generative AI solutions. If you're a Python expert with hands-on experience in LLMs, NLP, and cutting-edge AI frameworks, this is your chance to contribute to exciting real-world projects — all while working flexibly, from anywhere.

Responsibilities:

• Design, develop, and deploy AI/ML models into production environments.
• Build and integrate LLM-powered applications using frameworks like LangChain, LlamaIndex.
• Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Fine-tune and optimize models for efficiency, accuracy, and scalability.
• Collaborate with cross-functional teams (Product, Engineering, Data Science) to define and deliver AI-driven solutions.
• Stay ahead of the latest AI research and apply innovation into real-world applications.
• Mentor junior engineers and contribute to coding best practices.
• Deliver high-quality, well-documented code within project timelines.

Core Skills:

• Python (5+ years) with strong ML/AI fundamentals
• Experience with PyTorch, TensorFlow.
• Proven experience with LLMs (GPT, Claude, LLaMA, Mistral, Falcon, etc.).
• Experience with LangChain, LlamaIndex, RAG pipelines and prompt engineering.
• Strong background in NLP, Generative AI, and deep learning.
• Knowledge of data engineering, APIs, and vector databases.
• Familiarity with MLOps & cloud platforms (AWS, GCP, Azure, SageMaker, Vertex AI).
• Experience with Docker, Kubernetes, CI/CD pipelines.
• Problem-solving mindset, analytical skills, and strong communication.
• Independent, self-driven, and able to deliver in a remote, freelance setup.

Qualification:

• 5–8 years of AI/ML engineering experience (with at least 1–2 years in LLMs/Generative AI).
• Proven track record of deploying AI-powered solutions into production.
• Prior freelance or contract work experience (preferred).
• Portfolio, GitHub, or demos of deployed AI/LLM projects (highly valued).