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:

Freelance AI Engineer

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).