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AI Solutions Engineer

3 weeks ago


Aurangabad, Maharashtra, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 25,00,000

Artificial Intelligence Developer - AI Innovations

We are a dynamic startup building scalable AI solutions for networking and intelligent systems. As part of our group, you'll work in a hands-on environment where character and technical expertise matter.

This is a motivated role for an AI developer with strong technical depth. You will design, build, and deploy AI solutions across NLP, Generative AI, and Intelligent Networking while contributing to product roadmaps and client discussions.

You will thrive in fast-moving environments, enjoy solving problems end-to-end, and want to directly shape the future of AI solutions.

Key Responsibilities:

  • Design, train, and fine-tune models (NLP, LLMs, multimodal, RL).
  • Optimize deep neural networks and transformer architectures.
  • Deploy and scale models via Docker/Kubernetes, REST/gRPC APIs.
  • Preprocess and clean structured/unstructured data for production.
  • Build robust pipelines (Airflow, Spark, or custom ETL).
  • Implement advanced feature extraction and dimensionality reduction.
  • Stay on top of AI trends (GenAI, RAG, multimodal learning, prompt engineering).
  • Experiment and bring forward practical innovations to products.
  • Document learnings via internal knowledge bases, blogs, or POCs.
  • Work closely with product owners, researchers, engineers, and client-facing teams.
  • Take ownership of technical discussions with clients when needed.
  • Mentor junior engineers as the team scales.

What You'll Gain:

  • Impact: Build products with real-world adoption across industries.
  • Growth: Direct visibility with leadership, opportunities to shape the AI roadmap.
  • Exposure: Cutting-edge frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, VertexAI).
  • Ownership: Take responsibility for projects end-to-end, with career progression into lead/architect roles.
  • Culture: A collaborative, character-first team where initiative and curiosity are celebrated.

Requirements:

  • 3–5 years of hands-on AI/ML experience (model development + deployment).
  • Proficiency in Python and modern frameworks (PyTorch, TensorFlow, JAX, VertexAI).
  • Experience with NLP, Generative AI, Reinforcement Learning.
  • Familiarity with model serving, cloud platforms (Any one cloud from AWS/GCP/Azure).
  • Knowledge of vector databases, embeddings, RAG pipelines.
  • Strong problem-solving mindset, willingness to solve complex problems.