AI Solutions Architect Position

2 days ago

Allahabad, Uttar Pradesh, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

AI Solutions Developer Position

">
  • ">
  • ">Key Responsibilities:">
  • Design, develop, and deploy artificial intelligence solutions with a focus on Generative AI and Large Language Models (LLMs).">
  • Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks using frameworks like LangChain or similar.">
  • Leverage LLMs to integrate with APIs, databases, vector stores, and enterprise applications.">
  • Evaluate and implement model deployment strategies for various environments such as on-prem, cloud, serverless, or containerized.">
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.">
  • Stay updated with the latest advancements in AI, ML, and GenAI research and propose adoption of new technologies.">
  • Implement MLOps best practices for continuous training, deployment, and monitoring of models in production.">
  • Ensure responsible AI practices focusing on bias mitigation, data privacy, and compliance.">
">

Required Skills and Qualifications

">
  • ">
  • ">5+ years of experience in software development with a strong background in Python:">
  • 2+ years of hands-on experience in Generative AI and LLM-based development.">
  • Strong knowledge of AI/ML fundamentals including NLP, deep learning, embeddings, and transformers.">
  • Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar).">
  • Proven track record of delivering at least 2 production-grade LLM-based projects.">
  • Experience with LangChain, LlamaIndex, Haystack, or similar frameworks.">
  • Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma).">
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, VertexAI, Azure OpenAI).">
  • Proficiency in containerization and deployment tools (Docker, Kubernetes, CI/CD pipelines).">
  • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.">
  • Strong problem-solving, analytical, and communication skills.">
">

About this Role

">

This role requires a skilled AI solutions developer to design, develop, and deploy AI solutions with a focus on Generative AI and Large Language Models (LLMs).

">

The ideal candidate will have 5+ years of experience in software development with a strong background in Python, as well as 2+ years of hands-on experience in Generative AI and LLM-based development.

">

The successful candidate will be responsible for fine-tuning, prompt-engineering, and optimizing LLMs for domain-specific tasks, leveraging frameworks like LangChain or similar.

">

They will also collaborate with cross-functional teams to deliver end-to-end AI solutions and stay updated with the latest advancements in AI, ML, and GenAI research.

">

Benefits

">
  • ">
  • Opportunity to work on cutting-edge AI projects.">
  • Chance to collaborate with experienced professionals in the field.">
  • Professional growth and development opportunities.">
">

Others

">

This is an excellent opportunity for those passionate about AI and its applications.

"]},

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