Artificial Intelligence Engineer

JOB POSITION

Generative

JOB RESPONSIBILITY

• 5 + Years of exp in developing and implementing Gen AI solutions.
• Lead end-to-end development of Gen AI solutions including model selection, fine-tuning, and deployment.
• Collaborate with cross-functional teams (Product, Engineering, Data Science) to identify use cases and deliver scalable Gen AI applications.
• Architect and implement solutions using LLMs (e.g., GPT, LLaMA, Claude), multimodal models, and custom pipelines.
• Drive prompt engineering, model evaluation, and performance optimization.
• Ensure ethical AI practices, data privacy, and responsible model usage.
• Mentor junior team members and contribute to building a Gen AI Center of Excellence.
• Strong expertise in

  Python

  ,

  PyTorch

  ,

  TensorFlow

  , and

  Hugging Face Transformers

  .
• Hands-on experience with

  LLMs

  ,

  diffusion models

  ,

  GANs

  , or

  multimodal AI

  .
• Deep understanding of

  NLP

  ,

  computer vision

  , and

  generative modeling techniques

  .
• Experience with

  cloud platforms

  (AWS, Azure, GCP) and

  MLOps

  tools.
• Familiarity with

  vector databases

  ,

  RAG pipelines

  , and

  LangChain

  or similar frameworks.
• Proven track record of delivering Gen AI solutions in production.
• Excellent communication and stakeholder management skills.

QUALIFICATION

• Masters in Computer Science, AI/ML, or related field.
• Experience in domain-specific Gen AI applications (e.g., healthcare, finance, retail).

EXPERIENCE

• 5 + Years of exp in developing and implementing Gen AI solutions.
• Lead end-to-end development of Gen AI solutions including model selection, fine-tuning, and deployment.
• Collaborate with cross-functional teams (Product, Engineering, Data Science) to identify use cases and deliver scalable Gen AI applications.
• Architect and implement solutions using LLMs (e.g., GPT, LLaMA, Claude), multimodal models, and custom pipelines.
• Drive prompt engineering, model evaluation, and performance optimization.
• Ensure ethical AI practices, data privacy, and responsible model usage.
• Mentor junior team members and contribute to building a Gen AI Center of Excellence.
• Strong expertise in

  Python

  ,

  PyTorch

  ,

  TensorFlow

  , and

  Hugging Face Transformers

  .
• Hands-on experience with

  LLMs

  ,

  diffusion models

  ,

  GANs

  , or

  multimodal AI

  .
• Deep understanding of

  NLP

  ,

  computer vision

  , and

  generative modeling techniques

  .
• Experience with

  cloud platforms

  (AWS, Azure, GCP) and

  MLOps

  tools.
• Familiarity with

  vector databases

  ,

  RAG pipelines

  , and

  LangChain

  or similar frameworks.
• Proven track record of delivering Gen AI solutions in production.
• Excellent communication and stakeholder management skills.
• Experienced in providing technical solutions and working closely with architecture and dev teams to derive the desired outcome.
• Strong SQL skills.
• Should be well versed with agile framework like Kanban, Scrum, and SAFe (Optional)

SKILLS AND COMPETENCIES

LLM, ML, NLP, Python, AWS, Snowflake, SQL