Generative AI Engineer

Job Title: Generative Ai Engineer

Skills: Generative AI, python Agentic Ai

Experience: 6- 15 Years

Location: Update here

Notice Period: Only Immediate Joiners

Coforge is looking for a Generative AI Python Lead / Principal Specialist Engineer with 6+ years of experience to design, build, and scale Traditional AI/ML and Generative AI solutions. The role demands strong architecture-level thinking, hands-on development, and technical leadership across GenAI initiatives. The candidate should have deep expertise in Python, statistics, large-scale data processing, and cloud-based AI services, along with a proven ability to deliver enterprise-grade GenAI solutions.

Technical Skills:

Total Experience: 6+ years overall, with extensive hands-on experience designing and deploying AI/ML and Generative AI solutions using industry tools, platforms, and Azure Cognitive Services

4+ years of deep hands-on experience in data collection, data mining, preprocessing, and analysis of large-scale structured and unstructured datasets

Strong expertise in Large Language Models (LLMs, LSTMs, BERT, Transformer-based models) capable of complex reasoning, fewshot and zeroshot learning, and Chain-of-Thought (CoT) prompting

Proven experience in architecting, building, customizing, and finetuning LLMs using GenAI platforms such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI for scalable PoCs and production systems

3+ years of hands-on experience working with Generative AI technologies and enterprise GenAI use cases

Advanced proficiency with LLM orchestration and application frameworks:

• Hugging Face Transformers
• LangChain
• LlamaIndex
• OpenAI API / Azure OpenAI
• Strong expertise in prompt engineering, embeddings, model fine-tuning, evaluation, and guardrails
• Deep knowledge of vector databases and semantic search technologies such as FAISS, Pinecone, Weaviate, Azure AI Search
• 6+ years of professional Python development experience, with strong mastery of:
• Python design patterns
• Asynchronous programming
• Performance optimization
• Scalable backend architectures
• Hands-on experience building productiongrade REST APIs using FastAPI or Flask
• Strong experience with Git, CI/CD pipelines, code reviews, and MLOps workflows
• Exposure to Java or .NET is an added advantage
• Extensive experience applying classical and advanced machine learning algorithms endtoend
• Strong background in Data Science and Data Engineering, leveraging both open-source frameworks and cloud-native AI/ML platforms, especially Azure Machine Learning and Azure Cognitive Services
• Deep understanding of Azure Cognitive Services such as Vision, Speech, Language, Decision, and Search, including real-world implementation patterns
• Expertise across completions, embeddings, fine-tuning, transcriptions, translations, moderation, and evaluation for LLMs on Azure OpenAI, AWS Bedrock, or GCP Vertex
• Must have successfully delivered 35+ enterprise-scale GenAI projects using Azure OpenAI / Bedrock / Vertex AI
• Strong foundation in NLP and text representation techniques (n-grams, bag of words, sentiment analysis, topic modeling), statistics, and classification algorithms