Technical Lead-AIML
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Job Description
Role: AI/ML Technical Lead
Skill Requirements
Mandatory Technical Skills
- Strong hands-on experience in Python, APIs, microservices, backend integration, modular application design, debugging, and production-grade development.
- Deep expertise in Generative AI, Large Language Models, prompt engineering, embeddings, token management, structured outputs, and LLM-based application development.
- Proficiency with agentic frameworks, including LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent orchestration tools.
- Experience integrating LLMs through cloud AI services and model APIs (AWS Bedrock, Amazon SageMaker, Azure OpenAI, Google Vertex AI, OpenAI APIs, Anthropic APIs, or open-source endpoints).
- Ability to lead technical discussions, conduct design reviews, mentor engineers, estimate work, manage technical risks, and communicate with stakeholders.
Essential Qualifications
- 5–12 years of relevant experience in GenAI development, AI engineering, Python/backend development, ML/NLP application development, enterprise automation, or technical leadership roles.
- Demonstrated hands-on experience building, integrating, evaluating, or deploying GenAI, RAG, Agentic RAG, AI assistant, chatbot, document intelligence, or automation agent solutions.
- B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, Software Engineering, or any other relevant engineering stream.
- Equivalent qualifications such as BCA / MCA / M.Tech / M.Sc. in Computer Science, Information Technology, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or related disciplines from a recognized institution.
More Info
Key Skills
embeddings
AWS Bedrock
token management
Amazon SageMaker
Azure OpenAI
cloud AI services
LangGraph
structured outputs
OpenAI APIs
Google Vertex AI
backend integration
Large Language Models
LangChain
CrewAI
Generative AI
Anthropic APIs
production-grade development
modular application design
Semantic Kernel
prompt engineering
AutoGen
model APIs
LLM-based application development
LlamaIndex
agentic frameworks
