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You will be updated with latest job alerts via emailResponsibilities:
AI/ML Solution Development: Design develop and deploy AI/ML technology stacks from concept to production and deployment
Technical Leadership: Provide technical leadership and mentorship to junior engineers guiding them in best practices and advanced techniques.
Develop and optimize Generative AI workflows including prompt engineering fine-tuning RAG and LLM-based applications.
Work with Large Language Models (LLMs) such as Claude Llama Mistral and GPT ensuring efficient adaptation for various use cases.
Design and implement AI-driven automation using agentic AI systems and orchestration frameworks like Autogen LangGraph and CrewAI.
Leverage cloud AI infrastructure (AWS Azure GCP) for scalable deployment and performance tuning.
Collaborate with cross-functional teams to deliver AI-driven solutions.
Front ending customer discussions customer engagement and success stories
Collaborate with stakeholders to gather requirements and translate them into technical specifications
Bachelor s in computer science Engineering or a related field
Overall 7 year s experience in software engineering with 2 years of experience in AI/ML with expertise in Generative AI and LLMs
Experience with AWS Bedrock or Azure OpenAI studio or similar enterprise AI environments
Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow
Experience with containerization (e.g. Docker Kubernetes) version control systems (e.g. Git) and software development methodologies (e.g. Agile Scrum)
Knowledge of advanced prompt engineering techniques
Experience in AI workflow automation and model orchestration
Hands-on experience with API development using Flask or Django
Full Time