Job Description
Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.
Responsibilities
We are looking for experienced AI / GenAI Engineers with hands-on expertise in building and deploying Generative AI solutions using AWS Bedrock and related AWS AI services.
Required Skills
6–8 years of software engineering experience.
Strong experience in Generative AI, LLMs, RAG, Prompt Engineering.
Hands-on experience with AWS Bedrock.
Experience integrating foundation models such as Claude, Llama, Titan, etc.
Strong knowledge of Python and API development.
Experience building AI-powered applications, chatbots, copilots, or intelligent automation solutions.
Knowledge of vector databases, embeddings, and retrieval mechanisms.
Experience with AWS services such as Lambda, S3, API Gateway, ECS/EKS, CloudWatch, etc.
Understanding of AI model deployment, monitoring, and optimization.
Responsibilities
Design and develop GenAI applications using AWS Bedrock.
Integrate LLMs into enterprise applications.
Build scalable AI solutions and APIs.
Work on prompt engineering, RAG frameworks, and model optimization.
Collaborate with architects and business teams to deliver plug-and-play AI solutions.
Ensure security, scalability, and performance of AI workloads.
Nice to Have
Experience with LangChain, LangGraph, LlamaIndex, Pinecone, Weaviate, or OpenSearch.
Exposure to MLOps and AI deployment pipelines.
AWS Certifications preferred.[Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.]
Example: Determine and develop user requirements for systems in production, to ensure maximum usability
Qualifications
[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]
Example: Excellent verbal and written communication skills
Skills: llm,aws bedrock,gen ai,python,rag
