APPLICATION DEVELOPER

Role Overview :

• The Senior Tech Lead - AWS AI (Anthropic) will be responsible for driving the development and deployment of AI / ML solutions using AWS-native services, particularly leveraging Amazon Bedrock and Claude by Anthropic.
• The role demands a hands-on technical leader who can guide engineering teams, collaborate with architects, and translate solution blueprints into high-quality implementations.
• The ideal candidate is expected to bring strong experience in delivering GenAI solutions, coding expertise in Python, and a deep understanding of AWS AI / ML services.

Key Responsibilities :

• Lead technical implementation of AI solutions using AWS Bedrock (Claude, Titan), Amazon SageMaker, Lambda, and other AWS-native services.
• Translate high-level solution designs into detailed technical tasks and oversee delivery across engineering teams.
• Develop and optimize prompts, fine-tune models, implement RAG patterns, and integrate vector search solutions (e.g., OpenSearch, Pinecone).
• Build scalable and secure APIs to expose GenAI capabilities to enterprise applications.
• Design and implement end-to-end ML pipelines using SageMaker, Step Functions, and MLOps best practices.
• Ensure compliance with AWS security best practices including IAM roles, data encryption, and responsible AI principles.
• Collaborate closely with solution architects, product owners, and DevOps teams for successful deployment and monitoring.
• Support PoCs and pilots, ensuring timely delivery, performance benchmarks, and smooth handover to production.
• Mentor junior engineers, promote clean coding practices, and contribute to reusable code assets and internal GenAI accelerators.

Required Skills and Competencies :

• Strong hands-on experience with Amazon Bedrock and Claude models (prompt tuning, RAG, embeddings).
• Proficiency in Python and cloud-native development using RESTful APIs, AWS SDKs, and event-driven patterns.
• Deep knowledge of Amazon SageMaker (model training, deployment, tuning, pipelines).
• Experience implementing vector search, embedding pipelines, and prompt engineering strategies.
• Familiarity with LangChain, Haystack, or equivalent GenAI orchestration frameworks.
• Knowledge of AWS services including Lambda, API Gateway, Step Functions, DynamoDB, and IAM.
• Exposure to model evaluation, cost-performance optimization, and real-time inference patterns.

Desirable Qualifications :

• AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect - Associate / Professional.
• Experience with CI / CD pipelines, model versioning, and infrastructure-as-code using CDK or Terraform.
• Knowledge of GenAI applications such as chatbots, summarization tools, code assistants, and content generation.
• Exposure to third-party models (e.g., Cohere, Stability AI) integrated via AWS Marketplace.

Soft Skills :

• Strong problem-solving and debugging skills with a bias for action.
• Excellent verbal and written communication; able to explain complex technical concepts clearly.
• Leadership mindset with the ability to coordinate across distributed teams.
• Adaptability and enthusiasm for learning new GenAI tools and technologies in a fast-paced environment.

Skills Required

Application Development, Python, Aws