AI/ML Software Engineer

• Design, develop, and deploy scalable Full Stack and Agentic AI applications.

• Build AI agents, multi-agent workflows, RAG pipelines, and LLM-powered applications.

• Develop backend services and APIs using Java and/or Python.

• Build modern frontend applications and integrate them with AI/ML services.

• Implement RAG solutions using chunking, embeddings, vector databases, and retrieval techniques.

• Work with AWS Bedrock and Anthropic Claude models and APIs.

• Use AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI.

• Develop conversational AI solutions, including text chatbots and voice-enabled applications.

• Apply prompt engineering techniques including system prompts, few-shot prompting, tool calling, and structured outputs.

• Build scalable microservices and event-driven architectures using AWS services.

• Implement CI/CD, Docker, Kubernetes/EKS/ECS, and Infrastructure as Code.

• Develop and integrate REST and GraphQL APIs.

• Implement LLM evaluation, observability, guardrails, content filtering, and responsible AI practices.

The ideal candidate will have strong software engineering and full-stack development experience, along with hands-on expertise in Generative AI, Agentic AI, RAG, LLMs, and conversational AI. Candidates with 7+ years of software development experience are encouraged to apply, provided their background strongly aligns with Full Stack and Agentic AI development., * 7+ years of hands-on software development experience.

• Strong proficiency in Java and/or Python.

• Hands-on production experience with Generative AI, LLMs, and Agentic AI.

• Strong experience with RAG architectures, embeddings, chunking, and vector databases.

• Experience with one or more of:

• LangChain

• LlamaIndex

• Semantic Kernel

• CrewAI

• Hands-on experience with AWS Bedrock and Anthropic Claude.

• Strong understanding of prompt engineering and LLM application development.

• Experience with REST APIs, microservices, and event-driven systems.

• Experience with AWS services including:

• Lambda

• Step Functions

• API Gateway

• S3

• DynamoDB

• SQS

• Experience with Docker, Kubernetes/EKS/ECS, CI/CD, and Infrastructure as Code.

• Experience building conversational AI, chatbots, or voice-enabled AI applications.

Requirements Preferred Qualifications

• Experience with Pinecone, OpenSearch, pgvector, or FAISS.

• Experience with LLM evaluation and observability frameworks.

• Experience implementing AI guardrails, content filtering, and responsible AI practices.

• Experience integrating speech-to-text and text-to-speech technologies.

• Financial services or banking industry experience.

• Experience working in enterprise-scale and highly regulated environments.