Artificial Intelligence Engineer

This role focuses on developing Python-based, cloud-native applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI workflows, and modern orchestration frameworks such as LangChain and LangGraph to automate manual analysis, understand customer intent, and intelligently guide users to the appropriate cryptographic service

s. The ideal candidate has strong hands-on experience building production-grade GenAI applications, integrating AI orchestration frameworks, vector search systems, and secure cloud-native microservices in AWS environmen

ts. Key Responsibili

• tiesDesign and develop Python-based AI applications and microservices to automate internal customer engagement, onboarding, and service triage workfl
• ows.Build and deploy GenAI-powered solutions using LLMs, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectu
• res.Design and implement agentic AI workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent orchestration framewo
• rks.Develop intelligent assistants capable of understanding natural language requests, reasoning across enterprise knowledge, and recommending appropriate cryptographic servi
• ces.Build and maintain document ingestion pipelines, chunking strategies, embedding workflows, vector indexing, and contextual retrieval systems for enterprise knowledge acc
• ess.Implement multi-step AI orchestration pipelines, including planning, tool calling, memory/context handling, and workflow execut
• ion.Integrate AI solutions with AWS Bedrock or equivalent foundation model platforms, including model selection, prompt optimization, and inference orchestrat
• ion.Develop and maintain cloud-native microservices using AWS services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and event-driven architectu
• res.Automate manual analysis, routing, and triage processes using a combination of AI/ML models, deterministic logic, and workflow automat
• ion.Collaborate with product, architecture, security, and compliance teams to translate business and regulatory requirements into scalable technical soluti
• ons.Monitor, troubleshoot, and optimize production AI workloads for latency, hallucination control, reliability, observability, and cost efficie

We are seeking a Software Engineer with 5+ years of experience to design and build AI-driven automation platforms that enhance internal customer engagement and streamline onboarding into enterprise cryptographic services, 5+ years of professional software engineering experience in backend, cloud-native, AI/ML, or platform engine

• ering.Strong Python development expertise with frameworks such as FastAPI, Flask, or similar backend frame
• works.Hands-on experience building production GenAI applications, not just experimentation or
• POCs.Strong experience with LangChain, LangGraph, LlamaIndex, or comparable AI orchestration frame
• works.Experience designing and implementing RAG architectures, including ingestion, chunking, embeddings, retrieval optimization, and grounding strat
• egies.Hands-on experience with vector databases such as Pinecone, FAISS, Redis, pgvector, OpenSearch, Weaviate, or si
• milar.Experience building agentic workflows, tool-calling systems, memory/context management, and autonomous decision work
• flows.Solid understanding of prompt engineering, LLM behavior, hallucination mitigation, output validation, and response grounding techn
• iques.Experience integrating with AWS Bedrock, OpenAI APIs, Anthropic, or equivalent LLM plat
• forms.Strong AWS cloud experience, especially with Lambda, ECS/EKS, S3, DynamoDB, API Gateway, IAM, CloudWatch, and serverless architec
• tures.Experience with Docker, Kubernetes, GitHub Actions, CI/CD pipelines, and infrastructure automation (CloudFormation/CDK/Terra
• form).Understanding of distributed systems, API design, event-driven architectures, and microser
• vices.Experience working in security-sensitive, compliance-heavy, or enterprise regulated environments pref, * to HaveExperience in cryptography, PKI, certificate management, enterprise security services, or cybersecurity pla
• tforms.Exposure to MCP (Model Context Protocol), custom AI tool integrations, or enterprise AI agent fram
• eworks.Experience implementing AI observability, evaluation pipelines, or model performance moni
• toring.Familiarity with secure AI governance and responsible AI pra