Artificial Intelligence Engineer

Need only local candidate who are willing to come for an in-person interview in Reston officeTitle: Senior AI Software Engineer (Generative AI / AWS Bedrock)Location, Reston, VA (Hybrid – 3 Days a week)Duration: 12+ Months of ContractAbout the RoleWe are seeking a Senior AI Software Engineer to design and build production-grade AI applications powered by large language models and foundation models. In this role, you will develop scalable commercial solutions using AWS Bedrock and other AI model providers, integrating advanced AI capabilities into real-world products and platforms.You will work at the intersection of AI engineering, cloud architecture, and product development, building intelligent systems that leverage multiple foundation models for reasoning, automation, and data-driven insights.This is a hands-on role for engineers passionate about transforming cutting-edge AI capabilities into robust, scalable commercial applications.What You’ll DoTechnology Stack and AI/LLM Programming ExpertiseHands-on experience with LLM APIs or foundation modelsExperience building:RAG systemsAI copilotsconversational agentsautomated workflowsAI-driven analyticsdocument AI solutionsPythonJava / TypeScript / Go (any backend language)Design and develop production AI applications using models available via AWS Bedrock and external providersAWS BedrockAnthropic ClaudeAmazon TitanMeta LlamaCohereOpenAIOpen-source LLMsS3, API Gateway, Step Functions, Lambda / ECS / EKS, Docker / KubernetesFastAPITerraformCreate pipelines for:embeddingsdocument ingestionknowledge indexingmodel evaluationVector databases (pg-vector, S3-vector, OpenSearch, FAISS)Embeddings and semantic searchPrompt engineeringTracing, hallucination detection, cost monitoring, prompt performance, drift detectionModel evaluation frameworksExperience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworksLLM Monitoring and ObservabilityExperience with multi-model routing systemsExperience building AI agents or tool-using LLMsKnowledge of AI safety, guardrails, and prompt managementExperience deploying models with Docker and KubernetesMCP, FastMCPReinforcement LearningAWS SageMaker with MLOPsExperience with Bedrock API [Like from Lambda or Other services]Design high-performance AI APIs and microservicesOptimize latency, reliability, and cost of model inferenceImplement evaluation pipelines and monitoring for AI systemsWhat We’re Looking ForThe ideal candidate:Thinks like a systems architect and builderHas shipped real AI products to productionUnderstands tradeoffs between modelsCan design robust AI pipelinesIs comfortable working with rapidly evolving AI technologiesExample Problems You’ll Work OnBuild an enterprise knowledge assistant using BedrockCreate AI agents that automate complex workflowsDevelop document intelligence pipelines for financial or operational dataDesign multi-model orchestration frameworksOptimize LLM cost, latency, and reliabilityRequired QualificationsExperience6+ years software engineering experience3+ years building AI/ML-powered applicationsExperience deploying AI systems into production“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”