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"software development and integration engineer" Jobs in United States

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Senior Full-stack Engineer

Luxoft ·

SeniorFull-timeOnsite

Project description Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to signif

Skills

Mandatory Skills Description: • 8+ years of professional software development experience. • Strong backend development experience with Python with a track record of clean, maintainable, testable production code. • Production API design & delivery (FastAPI preferred), including versioning, documentation (OpenAPI/Swagger), and observability. • Cloud experience (AWS preferred) beyond core compute/storage/DB—e.g., eventing, queues, serverless, logging/monitoring, secrets. • Git workflows and CI/CD pipelines • Debugging & problem-solving skills with strong ownership across the SDLC. Generative AI & ML Requirements • Experience building agents • Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). • LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/perf tuning.

Discovered 3 days ago

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Senior Full-stack Engineer

Luxoft · Los Angeles

SeniorFull-timeOnsite

Project description Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to signif

Skills

Mandatory Skills Description: • 8+ years of professional software development experience. • Strong backend development experience with Python with a track record of clean, maintainable, testable production code. • Production API design & delivery (FastAPI preferred), including versioning, documentation (OpenAPI/Swagger), and observability. • Cloud experience (AWS preferred) beyond core compute/storage/DB—e.g., eventing, queues, serverless, logging/monitoring, secrets. • Git workflows and CI/CD pipelines • Debugging & problem-solving skills with strong ownership across the SDLC. Generative AI & ML Requirements • Experience building agents • Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). • LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/perf tuning.

Discovered 3 days ago

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Data/AI engineer with Python

Luxoft · Los Angeles

SeniorFull-timeOnsite

Project description Build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototyp

Skills

10+ years of professional software development, including 5+ years of data engineering experience. Advanced proficiency in Python, including experience building scalable backend services and data processing solutions. Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures Experience working with relational databases and modern data storage technologies, including graph, vector, or analytical data platforms. Practical experience building and deploying AI/LLM-enabled applications in production environments. Experience with LangGraph, LangChain, agentic workflows, or orchestration frameworks for AI applications; evaluations. Familiarity with modern AI tooling and workflows, including and AI-assisted software engineering practices. Experience operating in agile delivery environments. Strong communication skills and ability to interact efficiently with various stakeholder groups including business users.

Discovered 2 weeks ago

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Data/AI engineer with Python

Luxoft ·

SeniorFull-timeOnsite

Project description Build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototyp

Skills

10+ years of professional software development, including 5+ years of data engineering experience. Advanced proficiency in Python, including experience building scalable backend services and data processing solutions. Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures Experience working with relational databases and modern data storage technologies, including graph, vector, or analytical data platforms. Practical experience building and deploying AI/LLM-enabled applications in production environments. Experience with LangGraph, LangChain, agentic workflows, or orchestration frameworks for AI applications; evaluations. Familiarity with modern AI tooling and workflows, including and AI-assisted software engineering practices. Experience operating in agile delivery environments. Strong communication skills and ability to interact efficiently with various stakeholder groups including business users.

Discovered 2 weeks ago

Apply

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