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Engineers Usa Jobs (NOW HIRING)

Indicium AI

AI Engineers - USA

New York, NY

$134K - $176K/yr

About the Opportunity We're seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role sits at the intersection of ...

Indicium AI

AI Engineers - USA

New York, NY

$134K - $176K/yr

About the Opportunity We're seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role sits at the intersection of ...

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Engineers Usa information

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$101.8K

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How much do engineers usa jobs pay per year?

As of Jun 23, 2026, the average yearly pay for engineers usa in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are some common challenges engineers in the USA face when working on multidisciplinary project teams?

Engineers in the USA often collaborate with professionals from various disciplines, such as design, project management, and manufacturing. One common challenge is ensuring effective communication across teams with different technical backgrounds and terminologies. Balancing project timelines, resource allocation, and adapting to evolving client requirements also requires flexibility and strong problem-solving skills. Building strong relationships and proactively addressing misunderstandings can help engineers succeed in these dynamic, collaborative environments.

What is the difference between Engineers Usa vs Mechanical Engineers?

AspectEngineers UsaMechanical Engineers
Required CredentialsBachelor's degree in engineering, licensure varies by stateBachelor's degree in mechanical engineering, licensure often required for certain roles
Work EnvironmentDesign firms, manufacturing, consulting, government agenciesManufacturing plants, design firms, research and development
Industry UsageBroadly used across multiple engineering disciplinesSpecialized in mechanical systems, machinery, and thermal systems

Engineers Usa and Mechanical Engineers share foundational engineering credentials and often work in similar environments. However, Engineers Usa typically refers to a broader category of engineering professionals across various disciplines, while Mechanical Engineers focus specifically on mechanical systems and design. Both roles require relevant degrees and may require licensure, depending on the job and location.

What are the key skills and qualifications needed to thrive as an Engineer in the USA, and why are they important?

To thrive as an Engineer in the USA, you generally need a relevant engineering degree (such as in civil, mechanical, electrical, or software engineering) and strong analytical and problem-solving skills. Familiarity with industry-standard tools like AutoCAD, MATLAB, or SolidWorks, and certifications such as a Professional Engineer (PE) license, are often required. Exceptional communication, teamwork, and adaptability help engineers effectively collaborate and innovate within diverse project teams. These competencies are vital for designing reliable solutions, ensuring regulatory compliance, and achieving project success in a competitive environment.

What do engineers in the USA do?

Engineers in the USA design, build, and maintain a wide range of structures, systems, and technologies that support society, such as bridges, software, medical devices, and energy systems. Their work involves problem-solving, innovation, and collaboration across many industries, including aerospace, civil, mechanical, electrical, and computer engineering. They often use advanced mathematics and technology to develop solutions that improve efficiency, safety, and quality of life. In addition to technical expertise, engineers in the USA typically adhere to ethical standards and safety regulations while working on projects. The field offers diverse career paths, ongoing learning opportunities, and the chance to make a significant impact on the world.
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Engineers Usa jobs near you
Infographic showing various Engineers Usa job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineers - USA

Indicium AI

New York, NY

$134K - $176K/yr

Other

Posted 14 days ago

Job description

About Indicium AI 

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global, AI-native consultancy with deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing - guiding organizations from strategy through build to measurable business outcomes.

With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed, clarity, and lasting impact.

About the Opportunity

We're seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. 

You'll work with cutting-edge LLM technologies, building advanced AI systems that solve complex real-world problems through multi-agent orchestration, intelligent tool integration, and robust production workflows. 

You'll be crafting the orchestration layer that makes these systems production-ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale.

You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non-deterministic systems that users can trust.

Key Responsibilities
  • Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks.
  • Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability
  • Build and maintain production-grade AI applications with clean code, appropriate error handling, APIs, and data pipelines
  • Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE)
  • Implement feedback loops and observability to continuously improve system performance
  • Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations
Preferred Qualifications
  • Hands-on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes
  • Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering
  • Experience building multi-step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed
  • Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure)
  • Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines
  • Solid foundations and understanding of production-grade, cloud-native platform and infrastructure requirements, design, and implementation.
  • Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM-based systems
  • Ability to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs
Nice to Haves
  • Experience with AI-assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot
  • Experience with fine-tuning LLMs for domain-specific applications and knowledge of when fine-tuning is preferable to prompt engineering or RAG
  • Experience with real-time streaming, multimodal models, or search technologies like Elasticsearch
  • Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies
  • Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices
  • Experience with setting up tool calling agents, handoffs, and guardrails
Why Indicium AI 
  • Work on AI projects that actually transform the world's largest enterprises
  • Use cutting-edge AI tools and technologies every single day
  • Collaborate with global teams on high-impact, real-world solutions
  • Be backed by a supportive team that's genuinely in your corner
  • Benefit from serious investment in your learning and career growth
  • Earn competitive compensation and benefits
  • Enjoy company events and gatherings that bring the global team together
  • Join a fast-growing company where ambitious careers thrive

Apply