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Internship Kernel Trading Technologies Jobs in Delaware

Photon

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

Must-Have Qualifications * 6+ years in software engineering, with 2+ years as a tech lead owning ... Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.

All JobsKernel Trading Technologies JobsInternship Kernel Trading Technologies JobsInternship Kernel Trading Technologies Jobs in Delaware

Internship Kernel Trading Technologies information

What are Internship Kernel Trading Technologies roles?

Internship Kernel Trading Technologies roles typically involve assisting in the development and optimization of software for high-frequency or algorithmic trading platforms. Interns may work on tasks such as coding trading algorithms, enhancing system performance, or analyzing market data under the supervision of experienced engineers and traders. These internships offer hands-on experience with financial technologies and exposure to both software engineering and trading strategies. Candidates often have strong programming skills and an interest in finance or quantitative analysis.

What is the difference between Internship Kernel Trading Technologies vs Trading Analyst Intern?

AspectInternship Kernel Trading TechnologiesTrading Analyst Intern
Required CredentialsBasic knowledge of trading platforms, programming skillsRelevant finance or economics coursework, some programming
Work EnvironmentFast-paced trading firms, tech-driven environmentFinancial institutions, trading floors, or tech companies
Employer & Industry UsageUsed in trading technology firms and hedge fundsCommon in investment banks and trading firms

Internship Kernel Trading Technologies typically focuses on technical skills related to trading systems and programming, often within tech-driven trading firms. Trading Analyst Internships are more finance-oriented, emphasizing market analysis and trading strategies. Both roles serve as entry points into trading industries but differ in technical focus and work environment.

What types of projects and tasks can an intern expect to work on at Kernel Trading Technologies?

As an intern at Kernel Trading Technologies, you can expect to work on a variety of hands-on projects that may include developing trading algorithms, optimizing code for low-latency performance, and analyzing market data. Interns typically collaborate closely with experienced quantitative analysts, software engineers, and traders, gaining exposure to the full trading technology stack. This role offers a dynamic environment where you'll be tasked with problem-solving and contributing to live trading systems, providing valuable real-world experience and learning opportunities.

What are the key skills and qualifications needed to thrive as an Internship Kernel Trading Technologies, and why are they important?

To thrive as an intern at Kernel Trading Technologies, a strong foundation in quantitative analysis, programming (especially in Python or C++), and a background in finance, mathematics, or computer science is essential. Familiarity with trading platforms, financial modeling tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication help interns excel in a team-oriented and fast-paced environment. These skills are crucial for supporting trading strategies, ensuring technical accuracy, and contributing to the firm's competitive edge.
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Internship Kernel Trading Technologies jobs near you
Infographic showing various Internship Kernel Trading Technologies job openings in Delaware as of July 2026, with employment types broken down into 2% Internship, 74% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Tech Lead / Lead Architect - RAG and Agentic AI

HAGNOS TECH LLC

Wilmington, DE • On-site

$53.50 - $73.50/hr

Other

Posted 26 days ago

Job description

Job Title: Tech Lead / Lead Architect – RAG & Agentic AI
Location: Columbus, OH/ Wilmington, DE – 3 days onsite role
Local candidate: locals only
Duration: Long Term Project
Interview Mode: Phone + video
Visa: H1B
 
Role Summary:
Lead architecture, design, and delivery of Agentic AI and RAG-based solutions, partnering with customers and internal teams to build scalable, secure, and high-impact AI systems.
Must-Have:
  1. Strong experience in RAG pipelines, embeddings, vector DBs, LLM orchestration, and prompting techniques.
  2. Hands-on expertise in AWS (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets Manager).
  3. Ability to design end-to-end AI architecture and build PoCs before committing solutions to customers.
  4. Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud security patterns.
  5. Proven ability to lead from the front, mentor teams, and own delivery under tight timelines and high visibility.
  6. Strong customer communication skills – ability to explain architecture, trade-offs, and risks clearly.
  7. Experience handling model evaluation, observability, performance tuning, and cost optimization in production AI systems.
  8. Expertise in API design, microservices integration, and event-driven architectures for AI systems.
Good-to-Have:
  1. Experience with Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).
  2. Exposure to marketing domain use cases (campaign optimization, personalization, analytics, insights).
  3. Familiarity with multi-agent orchestration, tool usage (MCP), and human-in-loop workflows.

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