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Urgently Hiring Python Llm Jobs in Connecticut (NOW HIRING)

AGENTIC SOLUTIONS ENGINEER Agentic Solutions Engineer About the Role We're hiring an Agentic ... Write Python integrations with LLM providers (Anthropic, AWS), marketing platform APIs (Meta ...

About the Role We're hiring an Agentic Solutions Engineer to be the hands‑on technical backbone ... Write Python integrations with LLM providers (Anthropic, AWS), marketing platform APIs (Meta ...

... Python, TypeScript, or Rust * Experience with AI/ML frameworks, LLM technologies, and data ... The below annual base salary range reflects the expected hiring range(s) for this position in the ...

AI Principal Engineer

Windsor, CT · On-site

$149K - $198K/yr

... Python, TypeScript, or Rust * Experience with AI/ML frameworks, LLM technologies, and data ... The below annual base salary range reflects the expected hiring range(s) for this position in the ...

Lead Platform Engineer

Hartford, CT

$103K - $136K/yr

... and the Python scientific stack. Qualifications We Prefer * A flexible and patient mindset ... Experience building products that use Large Language Models (LLMs) and LLM APIs. * Technical ...

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Urgently Hiring Python Llm information

What is the difference between Urgently Hiring Python Llm vs Data Scientist?

AspectUrgently Hiring Python Llm
Primary RoleDeveloping and fine-tuning large language models using Python
Required SkillsPython, NLP, machine learning, deep learning, LLM frameworks
Work EnvironmentResearch labs, AI companies, tech startups
Industry UsageAI development, NLP applications, language model deployment

While both roles involve Python and AI, Urgently Hiring Python Llm focuses specifically on large language models, whereas Data Scientists work broadly on data analysis, modeling, and insights across various domains. The Python Llm role emphasizes deep learning and NLP expertise, often in AI-centric environments, making it more specialized compared to the versatile data science position.

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For Urgently Hiring Python Llm jobs in Connecticut, the most frequently searched job titles are:

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Cities in Connecticut with the most Urgently Hiring Python Llm job openings:

Software Engineer (Fulltime - Onsite)

Cleo Consulting

Stamford, CT • On-site

Contractor

Posted 17 days ago


Job description

Job Title: Software Engineer
Location: Stamford, Connecticut
Full-time On-site no remote OR Hybrid

Hiring Manager notes

  • Fast process with responsive HM: Interview process is just a 15-min phone screen, one technical round (live coding), and a behavioral/onsite.
  • High fillability with clear specs: The hiring manager gave extremely specific requirements (T3 stack, Python, LLM APIs) and a concrete example candidate profile.

About

  • Client is an investment firm managing roughly $700 million, primarily a hedge fund with some private equity.
  • Team of 10, split between Fort Worth, Texas, and Stamford, Connecticut.

Role Requirements

  • Looking for a full-stack generalist with experience in the T3 stack (TypeScript, Python, AWS).
  • Proficiency in Python is necessary; familiarity with AI engineering, automation, and finance is a plus.
  • Required: 2 - 7 years of experience in full-stack software development experience, with proficiency in the T3 stack and python
  • Must have: Ability to read and write Python for scripting and automation
  • Experience with relational databases and writing production-quality SQL

Nice to have

  • Experience with AI/LLM APIs to build automations or agentic workflows
  • Finance, fintech, or quant-adjacent company background (including additional major/minor in undergrad)

Compensation and Logistics

  • Role is in-person in Stamford, Connecticut, five days a week.
  • Base salary range from $160,000 to $230,000, with potential discretionary bonus.
  • Interview Process
  • Initial screen, followed by 15-minute phone call, technical round, behavioral round, and on-site interview.
  • Technical assessments may involve building a project in real-time to evaluate problem-solving and coding skills.
  • Traits to avoid Job hopper — multiple short stints (e.g., 5 companies in 7 years)

Questions to ask

  • What's something cool you've built outside of a professional context — whether it's a personal tool, a side project, a sports betting model, or anything else you made just because you were curious?
  • What's your familiarity or interest in financial markets, investing, or other data-driven/quantitative domains like sports analytics?

About Client

  • Client is an investment firm founded 8.5 years ago that manages approximately $700 million in assets. The firm operates as a combination of hedge fund and private equity, with a flexible mandate spanning fundamental equities, credit investing, and private equity investing.
  • Client has delivered top 1 percentile net returns since inception, with high-20s net annualized performance. The firm has grown from $5 million on day one to ~$700 million under management, and counts some of the top universities in the world among its investors.
  • Client Labs is the quantitative research and technology arm supporting the Client Opportunities Fund. Their work spans three core areas:
  • Portfolio Support & Analytics: Serving as a research partner to the portfolio manager and fundamental analyst team, identifying areas of strength and weakness through rigorous quantitative analysis and building tools to improve core fund performance.
  • Risk Management: Designing and deploying custom factor hedges, constructing bespoke hedge baskets tailored to the fund's specific risk profile.
  • Alpha Factor Research: Developing proprietary alpha factors using fundamental and alternative data sources to identify high- and low-quality businesses, with potential to operate as standalone systematic investment strategies.
  • The firm is investing heavily in building proprietary software tools and AI integrations across every aspect of the research process — from idea generation to position sizing to LLM integrations — creating real technological edge in investment research.

“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)