Full Stack Python Developers with Java Script

Company Description

MillionLogics, a trusted Oracle Partner, is a global IT solutions provider with a strong presence in London, UK, and a dynamic development hub in Hyderabad, India. Our mission is to empower businesses through innovative Data & AI services, seamless Cloud solutions, IT consulting, and enterprise application optimisation, with a focus on Oracle technologies. With a team of 40+ Oracle experts, we deliver tailored, outcomes-driven solutions to meet diverse client needs. At MillionLogics, we prioritise user-focused digital transformation, driving innovation and excellence to unlock business potential.

Role Description

This is a remote, contract opportunity with one of our reputable US-based clients.

We're a coding-focused team at Turing that serves as a research partner for a Frontier AI Lab. Our role is to build coding tasks, evaluations, datasets, and tooling that help train and improve large language models (LLMs).

You'll write and debug production-quality code, design rigorous evaluations, and build reproducible workflows that generate clean, high-signal data for model training. Attention to detail matters deeply here-small mistakes can cascade into misleading results, so precision and thoroughness are essential. You'll also collaborate closely with engineers, researchers, and quality owners to align on standards, review work, and continuously raise the quality bar.

If you enjoy solving unusual technical problems, investigating subtle model failures, and working in developer-like environments where correctness, reproducibility, and collaboration matter, this role will keep you very entertained.

Compensation: $1800 Per month

What does day-to-day look like:

• Evaluate LLM models for areas of finance where models do not perform well.
• Leverage your experience in finance to help AI learn about how to build models, conduct financial analyses, etc.
• Create rubrics to assess model capabilities on specific areas of your finance expertise (such as deal analysis, M&A assessments, and more).
• Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Required Skills :

• Experience using LLM coding tools (Cursor, Copilot, CodeWhisperer). Strong hands-on coding experience (professional or research-based) in one or more of: Python, JavaScript / Node.js, TypeScript
• (Additional languages like Go, Java, C++, C#, Rust, SQL, R, Dart, etc. are a plus)
• Solid experience with Linux + Bash, scripting, and automation
• Strong with Docker, reproducible environments, and dev containers
• Advanced Git skills (branching, diffs, patches, conflict resolution)
• Solid understanding of testing and QA (unit, integration, negative, edge-case focused)
• Ability to reliably overlap with 8 am12 pm PT

Nice-to-Have:

• Experience using LLM coding tools (Cursor, Copilot, CodeWhisperer)
• Experience with dataset creation, annotation, evaluation, or ML pipelines
• Familiarity with benchmarks like SWE Bench or Terminal Bench
• Background in QA automation, DevOps, ML systems, or data engineering

Offer Details:

• Any Bachelor's/Master Degree holders
• Commitments Required: 8 hours per day with an overlap of 4 hours with PST.
• Engagementtype: Contractor assignment (no medical/paid leave)
• Duration of contract: 12 months; [expected start date is next week]
• Location: Fully Remote
• Evaluation Process: 1 round of technical interview + 15 minutes cultural discussion

How to Apply: Please apply via Linkedin or send us your updated CV to [Confidential Information] with job id: 57081