Talantix.io
Luxoft•02.03.26
AI SCORE 8.5

Senior AI Engineer - Remote Position for Financial Software

$120K–$150K/year
RemoteFinTech
Python•NLP•Machine Learning•SQL•Generative AI•API Integration•Data Extraction

About the Role

We are looking for a Senior AI Engineer to join our team remotely. In this role, you will leverage your expertise in AI and machine learning to develop innovative solutions for a large financial software platform. As a Senior AI Engineer, you will be instrumental in creating a state-of-the-art NLP assistant that enhances data extraction, API integration, and automated reporting.

What You'll Do

  • Implement NLP solutions using Python to develop features for our financial software platform.
  • Utilize your skills in prompt engineering to create, refine, and optimize prompts for generative AI models.
  • Build systems for data extraction from databases using advanced NLP techniques.
  • Develop and maintain integrations with various APIs to enhance the NLP assistant's capabilities.
  • Automate the generation of detailed financial reports using generative AI.
  • Collaborate with software engineers, business analysts, and stakeholders to deliver high-quality solutions.
  • Stay updated with the latest advancements in NLP and generative AI for continuous improvement.

Requirements

  • A degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field with a strong emphasis on AI and machine learning.
  • Proven experience in data science, machine learning engineering, and NLP.
  • Proficiency in Python and experience with data science libraries.
  • Experience with prompt engineering and fine-tuning large language models.
  • Familiarity with SQL and experience with Model Context Protocol (MCP) standard.
  • Experience with Text-to-SQL (NL2SQL).
  • Excellent problem-solving skills and attention to detail.
  • Strong verbal and written communication skills.

Nice to Have

  • Experience with financial software.

What We Offer

  • Competitive salary in the range of $120,000 to $150,000 per year.
  • Fully remote work environment.
  • Opportunity to work with cutting-edge technologies in AI and machine learning.
  • Collaborative team culture with a focus on innovation.
  • Continuous learning and professional development opportunities.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior AI Engineer role offers a unique opportunity to work remotely on innovative NLP solutions for a leading financial software platform.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Expertise in Python and experience with NLP libraries such as NLTK or SpaCy, allowing for effective implementation of machine learning algorithms tailored for financial data.

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Strong self-motivation and discipline suited for remote work, enabling the candidate to manage their time effectively while collaborating with cross-functional teams on API integration projects.

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Demonstrated experience in deploying machine learning models in production environments, particularly with generative AI applications that enhance data extraction and automated reporting workflows.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Natural Language Processing with Pythonarticle

Career Path

Senior AI Engineer(Now)→Lead AI Engineer(1-2 years)→AI Solutions Architect(3-5 years)

Market Overview

Market Size 2024
$15.7B
Annual Growth
22.4%
AI Adoption in Financial Services
64%
Investment in Generative AI
+250%
Labour Demand for AI Engineers
+38%
Avg Salary for Senior AI Engineer
$145K

Skills & Requirements

Required
PythonNLPMachine Learning
Growing in Demand
Deep LearningCloud Computing (AWS, Azure)Data Visualization (Tableau, Power BI)
Declining
R (for data analysis)Hadoop (MapReduce)

Domain Trends

Increased Regulatory Compliance
Financial institutions are increasingly adopting AI to enhance compliance with regulations, with 57% of firms reporting AI's role in risk management.
Focus on Ethical AI
Over 75% of financial organizations are prioritizing ethical AI practices, leading to a demand for engineers who can integrate fairness and transparency into models.
Rise of No-Code/Low-Code Platforms
The adoption of no-code and low-code platforms is rising, with a 40% increase in their use for AI model deployment, affecting traditional software development roles.

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