Python API Developer

2 days ago


Remote, India Actinsoft Technology Solutions Full time ₹ 70,000 - ₹ 10,00,000 per year

Position: Python API Developer (AI + Finance Domain)

Domain: Finance (Banking, Investments, Risk & Compliance)

Location: Remote

Type: Full-time

Role Overview

We are seeking a highly skilled Python API Developer with strong expertise in building scalable, secure APIs, along with AI/ML knowledge and finance domain experience.

The ideal candidate will design, develop, and optimize API-driven systems that integrate financial data platforms with AI-powered analytics and decisioning engines.

You will collaborate with AI engineers, data scientists, and finance SMEs to deliver

intelligent, high-performance solutions for trading, risk management, fraud detection,

regulatory compliance, and financial reporting.

Key Responsibilities

  • API Development
  • Design, build, and maintain RESTful & GraphQL APIs using Python (FastAPI,

Flask, Django REST).

  • Ensure scalability, low-latency, and secure API communication for financial

applications.

  • Implement authentication/authorization frameworks (OAuth2, JWT, SSO).
  • AI & Data Integration
  • Integrate APIs with AI/ML models (predictive risk models, fraud detection,

portfolio optimization).

  • Work with data pipelines (ETL/ELT) to consume structured/unstructured

financial data.

  • Enable real-time scoring/inference APIs for AI models.
  • Finance Domain Use Cases
  • Collaborate with finance SMEs to implement APIs for risk assessment,

compliance reporting, fraud detection, and predictive analytics.

  • Build API endpoints that interface with market data providers, trading

systems, and regulatory platforms.

  • DevOps & Security
  • Implement API monitoring, logging, and performance optimization.
  • Ensure compliance with financial data security standards (e.g., SOC2, PCI

DSS, GDPR).

  • Automate CI/CD workflows for API deployment in cloud environments (AWS,

Azure, GCP).

  • Collaboration
  • Partner with data scientists to operationalize AI/ML models.
  • Work closely with finance stakeholders to translate requirements into

technical solutions.

  • Mentor junior developers on best practices for Python API and AI integration.

Required Skills & Experience

Core Technical

  • Strong expertise in Python and modern API frameworks (FastAPI, Flask, Django

REST).

  • Experience with API lifecycle management, performance tuning, and versioning.
  • Knowledge of databases (Postgres, MySQL, MongoDB, Redis) and ORMs

(SQLAlchemy, Django ORM).

  • Familiarity with message brokers & streaming (Kafka, RabbitMQ).
  • AI/ML Knowledge
  • Understanding of ML model deployment (scikit-learn, TensorFlow, PyTorch).
  • Knowledge of AI integration patterns (batch inference, real-time APIs, vector

databases).

  • Exposure to NLP in finance (sentiment analysis, document intelligence, chatbots).
  • Git/GitHub, CI/CD pipelines, Agile/Scrum methodology.
  • Strong problem-solving and system design skills.
  • Experience with cloud environments (AWS, Azure, GCP) and containerization

(Docker, Kubernetes).

Finance Domain

  • Experience with financial datasets (trades, positions, risk, compliance, payments).
  • Understanding of capital markets, investment banking, or fintech systems.
  • Familiarity with risk models (VaR, credit risk, fraud detection) and regulatory

frameworks (Basel III, MiFID, AML/KYC).

  • Financial model building

Preferred Qualifications

  • Prior experience building AI-powered financial products (fraud detection,

algorithmic trading, robo-advisors).

  • Exposure to LLM-based APIs (OpenAI, Hugging Face, LangChain) for finance

applications.

  • Contributions to open-source projects or AI/FinTech communities.
  • Bachelors or Master's degree in Computer Science, Data Science, or Financial

Engineering.

Job Types: Full-time, Permanent, Contractual / Temporary

Contract length: 24 months

Pay: ₹700, ₹1,000,000.00 per year

Experience:

  • Python API Developer: 4 years (Required)
  • Finance Domain: 4 years (Required)

Work Location: Remote


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