Python + Gen AI Developer - REMOTE

ADV TECHMINDS; Hyderabad; Remote; INR 2,500,000 - 4,000,000; Full time

Job summary

ADV TECHMINDS is seeking a Python + Gen AI Developer for a remote role in India. You will build scalable LLM-based applications, harness LangChain/LangGraph, RAG approaches, and cloud-native microservices to deliver production-ready solutions across global teams.

Ideal candidates have 7–9 years of software experience, strong Python, GenAI exposure, and a focus on testing, CI/CD, and collaboration. This is a remote role with potential multi-time zone coordination.

Qualifications

• Engineering experience in a tier-1 organization (8–15 years).
• Strong Python programming skills with at least 5 years of experience.
• Minimum 6 months of experience working with GenAI applications.
• Leadership and mentoring experience, ability to guide other engineers and collaborate with global teams.

Responsibilities

• Architect, implement, and optimize Generative AI applications leveraging large language models and agentic frameworks.
• Work with RAG techniques, vector databases, and observability to deliver production-ready ML solutions.

Skills

Python

GenAI

LLM integration

LangChain

RAG frameworks

Cloud platforms

Microservices

CI/CD

Testing

Mentoring

Git

Tools

Docker

Kubernetes

GitHub Actions

Datadog

PostgreSQL

NoSQL

Job description

About the job Python + Gen AI Developer - REMOTE

Experience: 7+ years to 9years

Model: Work from Home

Main Responsibilities

• LLM Application Development: Architect, implement, and optimize Generative AI applications leveraging Large Language Models (LLMs). Quickly learn and adopt agentic frameworks (e.g., LangChain, LangGraph) to orchestrate LLM-based agents.
• Working with RAG frameworks: Use techniques such as chunking, hybrid search, query translation, similarity search, vector DBs, evaluation metrics, and ANN algorithms.
• Monitoring performance: Using observability services such as Datadog for LLM Observability and analytics.
• Keep track of latest research: Given that this is a fast evolving field, its important to keep track of the latest advancements in fine-tuning, RLHF, and prompt engineering advancements such as DSPy.
• System Design & Architecture: Translate high-level product requirements into scalable, modular software designs that adhere to modern design principles, microservices architecture, and cloud-native best practices.
• Testing & Integration: Develop comprehensive test suites (unit, integration, and end-to-end) to ensure code quality, maintaining a minimum of 90% test coverage. Integrate solutions across systems, perform bug fixes, and conduct rigorous quality assurance.
• Collaboration & Mentorship: Collaborate with cross-functional stakeholders, including business analysts, product managers, and global development teams. Mentor junior engineers, guiding them through LLM-based solution design, implementation, and deployment.
• Agile Delivery: Work in an agile environment, planning and executing sprints, meeting strict deadlines, and efficiently handling production issues across multiple time zones.
• CI/CD & Version Control: Employ CI/CD pipelines (GitHub Actions or similar) and maintain code versioning in GitHub for seamless, frequent releases.

Key Result Area

• LLM Solutions Delivery: Launch production-ready LLM-based agentic applications on schedule, ensuring quality and scalability.
• Quality & Automation:Achieve high-quality daily releases and ensure automation covers at least 90% of the test cases.
• Risk Management & Reporting:Proactively identify risks and effectively communicate them to stakeholders. Maintain transparent and timely reporting of development progress and metrics.

Skillsets

• Strong proficiency in Python programming language (minimum 5 years)
• Minimum 6 months experience working with GenAI applications
• Strong communication skills since we work with a global team
• Leadership and Mentoring:
  • Guiding and mentoring other engineers
  • Providing technical expertise
• Experience with cloud platforms (e.g Azure, AWS).
• Knowledge of microservices architecture and containerization technologies (e.g., Docker, Kubernetes).
• Experience with RESTful APIs and API design principles.
• Understanding of database management systems (e.g., NoSQL, PostgreSQL).
• Proficiency with Git for version control.
• GitHub
  • Managing code changes and collaborating with other team members
  • Maintaining a history of code revisions.
  • Tools like GitHub Actions
  • Integrating the automation into CI/CD pipelines
• Problem-Solving and Analytical Thinking:
  • Designing efficient automation solutions/Framework
  • Ability to identify and troubleshoot complex software defects
  • Agile methodologies such as Scrum or Kanban
  • Manage frequent releases
• Risk Assessment and Mitigation:
  • Ability to identify and mitigate risks related to software quality.
  • Measure how well risks are documented and managed throughout the project.

Qualifications & Experience

• Engineering experience in a tier-1 organization for a period of 8 to 15 years.
• Strong proficiency in Python programming language (minimum 5 years)
• Minimum 6 months experience working with GenAI applications