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Open nowFirst seen 36 hours ago

Python + Gen AI Developer - REMOTE

ADV TECHMINDS509 open roles

Where
Hyderabad, Telangana, India, Remote
Work mode
Remote
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Your applicationOpen nowPython + Gen AI Developer - REMOTEADV TECHMINDS · Hyderabad, Telangana, India, Remote

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 36 hours ago

The posting

Python + Gen AI

Experience: 7+ years to 9years

Model: Work from Home

Python + Gen AI

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.

· Version Control Systems:

  • GitHub
  • Managing code changes and collaborating with other team members
  • Maintaining a history of code revisions.

· Continuous Integration/Continuous Deployment (CI/CD):

  • 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:

  • Agile methodologies such as Scrum or Kanban
  • Planning for Iterative development cycles
  • 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

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