GenAI Developer

Core Experience Requirements

• Minimum 10 years of experience in Python microservices development.
• Strong background in Python development and Generative AI, especially prompt engineering.
• 10–18 years overall experience across the broader technical stack, including networking (if relevant to the JD's intent).

• Leverage GenAI to accelerate:
  • Requirement gathering and analysis
  • High‑level and low‑level design creation (HLD/LLD)
  • Reverse engineering of existing applications
  • Development for enterprise‑scale projects
• Lead and enable development teams to effectively use GenAI tools and frameworks.
• Reverse engineer application codebases (Python, Java, Angular, Mule Soft) to auto‑generate:
  • Architecture diagrams
  • Data flow diagrams
  • Sequence diagrams
• Accelerate design creation using GenAI methodologies.
• Propose API specifications aligned to system and domain needs.
• Apply Domain‑Driven Design (DDD) patterns in solution architecture.
• Utilize Claude Code, Git Hub Copilot, and similar tools to support:
  • Pull Request reviews
  • Automated test generation
  • Development, code refactoring, and optimization
• Build and deploy AI agents using Lang Chain and Lang Graph, integrated with enterprise APIs.
• Implement RAG (Retrieval‑Augmented Generation) pipelines for knowledge‑driven applications.
• Drive prompt engineering best practices and GenAI use‑case adoption across teams.
• Conduct workshops and training sessions for developers on GenAI tools and frameworks.
• Ensure security compliance and promote responsible AI usage across implementations.

• Strong proficiency in Python and microservice development.
• Hands‑on experience with:
  • Claude Code
  • Git Hub Copilot
  • Prompt engineering
• Expertise in:
  • Lang Chain
  • Lang Graph
  • Lang Flow
  • Agent‑based architectures
• Solid understanding of:
  • Software design principles
  • Domain‑Driven Design (DDD)
  • Cloud‑native architectures
• Experience building AI solutions integrated with enterprise APIs.

• Familiarity with AWS services such as:
  • Bedrock
  • Lambda
  • S3
  • DynamoDB
  • Postgres / PGVector
• Knowledge of:
  • Containerization (Docker)
  • CI/CD pipelines
• Experience with:
  • Vector databases
  • Embedding models
  • LLM fine‑tuning
• Understanding of:
  • AI governance
  • Bias mitigation
  • Responsible AI frameworks
• Proficiency with:
  • FastAPI
  • Lang Chain
  • Lang Graph
  • Bedrock
  • Anthropic APIs
• Experience with observability tools for AI workflows.

• Strong leadership and mentoring capabilities.
• Excellent communication and cross‑team collaboration skills.
• Ability to drive innovation and champion GenAI adoption across teams.

The pay range that the employer in good faith reasonably expects to pay for this position is $47.34/hour - $73.96/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and;

maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.