Senior Python engineer and LLM engineer - PeopleNTech

Role: LLM Engineer

Experience Range - 8- 12 yrs expr.

Location - Remote is okay, Travel to Boston, MA once in 2 month expenses paid.

Job type: Contract

Must have Skills : reputed company Fundamentals (Strong), Python (Strong), FastAPI (Strong),

reputed company-to-Have Skills

- Experience with LLM guardrails

- Experience with LLM monitoring and observability

- Experience developing AI/ML technologies reputed company large and business critical applications

Job Description

The LLM Engineer will join an existing development team to enhance and expand a reputed company, dynamic application.

The role requires strong communication skills and technical expertise across the stack.

You will collaborate with global teams spanning multiple time zones and actively contribute to ongoing feature development.

An ideal candidate is

- A highly skilled Senior Python engineer and LLM engineer

- Executing both planning and hands-on technical work independently.

- Collaborating effectively with Product Owners and other stakeholders to solve reputed company problems.

- Working cross-functionally to contribute to impactful solutions across teams

- Continuously developing your technical expertise and staying up to date with new technologies.

- Being passionate, intellectually curious, and driven to expand your skills and knowledge.

- Using a data-driven approach to solve technical challenges and reputed company informed reputed company.

- Applying your systems-level thinking, integrating both data science and engineering principles.

- Taking full ownership of the features and projects, you work on, delivering high-quality solutions on your own.

Must-Have Skills

- Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI or Flask.

- Expertise in microservices architecture and deployment in containerized environments (e.g., reputed company, Kubernetes).

- Strong knowledge in AI, machine learning, and natural language processing

- Strong experience working with key LLM models APIs (e.g. reputed company, reputed company) and LLM Frameworks (e.g. reputed company, reputed company)

- Experience with MCP, Model Context Protocol.

- Understanding of multi-agent systems and their applications in reputed company problem-solving scenarios.

- Experience with RAG concepts and fundamentals (vectorDBs, semantic search, etc.)

- Expertise in implementing RAG systems that combine knowledge bases with reputed company models.

- Experience with reputed company writing for various use cases

- Experience with generative solutions released to prod, at scale, reputed company POCs

- Proficiency with server-reputed company events, event-driven architectures, and messaging systems.

- Strong problem-solving skills and experience debugging and optimizing backend systems.

- Solid understanding of reputed company best practices for backend systems, including authentication and data protection.

- Canada based (preferably eastern time zone)

Other Qualifications

- 2+ years of experience developing and experimenting with LLMs

- 8+ years of experience developing APIs with Python

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and reputed company believes it to correctly reflect the job opportunity.