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Senior LLM Engineer – GenAI​/ML; Python, Langchain

Job in San Diego, San Diego County, California, 92101, USA
Listing for: Executive Staff Recruiters / ESR Healthcare
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python
Salary/Wage Range or Industry Benchmark: 41000 - 77000 USD Yearly USD 41000.00 77000.00 YEAR
Job Description & How to Apply Below
Position: Senior LLM Engineer – GenAI / ML (Python, Langchain)

Senior LLM Engineer

remote

Software development

Referral Bonus $150

Required Skills

Machine Learning

Artificial Intelligence

Job Description

Senior LLM Engineer - GenAI / ML (Python, Langchain)

Full Time

Location:

India

Overall

Experience:

7-12 Years

Focus:
Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.

Key Responsibilities:
  • Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.
  • Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.
  • Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.
  • Translate business needs into scalable, production-ready AI solutions.
  • Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.
  • Contribute to architecture discussions, code reviews, and performance optimization.
Skills Required:
  • Proficient in Python, Langchain, and SQL.
  • Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.
  • Background in machine learning or software engineering with a focus on system-level thinking.
  • Experience working with cloud platforms like AWS, Azure, or GCP.
  • Ability to work independently while collaborating effectively across teams.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications:
  • 1+ years of hands-on experience in LLMs and Generative AI techniques.
  • Experience contributing to ML/AI product pipelines or end-to-end deployments.
  • Familiarity with MLOps and scalable deployment patterns for AI models.
  • Prior exposure to client-facing projects or cross-functional AI teams.
Position Requirements
10+ Years work experience
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