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

Executive Staff Recruiters / ESR Healthcare; United States; Remote; USD 41,000 - 77,000; Full time

Benefits offered by this job

Referral Bonus $150

Job summary

Executive Staff Recruiters / ESR Healthcare seeks a Senior LLM Engineer to design, build, and deploy GenAI and LLM-based solutions. The role emphasizes hands-on engineering with Python, Langchain, and cloud deployments, while shaping the technical roadmap and collaborating across teams.

The ideal candidate brings 7–12 years of experience in ML or software engineering, strong Python expertise, and the ability to translate business needs into scalable AI solutions in a remote, globally distributed

Qualifications

• Strong proficiency in Python and Langchain.
• Experience with LLM internals, prompt tuning, embeddings.
• Background in ML or software engineering with system-level thinking.
• Experience with cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design GenAI/LLM systems using Langchain and RAG.
• Implement prompt engineering and agent-based frameworks.
• Collaborate on technical roadmap for LLM initiatives.
• Translate business needs into production AI solutions.
• Work with SMEs and data teams for model alignment.
• Contribute to architecture reviews and performance optimization.

Skills

Python

Langchain

SQL

Prompt engineering

RAG pipelines

Tools

AWS

Azure

GCP

Job description

Senior LLM Engineer

remote

https://work.turing.com/r/02BvEn8UPe

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.