Python LLM Engineer

Python LLM Engineer (WFH)

Experience: 3 - 5 Years

Salary: INR 20,00,000-35,00,000 / year

Preferred Notice Period: Within 15 days

Shift: 10:30 AM to 7:30 PM IST

Opportunity Type: Remote

Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients.)

Must have skills required :

API, Communication, LangChain, LLMs, Pinecone/ Weaviate/ FAISS/ ChromaDB, rag, AWS, Python

Good to have skills :

CI/CD, multimodal AI, Prompt engineering, Reinforcement Learning, Voice AI

Platformance (One of Uplers' Clients) is Looking for:

Python LLM Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

We are seeking a highly skilled Python LLM Engineer to join our AI team. The ideal candidate should have deep expertise in large language models (LLMs), experience in building Retrieval-Augmented Generation (RAG) systems, and a strong background in AI-driven applications. This role requires hands-on experience with LangChain, multimodal AI, vector databases, agentic AI, and cloud-based AI infrastructure, particularly AWS and AWS Bedrock. Python will be the primary development language for this role.

Key Responsibilities:

• Design, develop, and optimize applications leveraging LLMs using LangChain and other frameworks.
• Build and fine-tune Retrieval-Augmented Generation (RAG) based AI systems for efficient information retrieval.
• Implement and integrate major LLM APIs such as OpenAI, Anthropic, Google Gemini, and Mistral.
• Develop and optimize AI-driven voice applications and conversational agents using Python.
• Research and apply the latest advancements in AI, multimodal models, and vector databases.
• Architect and deploy scalable AI applications using AWS services, including AWS Bedrock.
• Design and implement vector search solutions using Pinecone, Weaviate, FAISS, or similar technologies.
• Develop agentic AI products that leverage autonomous decision-making and multi-agent coordination.
• Write efficient and scalable backend services in Python for AI-powered applications.
• Develop and optimize AI model fine-tuning and inference pipelines in Python.
• Implement end-to-end MLOps pipelines for model training, deployment, and monitoring using Python-based tools.
• Optimize LLM inference for performance and cost efficiency using Python frameworks.
• Ensure the security, scalability, and reliability of AI systems deployed in cloud environments.

Required Skills and Experience:

• Strong experience with Large Language Models (LLMs) and their APIs (OpenAI, Anthropic, Cohere, Google Gemini, Mistral, etc.).
• Proficiency in LangChain and experience in developing modular AI pipelines.
• Deep knowledge of Retrieval-Augmented Generation (RAG) and its implementation.
• Experience with voice AI technologies, ASR (Automatic Speech Recognition), and TTS (Text-to-Speech), using Python-based frameworks.
• Familiarity with multimodal AI models (text, image, audio, and video processing) and Python libraries such as OpenCV, PIL, and SpeechRecognition.
• Hands-on experience with vector databases (Pinecone, Weaviate, FAISS, ChromaDB, etc.).
• Strong background in developing agentic AI products and autonomous AI workflows.
• Expertise in Python for AI/ML development, including libraries like TensorFlow, PyTorch, Hugging Face, FastAPI, and LangChain.
• Experience with AWS cloud services, including AWS Bedrock, Lambda, S3, and API Gateway, with Python-based implementations.
• Strong understanding of AI infrastructure, model deployment, and cloud scalability.

Preferred Qualifications:

• Experience in reinforcement learning and self-improving AI agents.
• Exposure to prompt engineering, chain-of-thought prompting, and function calling.
• Prior experience in building production-grade AI applications in enterprise environments.
• Familiarity with CI/CD pipelines for AI model deployment and monitoring, using Python-based tools such as DVC, MLflow, and Airflow.

Why Join Us?

• Work with cutting-edge AI technologies and build next-gen AI products.
• Be part of a highly technical and innovative AI-driven team.
• Competitive salary, stock options, and benefits.
• Opportunity to shape the future of AI-driven applications and agentic AI systems.

Engagement Type: Direct-hire on the TBD payroll on behalf of platformance

Job Type: Permanent

Location: Remote

Working time: 10:30 AM to 7:30 PM IST

Interview Process -

• The HR team will conduct an initial culture fit assessment before technical rounds.
• Initial Technical Discussion: Live discussion to assess core competencies.
• Technical Assignment: Candidates will be given 4 days to complete a hands-on coding test.
• Final Interview (Optional): Review of the coding test and further technical discussion if required.

How to Apply?

Easy 3-Step Process:

• Step 1: Click On Apply! And Register or Login on our portal
• Step 2: Upload updated Resume & Complete the Screening Form
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Platformance is a Growth Technology Platform that helps brands connect with customers using a pay-per-outcome model. Platformance is a growth technology platform built to help advertisers achieve measurable business outcomes, not just marketing results. Our mission is to simplify the complexities of digital advertising while ensuring every campaign delivers tangible results.

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!