AI/ML Engineer

3 - 4 years

0 Lacs

Posted:20 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a highly skilled and self-driven Machine Learning Engineer with 3–4

years of hands-on experience in Generative AI, LLM-based systems, prompt

engineering, vector databases, and agentic AI automation. The ideal candidate will

have a strong background in Python, knowledge retrieval systems, and deploying AI-

powered automation for tasks involving documents, communication, and workflows.

You will work at the forefront of AI-driven automation, helping us build intelligent

systems that interact with unstructured data, automate decision-making, and deliver

real-time insights using cutting-edge Gen AI tools and frameworks.

Key Responsibilities:

  • Design, build, and deploy AI agents and agentic workflows for document

understanding, communication automation, and knowledge retrieval.

  • Develop, fine-tune, and optimize LLM prompts, RAG pipelines, and memory-

based systems for contextual AI.

  • Integrate and manage vector databases (e.g., Pinecone, Weaviate, FAISS) for

scalable semantic search and retrieval.

  • Develop and maintain Python-based pipelines, APIs, and microservices for AI

automation tasks.

  • Work with structured and unstructured data, including PDFs, emails, and text

data, to generate actionable insights using Gen AI.

  • Collaborate with product, data, and engineering teams to design scalable AI

solutions.

  • Evaluate and integrate external LLM APIs (e.g., OpenAI, Anthropic, Mistral, etc.)

and open-source LLMs (e.g., Llama, Mistral, etc.).

  • Monitor and optimize AI model performance, latency, and cost. Stay updated on advancements in agentic AI, LLM frameworks, vector

search, and Gen AI tools; recommend adoption where appropriate.

Required Skills & Qualifications:

  • 3–4 years of experience in Machine Learning / AI engineering, with a focus on

Gen AI and LLMs.

  • Proficiency in Python, including frameworks like LangChain, LlamaIndex,

FastAPI, Pydantic, etc.

  • Strong experience in prompt engineering and LLM integration (e.g., OpenAI,

Claude, Mistral).

  • Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS,

Chroma).

  • Experience building retrieval-augmented generation (RAG) systems.
  • Familiarity with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI,

AutogenStudio).

  • Strong understanding of document processing, including OCR, PDF parsing,

text embeddings, and summarization.

  • Comfortable working with APIs, webhooks, and automation of communication

workflows (e.g., email, chat, scheduling).

  • Solid understanding of data structures, algorithms, and performance

optimization.

  • Excellent problem-solving skills, ownership mindset, and ability to work in a fast-

paced environment.

Nice to Have:

  • Experience with LLM fine-tuning or model distillation.
  • Knowledge of Docker, Kubernetes, and cloud services (e.g., AWS, GCP, Azure).
  • Familiarity with open-source LLMs (e.g., Llama, Mistral, Zephyr) and

deployment using vLLM, Ollama, or Modal.

  • Exposure to PostgreSQL, Redis, and task queues like Celery or RQ.
  • Experience with AI observability tools (e.g., LangSmith, Helicone, Phoenix) is a

plus.Soft Skills:

  • Strong written and verbal communication skills.
  • Ability to manage ambiguity and drive projects independently.
  • Passion for staying updated with AI research and applying it to real-world use

cases.

Job Type: Full-time

Pay: Up to ₹1,900,000.00 per month

Benefits:

  • Health insurance

Work Location: In person

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