Job Description

GeekyAnts India Pvt Ltd

Services

251 - 500

Employees

4.5

Reviews

Bengaluru, Karnataka

Location

About company

GeekyAnts is a design and development studio that specializes in building solutions for web and mobile that drive innovation and transform industries and lives. They hold expertise in state-of-the-art technologies like React, React Native, Flutter, Angular, Vue, NodeJS, Python, Svelte and more.


GeekyAnts has worked with around 500+ clients all across the globe, delivering tailored solutions to a wide array of industries like Healthcare, Finance, Education, Banking, Gaming, Manufacturing, Real Estate and more. They are trusted tech partners of some of the world's top corporate giants and have helped small to mid-sized companies realize their vision and transform digitally. They are also the registered service suppliers for Google LLC since 2017.


They provide services ranging from Web & Mobile Development, UI/UX design, Business Analysis, Product Management, DevOps, QA, API Development, Delivery & Support and more.


In addition to that, GeekyAnts is the brains behind React Native's most famous UI library; NativeBase (15000+ GitHub Stars), BuilderX, Vue Native, Flutter Starter, apibeats and hold numerous other Open Source contributions to their name. GeekyAnts has offices in India (Bangalore) and the UK (London)

1

vacancy

AI/ML Engineer - II

Posted a day ago



Not Disclosed
Salary


3+ Year
Experience


Bengaluru, Karnataka
Location

We are seeking a

Python-Focused AI/ML Engineer

with strong backend engineering expertise to build and integrate intelligent systems into production applications. This role combines backend development, data pipelines, and applied AI integration -- working with APIs, SDKs, and orchestration layers that connect cloud AI services and self-hosted models.

Key Responsibilities

Backend & API Development

Develop and maintain high-performance FastAPI/Flask microservices for AI-driven products Integrate AI/ML models into backend APIs for chatbots, RAG systems, and recommendation engines Implement secure RESTful and event-driven APIs with versioning, error handling, and monitoring Manage authentication, rate limiting, and audit logging for AI endpoints

AI Integration & Tools

Integrate cloud AI APIs (OpenAI, Anthropic, Gemini, Groq, etc.) and self-hosted models (Ollama, vLLM) Develop SDK wrappers for text, image, video, and voice-based intelligence modules Use LangChain, LlamaIndex, and embeddings for retrieval-augmented generation (RAG) workflows Implement pipelines for document parsing, summarization, and contextual reasoning

Data & Database Engineering

Build data ingestion and transformation pipelines using Pandas, NumPy, or Airflow/Prefect Integrate and query vector databases (Pinecone, Weaviate, pgvector, Milvus) for embeddings Design schemas and optimize queries for PostgreSQL and NoSQL systems supporting AI workloads Handle structured/unstructured data (PDFs, audio, text) efficiently for downstream AI tasks

AI Services & Architecture

Architect scalable, modular components for multimodal AI (text, speech, image) Build SDK-based AI services for unified orchestration across multiple providers Optimize backend-to-model communication for low latency and high throughput Collaborate with frontend and DevOps teams for full-stack integration

MLOps & Model Handling (Optional)

Basic familiarity with model deployment using Docker, MLflow, or TorchServe Support fine-tuning and inference workflows when required Exposure to Vertex AI / SageMaker / KServe is a plus

Required Skills

Programming & Development

Strong proficiency in Python, OOP principles, and API design Experience with FastAPI or Flask microservices Understanding of PyTorch or TensorFlow frameworks

Databases

Proficiency in PostgreSQL, Redis, and vector databases like Pinecone, Weaviate, pgvector, or Milvus

AI & Integration Tools

Experience with LangChain, LlamaIndex, HuggingFace, OpenAI, or similar APIs Familiarity with FOSS AI stacks, embeddings, and agentic frameworks (LangGraph, CrewAI, AutoGen) Knowledge of MCP and A2A communication protocols

Architecture & Infrastructure

Understanding of REST APIs, microservices, and containerized deployments Working knowledge of Docker; basic Kubernetes/GPU familiarity preferred

Soft Skills

Strong analytical reasoning and ownership mindset Collaborative and agile work style across multi-functional teams Ability to write clean, maintainable, production-grade code Curiosity and self-drive to explore the evolving AI ecosystem

Good-to-Have Skills

Familiarity with speech, image, or document AI APIs (Whisper, DALLE, Textract, Stable Diffusion) Experience integrating cloud AI providers (AWS Bedrock, GCP Vertex AI, Azure OpenAI) Knowledge of embedding optimization, LoRA/PEFT fine-tuning, and data validation tools Awareness of data governance and observability tools (EvidentlyAI, Prometheus, Grafana)

Educational Background

Bachelor's or Master's in Computer Science, Data Science, or related fields Certifications in Python, AI/ML, or Cloud AI are advantageous

What You'll Build

AI-driven backend systems integrating multiple AI providers via unified SDKs Scalable RAG and conversational agents connected to real-time data Intelligent APIs enabling text, speech, and image-based AI experiences

Educational Qualifications

Bachelor's degree in B.Tech/B.E

Rounds description

Preliminary Assessment Round
This will be a

Virtual AI Interview

.


Make sure your entire screen is shared and you are using a Laptop

Please keep your updated resume along Ensure your phone is on silent mode to avoid interruptions. This round will include just a basic communication assessment

Wishing you the very best!

HR Discussion