Posted:5 days ago| Platform: Indeed logo

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On-site

Job Type

Full Time

Job Description

Job Description

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, DALL·E, 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

Job Types: Full-time, Permanent

Pay: ₹500,000.00 - ₹1,000,000.00 per year

Benefits:

  • Flexible schedule
  • Health insurance
  • Paid sick time
  • Provident Fund

Ability to commute/relocate:

  • Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

  • What is your experience with AI and Machine Learning?
  • What is your Notice period?
  • What is your Current CTC?
  • What is your expected CTC?

Education:

  • Bachelor's (Required)

Work Location: In person

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