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Principal Member of Technical Staff - AI & Data Engineering @athena India

[Hiring] Principal Member of Technical Staff - AI & Data Engineering @athena India

Mar 16, 2025 - athena India is hiring a remote Principal Member of Technical Staff - AI & Data Engineering. 💸 Salary: unspecified. 📍Location: USA, India.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This position requires expertise in designing, developing, debugging, and maintaining AI-powered applications and data engineering workflows for both local and cloud environments.

  • Work on large-scale projects, optimizing AI/ML pipelines, and ensuring scalable data infrastructure.
  • Integrate Generative AI (GenAI) capabilities, build data pipelines for AI model training, and deploy scalable AI-powered microservices.
  • Collaborate with AI/ML, Data Engineering, DevOps, and Product teams to deliver impactful solutions that enhance products and services.
  • Desirable experience in retrieval-augmented generation (RAG), fine-tuning pre-trained LLMs, AI model evaluation, data pipeline automation, and optimizing cloud-based AI deployments.

Responsibilities

  • AI-Powered Software Development & API Integration:
    • Develop AI-driven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloud-native deployment and performance optimization.
    • Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval, classification, and decision-making.
  • Data Engineering & AI Model Performance Optimization:
    • Design, build, and optimize scalable data pipelines for AI/ML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake.
    • Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, top-k sampling, max tokens settings).
  • Microservices, APIs & Security:
    • Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication.
    • Implement AI-powered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices.
  • AI & Data Engineering Collaboration:
    • Work with AI/ML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and real-time/batch processing for AI-driven solutions.
    • Engage in Agile ceremonies, backlog refinement, and collaborative problem-solving to scale AI-powered workflows in areas like fraud detection, claims processing, and intelligent automation.
  • Cross-Functional Coordination and Communication:
    • Collaborate with Product, UX, and Compliance teams to align AI-powered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2).
    • Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency.
  • Mentorship & Knowledge Sharing:
    • Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledge-sharing sessions.

Qualifications

  • 12-18 years of experience in software engineering or AI/ML development, preferably in AI-driven solutions.
  • Hands-on experience with Agile development, SDLC, CI/CD pipelines, and AI model deployment lifecycles.
  • Bachelor’s Degree or equivalent in Computer Science, Engineering, Data Science, or a related field.
  • Proficiency in full-stack development with expertise in Python (preferred for AI), Java.
  • Experience with structured & unstructured data:
    • SQL (PostgreSQL, MySQL, SQL Server)
    • NoSQL (OpenSearch, Redis, Elasticsearch)
    • Vector Databases (FAISS, Pinecone, ChromaDB)
  • Cloud & AI Infrastructure:
    • AWS: Lambda, SageMaker, ECS, S3
    • Azure: Azure OpenAI, ML Studio
  • GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI.
  • Experience in LLM deployment, retrieval-augmented generation (RAG), and AI search optimization.
  • Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment.
  • Strong problem-solving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams.
  • Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption.

Benefits

  • Health and financial benefits.
  • Perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces.
  • Events throughout the year, including book clubs, external speakers, and hackathons.
  • Company culture based on learning, support of an engaged team, and an inclusive environment where all employees are valued.
  • Encouragement of a better work-life balance with flexibility in work arrangements.

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Principal Member of Technical Staff - AI & Data Engineering @athena India
Software Development
Salary 💸 unspecified
Remote Location
USA, India
Job Type full-time
Posted Mar 16, 2025
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📍 Be aware of the location restriction for this remote position: USA, India
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